Yubo Cao 201 Albert Way Apt 2117, Princeton, NJ 08540 • yuboc@princeton.edu • (217) 979-3521

Education

Princeton University Aug 2020 – May 2022(Expected) Master in Finance Princeton, NJ

University of Illinois at Urbana-Champaign Aug 2016 – May 2020 Bachelor of Science in Computer Science: GPA: 3.95 / 4.00 Champaign, IL Bachelor of Science in Mathematics: GPA: 3.95 / 4.00

o Coursework: Data Structure • Discrete Math • Numerical Method • Algorithms • System Programming • Database • Machine Learning • Statistics & Probability • Time Series • Stochastic Process

Intern Experience

Citadel Enterprise Americas LLC May 2019 – Aug 2019 Software Engineer Intern Chicago, IL o Provided and rewrote Python bindings and R bindings for several classes by Pybind and Rcpp. Moved

existing bindings’ logic to C++ to improve the performance and reduce the redundancy. Standardized class structures to make the code more maintainable and extensible.

o Analyzed symbols in a static library and decreased the size by 15% by moving the static test to google test, removing some usage of the boost libraries, and retiring unused modules.

Citadel Americas LLC Jan 2019 – May 2019 Quantitative Analyst Intern(part-time) Chicago, IL o Optimized the exponential moving average model’s module with a version twice as fast as the original.

Features including: calculating more statistics, supporting weights to input, and simultaneously calculating series with several different half-lives in one run. Reordered the calculation and truncated extreme small values to decrease numeric errors and increase stability.

o Built the moving average model using iterated exponential moving average operator which is further used by quantitative researchers to analyze data and find alphas.

o Analyzed and visualized market data. Cleaned outliers and applied linear regressions and SARIMA models to extract features. Picked less correlated features and integrated them into team’s alpha.

Research Experience

Illinois Geometry Lab - Exotic Number System Aug 2017 – Dec 2017 Research member Champaign, IL o Investigated a “Beatty-type” partition involving three parts by finding the formula of the partition and

then proved the existence of the partition. o Used Python to explore properties of the partition and find more “Beatty-type” tri-partitions. o Constructed a more general “Beatty-type” partition involving n parts and analyzed the general formula

of the partition as well as the limit of the sequences.

Skills & Interests Language: Mandarin(Native) Skills: C++, Python, R, C, Java Interests: Music(Erhu: Grade 10), Travelling

Ilham EL ASRI

Tel: +33 6 10 72 99 34 • E-mail: iasri@princeton.edu • Address : 88 College Road 2318 NGC, Princeton, NJ, 08544

EDUCATION _

Princeton University Princeton, NJ

Master in Finance September 2020 – June 2022

• Anticipated Coursework: Statistics Theory and Methods, High Frequency Trading, Theoretical Machine Learning, Fixed

Income, Econometrics, Asset Pricing, Statistical Analysis of Financial Data, Computational Finance in C++.

École Nationale des Statistiques et de l’Administration Economique (ENSAE) Paris, France

Master of Science in Applied Mathematics, Statistics, Economics and Data Science September 2018 – June 2021

Cumulative GPA: 3.9

• Relevant Coursework: Probability and Statistics, Stochastic Processes, Time Series Analysis, Optimization, Numerical Methods

and Applications, Quantitative Finance, Econometrics, Macroeconomics, Microeconomics, Machine Learning.

• Select Academic Projects: Memorandum on the effects of contractual dualization in the labor market | Statistical study of the

correlation between religious beliefs and political opinion | Monte Carlo simulation of Queuing | Time series analysis of the gross

grain labour index in France.

Lycée Du Parc Lyon, France

Grandes Écoles Preparatory Class September 2016 – June 2018

Cumulative GPA: 4.0

• Intensive Mathematics and Physics program preparing for the French “Grande École d’Ingénieur” competitive exams.

WORK EXPERIENCE

TPcube Paris, France

Data Scientist intern June 2020 – August 2020

• Use text mining models to facilitate the search for comparable companies in transfer pricing studies

• Predict the profitability of independent companies based on their attributes and macroeconomic variables. Then use the results of

these predictions to calculate adjustments to transfer pricing studies

Canal +, Vivendi Paris, France

One-year project in Applied Statistics September 2019 – June 2020

• Created a new prediction model that more accurately foresaw user churn based on aggregated data

• Developed an algorithm designed for audio-visual companies to optimize the average revenue per user to decrease user churn

Natixis Investment Banking Paris, France

Intern in the Department of Market Activities Risks, Profit & Loss, and Liquidity June 2019 – September 2019

• Identified 40 stakeholders’ user needs by creating and analyzing a survey that was sent out to the Paris, London and Tokyo offices

• Created an interim website that met the requirements of the department two weeks ahead of expected deadline by self-learning

new programming languages such as HTML, JavaScript and using SharePoint

• Created tutorial videos and built a marketing strategy in order to introduce the members of the department to the website

LEADERSHIP

ENSAE Junior Students (EJE) – student-run consulting group specializing in data science, economics and finance Paris, France

Treasurer January 2019 – June 2020

• As a member of the Executive Board, co-led EJE to be one of the top 5 Junior-Companies in France in 2019 according to the

National Confederation of Junior-Companies

• Manage 150K € turnover by estimating the draft budget and confirming it meets the objectives set out by EJE

• Organized the 40th anniversary of the firm involving 200+ former members of the EJE and ENSAE alumni

Bureau Des Sports (BDS) Paris, France

Treasurer October 2019 – June 2020

• Organized multiple sporting events involving 100+ students, such as volleyball and basketball nights, the annual 5-Schools

tournament, and two sport weekends

• Helped students receive special discounts for sport matches by organizing a sponsorship with Société Générale and a partnership

with “Place Pour Tous”

SKILLS & INTERESTS

Languages: Arabic (native), French (fluent), Spanish (intermediate), Chinese (beginner).

Programming: Python, SAS, R Studio, SQL, C++, LateX, Stata, Microsoft Office.

Awards: Runner-up in Capgemini’s Data Science Hackathon, a 24-hour competition with 80+ participants; led team of four to use machine

learning and deep learning in order to best present a solution in the medical field using the data given

Hobbies: ENSAE Basketball Team Captain, ENSAE Cheerleader & Choreographer, Singing.

Interests: Mathematics, Moroccan History

Lunyang Huang (646) 712-3816 | 70 Canal View Dr, Lawrenceville, NJ, 08648 | hly.nick1993@gmail.com

EDUCATION

Princeton University Princeton, NJ Ph.D Candidate in Economics (Financial Economics) 2016 – Present Research Interest: Finance, Macroeconomics Master in Finance, Bendheim Center for Finance 2015 –2016 Peking University Beijing B.A. in Financial Economics, Guanghua School of Management (GPA: 3.83/4.00, ranked 3/180) 2011 –2015 B.S. in Statistics, School of Mathematical Science (GPA: 3.94/4.00) 2012 –2015 Other Gold medalist in 12th Asian Physics Olympiad (APHO) and the 25th Chinese Physics Olympiad 2011 WORK EXPERIENCE Citadel LLC Chicago, IL Quantitative Research Intern, Global Quantitative Strategies Jun 2020 – Aug 2020

• FICC alpha research: developed research ideas based on academic papers and found features with weighted IC of 3.5% for forecasting daily return in 2000-2010 sample

CITIC Securities Beijing Quantitative Trading Intern, FICC Jun 2015 – Aug 2015

• Researched order book data of Chinese stock index futures to develop features for momentum strategy with mean daily IC of 9.2% for 2012-14 sample, forecasting return in seconds

• Developed statistical arbitrage strategies on calendar spread of stock index futures contracts, backtesting results with Sharpe ratio 3.2 and 62%+ hit rate after deducting trading cost

Peking University, Guanghua School of Management Beijing Research Assistant for Professor Chenxu Li Jul 2014 – Mar 2015

• Asymptotic Expansion of Implied Volatility: Independently learned Mathematica to implement method of asymptotic expansion for stochastic volatility models (e.g. CEV, Heston, Log-OU) using supercomputer TianHe

RESEARCH A Global Safe Asset from and for Emerging Economies (with Markus Brunnermeier)

• Build a model of international flight-to-safety capital flows in times of crisis. Provide rationale for emerging economies holding international reserves as a tool to alleviate flight to safety. Propose an alternative approach to avoid flight to safety through pooling and tranching the emerging economies’ domestic bonds.

Agent-based continuous-time model for macro finance

• Build continuous-time general equilibrium models with financial intermediaries to explain financial crisis and global financial cycle. In equilibrium, different types of agents solve stochastic optimal control problems to compete with each other. The model is solved with finite-difference method for Black-Scholes type PDEs.

SKILLS

Statistics & Machine Learning: Econometrics, Regression (LASSO, Ridge), Time Series Modelling (ARMA, VAR), SVM, Logistic Regression, KNN, Random Forest, K-Mean, PCA, Neural Network Probability & Optimization: Probability, Stochastic Calculus, Stochastic Process, Convex Optimization Finance & Economics: Options & Derivatives Pricing, Asset Pricing, DSGE Modeling, Game theory Programming Language: Python, MATLAB, R, C++ HONORS AND AWARDS

1. Dissertation Fellowship, Macro-Financial-Modeling Group (MFM) 2019 2. The J. EDWARD LUNDY *40 Fellowship for economics 2017 3. Princeton Graduate Economics Fellowship 2016-Present

Wenxin Huang Bendheim Center for Finance 607-697-3778 Princeton, NJ, 08544 wenxinh@princeton.edu

EDUCATION Princeton University Princeton, NJ Master in Finance Aug 2020 - May 2022 • Anticipated Coursework: Asset Pricing, Statistical Analysis of Financial Data, Corporate Finance and Financial

Accounting, Financial Econometrics Cornell University, College of Art and Sciences Ithaca, NY B.A. in Mathematics & B.A. in Economics GPA: 4.12/4.3 Aug 2016 - Dec 2019 • Membership: Omicron Delta Epsilon Economics Honor Society; Junior Inductee of Phi Beta Kappa (Top 3%), • Teaching Assistantship: Tutoring drop-in undergraduate students with math questions at the Mathematics Support Center

(2019 Fall Term) • Outstanding Achievements: Scored 14/15 in American Invitational Mathematics Examination (AIME), 2015; Top 1% in

American Mathematics Competition 12 (AMC 12), 2015

PROFESSIONAL EXPERIENCES

Chenyu Investment Shanghai, China Quantitative Analyst, Quantitative Trading Group Aug 2019 • Designed a Fama-French three-factor Model (FF-3) based upon China’s stock market by improving factor selection and

then conducted factor test via Python to assess model significance BOC International (China) Co., Ltd. Shanghai, China Internship, Department of Research May 2019 - Jun 2019 • Investigated China’s stock market and composed daily, weekly, and monthly analytical reports • Tried new methods such as Genetic Algorithm to forecast the effects of price limit changes on the stability of China’s stock

market Bank of China (BOC) Nanjing, China Internship, Financial Market Department Jul 2017 - Aug 2017 • Analyzed exchange rates of major currency pairs, including USD/RMB, USD/EUR, GBP/RMB, EUR/RMB, etc. • Studied trends of precious metal and their derivatives, especially focusing on the silver futures and forex swap • Worked with clients from transnational corporations on forwards and swaps

ACADEMIC ACTIVITIES Undergraduate Research Assistantship in Department of Economics, Cornell University Nov 2019 – Dec 2019 Supervised by Prof. David Easley • Using python to code programs solving Multidimensional Diffusion Processes in Dynamic Online Networks Cornell Alpha Fund Club, Junior Associate Sep 2017 – Dec 2019 • Presented and unscrambled news related to foreign exchange in weekly meetings • Trained fresh members in Foreign Exchange Division and managed investment on foreign exchange Ross Mathematics Program, Counselor July 2019 • Helped high school students all over the world with Math and life at ODU, including personal crisis • Designed and graded students’ problem sets, motivated their interests in Math, held seminars and dorm lectures, and

organized field trips Undergraduate Research Assistantship in Department of Economics, Cornell University Feb 2019 - Apr 2019 Research Topic: Equipment Rentals Markets in India • Cleaned up data for different implement names to standardize the entire raw dataset • Designed a queue of service that had not been fulfilled at a point in time for each hub and implement type • Concluded basic features of equipment order services by descriptive analytics and built up a probit model to measure the

possibility of an order through non-linear regression and optimization

ADDITIONAL INFORMATION

• Volunteer Movements: Worked for Girl’s Adventure in Math (GAIM) competition by grading papers and playing strategy games; Assisted in Expand Your Horizon (EYH) to stimulate junior school girls’ interests in STEM by showing women role models and fostering awareness of career opportunities

• Programming/Software Skills: Java, Python, MATLAB, Stata, Bloomberg, Wind • Personal Interests: Fine Dining, Cooking, Rock Climbing, Gaming

Robert D. Michele 3707 Sofia Court | Glenwood, MD 21738 | rmichele@princeton.edu | 443.820.5563

EDUCATION Princeton University Princeton, NJ Master in Finance August 2020 – May 2022 • Anticipated Coursework: Pricing Models and Derivatives, Statistical Analysis of Financial Data, Corporate Finance and Financial Accounting, Stochastic Calculus and Advanced Derivatives, Financial Econometrics • Pursuing Graduate Certificate in Statistics and Machine Learning

Wake Forest University Winston-Salem, NC Bachelor of Science in Mathematical Economics, summa cum laude May 2020 • Minors: Statistics, Computer Science • High Honors (top departmental thesis) • Class Rank 1/1220, Cumulative GPA 4.0/4.0 • Relevant Coursework: Time-Series Analysis, Probability, Differential Equations, Multivariable Calculus, Linear Algebra, Dynamic Programming, Cryptography, Data Structures, Artificial Intelligence, Econometrics, Monetary Theory

PROFESSIONAL EXPERIENCE Distributed Alpha LLC Columbus, OH Co-Founder July 2017 – July 2020 • Actively managed $100 thousand portfolio of blockchain-based cryptocurrency assets across Bittrex, Bitstamp, and

Coinbase-Pro corporate exchange accounts generating trade volume of over $10 million • Developed and managed database applications built on top of Amazon Web Services using MongoDB and exchange APIs

to store historical market volatility figures for statistical learning and regression analysis • Designed and optimized high-frequency, automated trading algorithms using the Go programming language • Presented on behalf of Distributed Alpha LLC at the 2017 iValley Fintech Talk Conference Startup Pitch Event

Verger Capital Management Winston-Salem, NC Investment Intern December 2019 – March 2020 • Analyzed payoff patterns for vanilla and exotic options comprising the Verger Fund’s equity hedge portfolio • Collated investment performance, translating diverse investor statements into uniform metrics • Engaged with prospective private equity partners to assess investment alignment with Verger’s Outsourced CIO model

FactSet Research Systems Chicago, IL Global Client Solutions Intern June 2019 – August 2019 • Built client-facing financial models and templates with dynamic FactSet codes using Microsoft Excel • Experienced how financial data is used by buy-side clients to best customize FactSet workstations to their workflow • Answered live support calls requiring in-depth knowledge of all FactSet tools, databases, and codes U.S. Food & Drug Administration Economics Staff Silver Spring, MD Economics Intern June 2015 – June 2016 • Compiled and cleaned pharmaceutical company and parent corporation financial data using Dun & Bradstreet datasets, quarterly financial statements, and extensive use of Microsoft Excel

LEADERSHIP Wake Fintech, Wake Forest University Winston-Salem, NC President August 2016 – May 2020 • Planned and led weekly presentations and discussions on financial technology topics including blockchain,

automated trading, and online payment systems to educate and engage students in the latest financial technology • Restructured club leadership, objectives, and marketing, building club participation from ten to three-hundred students • Served as liaison to industry representatives, corporate sponsors, and Wake Forest University departments

PROGRAMMING AND INTERESTS Actuarial Exam P, Passed July 2018 Programming: Experienced in Python, C++, Golang, Java, SQL, JavaScript, R, Stata, VBA, Mathematica, and LaTeX Interests: Wake Forest University Orchestra viola player, avid gardener, board game enthusiast, and soccer goalie

TARA RANGWANI tsr@princeton.edu • (917) 860-0254 • 5C OGC, 88 College Road W, Princeton, NJ 08544

EDUCATION Princeton University, Bendheim Center for Finance, Princeton, NJ Expected June 2022 Master of Finance: Quantitative Asset Management & Macroeconomic Forecasting Track Anticipated Coursework: Asset Pricing I & II, Statistical Analysis of Financial Data, Financial Econometrics, Fixed

Income Models & Applications, Cases in Financial Risk Management, High Frequency Trading

New York University, Leonard N. Stern School of Business, New York, NY Sept 2016 – May 2020 Bachelor of Science in Business, magna cum laude: Finance & Statistics, Mathematics Minor, Asset Pricing Track Cumulative GPA: 3.88/4.00 | Study Abroad: NYU Florence - Summer 2017, GPA: 4.00 | GRE: 332/340 (167 Math) Relevant Coursework: Probability Theory, Futures & Options, Portfolio Management, Debt Instruments & Markets, Stochastic Calculus, Regression & Multivariate Data Analysis, Forecasting Time Series Data, Private Equity Finance

Dhirubhai Ambani International School, Mumbai, India June 2014 – May 2016 International Baccalaureate Diploma Program, 44/45 points, Cumulative GPA: 3.90/4.00, SAT: 2340/2400 (800 Math)

PROFESSIONAL EXPERIENCE Calvion Capital Management, Investment Analyst, New York, NY Jan 2019 – June 2020 • Identified investment themes across asset classes in emerging markets through fundamental & political research • Investigated NLP techniques to enhance in-house news sentiment analysis and visualization methods • Developed models to identify fixed income trades based on mispriced sovereign debt restructuring assumptions • Researched and optimized technical momentum signals to determine conditions for increasing position sizes

Protocol Capital Management, Fall Analyst, New York, NY Sept 2018 – Dec 2018 • Generated regular performance reports for ~10 hedge funds and communicated with investors using Salesforce • Initiated quantitative LP engagement tracking across parameters to optimally match fund strategies to investor capital

Abbott Laboratories, Finance Intern, Mumbai, India July 2017 – Aug 2017 • Assessed the impact of the newly imposed GST (Goods & Services Tax) on sales of pharma products in Western India • Updated sales data to closely monitor trends and compare them to previous predictions and flag anomalies

RESEARCH EXPERIENCE Trading on the Directional Movement Index Mar 2020 – May 2020 • Created and back tested a trend following strategy on multiple asset classes with significant outperformances over the

traditional buy and hold strategy for high yield bonds, commodities and cryptocurrencies

Forecasting Stock Returns with Non-Invertible ARMA Models Jan 2019 – May 2019 • Collaborated with Prof. Clifford Hurvich of NYU Stern’s Volatility Institute to develop a program on R to capture non-

invertible components of time series polynomials and improve predictive accuracy

HONORS & EXTRACURRICULAR ACTIVITIES • Beta Gamma Sigma International Academic Honors Society (top 10% of class) • Dean’s List for all academic years (given to students who maintain annual CGPA >3.7) • Member of NYU Beta Alpha Psi Finance & Accounting Honors Society • Staff writer and design team member of ‘The Gould Standard’, NYU Stern’s student-run paper • Teaching Assistant for ‘Commerce and Culture’, a ~200 student class exploring portrayals of business in the media • Editor of ‘The Call for Corporate Action’, an annual publication to address societal issues with business solutions • My essay ‘Could Trash Cure Haiti’s Employment Crisis’ was among 10/400 published student proposals

SKILLS AND INTERESTS Technical Skills: Microsoft Office, Bloomberg, R, Minitab, Matlab, SQL, Salesforce Languages: Fluent Hindi, Conversational French and Spanish Interests: Football (Soccer), Art, Fashion, Period Dramas, Reality TV, Classic Rock, Açaí bowls, Duolingo

Adele Roberto Apt 106, 8 Lawrence Drive, 08540 Princeton (New Jersey)

☎ +44 (0) 7500634494 | +1 (609) 495-4104 ✉ adeleroberto4@gmail.com | adeler@princeton.edu

EDUCATION

Princeton University Princeton (New Jersey) Master in Finance Sep 2020 – May 2022

• Anticipated Coursework: Asset Pricing, Financial Econometrics, Statistical Analysis of Financial Data, Fixed Income, Quantitative Data Analysis in Finance, Machine Learning and Patterns Recognition

Imperial College London – ICBS London (United Kingdom) MSc Risk Management & Financial Engineering, Grade: Pass with Distinction Sep 2016 – Aug 2017

• Coursework: Financial Engineering, Financial Statistics, Fixed Income Securities, Structured Credit and Equity Products, Big Data in Finance, Stochastic Calculus, Data Structures and Algorithms with Python, Application of MATLAB to Finance

• MSc Applied Project Topic: Volatility Regimes - An Empirical Analysis of the S&P500 Volatility Surface

Università Commerciale ‘Luigi Bocconi’ Milano (Italy) BSc International Economics and Finance, Grade: 110 cum Laude/110 Sep 2013 – Jul 2016

• BSc Thesis Topic: Carry Trade Strategies Performance from 2000 to 2015 - A focus on the Crises as Periods of High Volatility

• Awarded ‘Best diploma of the year 2012-2013’ scholarship for academic excellence (2013-2016)

Rotman Commerce – University of Toronto Toronto (Canada) Exchange Program, GPA: 3.90/4.00 Jan 2016 – Apr 2016

• Courses: Applied Econometrics I (A+), Strategic Management (A-), Investments (A+)

• Top performer in both Applied Econometrics I and Investments courses

PROFESSIONAL EXPERIENCE

Bank of America Merrill Lynch London (United Kingdom) Global Markets – Rates Trading Associate Jan 2019 – Aug 2020 • Market-making of EUR swaps with a focus on the medium-term segment of the curve (2-15 years)

• Responsible for the desk pricing of new issue swaps and investors hedges

• Collaborated with Quantitative Research and Technology departments for the design and implementation of new applications and improvement of existing systems

• Appointed desk buddy for Summer Interns class 2019 & 2020 and Graduate Class 2019

• Created swaps pricers and RV monitors, automated risks analysis using Python

Global Markets – EMEA Rates Sales Analyst Jul 2017 – Dec 2018 • Covered Italy and Iberia regions across linear and non-linear rates products (government and SSA bonds, interest rates swaps,

inflation products and vanilla option structures)

Global Markets – Summer Intern Jun 2016 – Aug 2016 1st rotation: Electronic Trading | 2nd rotation: Central Risk Book

• Electronic Trading: built a database with information concerning 5 major exchanges

• Central Risk Book: created an automated spreadsheet to summarise the European indices trading hours according to the 10% threshold rule; developed a tool via Bloomberg API/VBA to analyse optimal clients unwinding strategies and performed a study on c. 8000 Cash Equity desk trades from February to July 2016

Lloyds Banking Group London (United Kingdom) Relationship Management – Summer Intern Jun 2015 – Sep 2015 Commercial Banking – Global Corporates and Financial Institutions, Funds

• Completed Investment Committee papers on major private equity funds; designed the Funds Pricing Database; work shadowed Credit and Financial Markets divisions

• Received an offer to join the Graduate Programme in 2016

ADDITIONAL SKILLS AND ACHIEVEMENTS

IT skills Microsoft Office – Certification: ECDL Core | Bloomberg | Programming in VBA, MATLAB, Python Additional Languages Italian Level: native speaker | French Level: intermediate Volunteering Team leader for the Lloyds-Children in Need Charity Challenge 2015 | Fundraiser for Magic Breakfast Charity Campaign 2018 | Team member of Honey Pot Charity Events 2019 Hobbies and Interests Formula 1 | Drawing | Music

Fatima Ximena Sanchez Cajal Princeton, New Jersey | (213) 577 4146 | fcajal@princeton.edu

EDUCATION

Princeton University | Princeton 08/2020 – 06/2022

Master in Finance, Certificate in Statistics and Machine Learning

• Anticipated Coursework: Pricing Models and Derivatives, Statistical Analysis of Financial Data, Corporate

Finance and Financial Accounting, Stochastic Calculus and Advanced Derivatives, Financial Economics

Instituto Tecnológico Autónomo de México (ITAM) | Mexico City 08/2010 – 12/2015

Bachelor of Science in Actuarial Science, Concentration in Financial Risk

• Thesis: Risk-return trade off in the Mexican Stock Market. Graduated with cum laude

PROFESSIONAL EXPERIENCE

Banco de México (Central Bank of Mexico) | Mexico City 12/2015 – 07/2020

Financial Researcher – Financial System Risk Analysis Directorate

▪ Applied survival analysis to model probability of default of loan-level data of mortgages and firms

▪ Analyzed the monetary policy effects on the probability of default of small and medium enterprises

▪ Designed and analyzed the Perception of Systemic Risk Survey presented for the Board of Governors and at the

Semiannual Financial System Report

▪ Implementation of a financial conditions index for the Mexican Economy

▪ Implementation and design of heatmaps for Systemic Risk analysis

Citibanamex | Mexico City 07/2015 – 11/2015

Analyst - Small and Medium Enterprises Directorate Customer Strategy

▪ Data analysis and P&L strategy of small and medium enterprises’ portfolio

National Bonding and Insurance Commission | Mexico City 04/2014 – 10/2014

Technical Intern - General Directorate of Actuarial Supervision

▪ Insurance companies reserve calculation and simulation of reserves with the Solvency II regulation

RESEARCH

“Implementing IFRS 9 in an emerging economy: A parsimonious system-wide approach based on survival analysis

with frailties” Batiz-Zuk, E., Mohamed, A., López-Gallo, F., and Sanchez-Cajal, F. Working Paper, 2018. Revise

and resubmit at the Journal of Banking and Finance.

“Monetary policy and default risk analysis using survival model with frailties”. Batiz-Zuk, E., Mohamed, A., López-

Gallo, F., and Sanchez-Cajal, F. Working Paper, 2018. Revise and resubmit at the International Journal of Finance

and Economics.

“Modeling loan default using survival analysis with frailties” Batiz-Zuk, E., Mohamed, A., López-Gallo, F., and

Sanchez-Cajal, F. Working Paper, 2018.

SKILLS AND INTERESTS

Computing: Proficient in Stata, SAS, LaTex, Microsoft Office. Experience in R, Matlab, EViews

Languages: Spanish (native)

Interests: Volleyball, Bakery, Historical Novels and Music Festivals

Zeqiu (Elisen) Wang +86 132 8212 3405 zeqiuw@princeton.edu

EDUCATION

Princeton University, Bendheim Center of Finance Princeton, NJ Master in Finance (Data Science and Financial Technology) Expected June 2022 ● Anticipated Coursework: Statistical Analysis of Financial Data, Computational Finance (C++) ● Pursuing Graduate Certificate in Statistics and Machine Learning (CSML)

The University of Hong Kong Hong Kong SAR Bachelor of Science in Quantitative Finance, Double Minor in Statistics and Math Sept 2016 – June 2020

● Major GPA 4.0/4.3, ranked top 5% at the Faculty of Business and Economics ● Dean’s Honours List: 2016 – 2017, 2017 – 2018 & 2018 – 2019 academic years ● Relevant Coursework: Probability, Mathematical Statistics, Linear Regression, Statistical Machine Learning, Big Data Analytics, Data Structure, Algorithms, Database Management Systems

New York University, Stern School of Business New York, NY International Business Exchange (IBEX) Student Sept 2019 – Dec 2019 ● GPA 4.0/4.0, Coursework: Time Series Analysis, Numerical Analysis, Debt Instruments and Markets

PROFESSIONAL & WORKING EXPERIENCE

Wisdom Asset Management CO., LTD Shanghai, China Quantitative Developer Intern, Algorithm Strategy July 2020 – Present ● Designed and developed a multiplayer artificial stock market with endogenous expectations, combined meta fundamental &

technical indexes

Next Data (China’s Leading AI Anti-Fraud Service Provider) Hangzhou, China Data Scientist Intern, Advertisement Cognition Modelling Apr 2020 – June 2020 ● Maintained the company’s spam image classification module on a two-week basis, applied newest online data to train and

update the CNN graphical model (InceptionV3), and constructed AB test to compare the new/old model difference ● Evaluated model performance on specific labels, generated new labels and training samples (junk advertisement pictures) for

the model update using web crawler, streaming data and manual augmentation ● Tested thresholds for multi-labels to balance the trade-off between precision and recall on online streaming data ● Designed a multimodal spam classifier fed with both text embedding from pretrained BERT model and image embedding from

inceptionV3, tuned a SVM classifier for concatenated input, improving recall of previous misclassified label from 90% to 95%

Ant Financials (Alipay), Alibaba Group Hangzhou, China Quantitative Modeler Intern, Robot Advisor Group, Ant Fortune June 2019 – Aug 2019 ● Designed Alipay’s promotional module "AI Guesses Rise and Fall”, where investors can bet with AI’s predictions ● Applied Hidden Markov Chain (HMM) and pure momentum probability to predict the future growth of CSI 500 index ● Conducted feature engineering via PCA on multi-features inspired by technical trading indexes, trained an unsupervised model

labelling the multi-stage (growth, plunge, vibration) of markets via Baume Welch and predicted future trend via Viterbi ● Achieved 57% winning rate in the training sample and 55% in the testing sample and formed a market timing indicator

Oasis Management Company Hong Kong SAR Equity Research Analyst Intern, Petrel Greater China Fund June 2018 – Sept 2018 ● Wrote 5 equity research reports on small to mid cap equities filtered by PEG ratios in various industries, including one company

which rose 12% 15 days after being pitched ● Mined alternative evaluation metrics (e.g., using Google Earth to calculate warehouse space for rent revenue and collecting

real-time user-spending to estimate broadcasting platform earnings) to create forecasting models of the profit growth

PROJECTS & EXTRACURRICULAR ACTIVITIES

STAT 4609 Big Data Analytics Classifying Real and Zombie Accounts in Weibo(Chinese Twitter) via Text Analytics Apr 2020 – May 2020 ● Constructed pre-processing and extracted a 10-dimensional Weibo-specific feature vector, mined analytical patterns illustrating

differences between true/fake account corpus based on tf-idf and word2vec embedding ● Calculated three embedding vector models of fake, true and 1:1 mixed account corpuses, generated a coarse pre-test classifier ● Fed pre-trained post representative vectors and Weibo-specific features, trained a GBDT account classifier with focal-loss to solve the sample asymmetry problem, achieving precision/recall of 0.60/0.80 on the post level and 0.82/0.99 on the account level

HKU Mainland Choir & Starr Choir Co-Founder of HKU MChoir & Award-Wining Best Pianist in 2018 HKU Choir Competition Sept 2016 – June 2020

SKILLS & INTERESTS Languages: Mandarin (Native), English, Cantonese (Conversational) Hobbies: Choir, Band (Champion of 2018 HKU CSSAUD Singing Contest), Hiking, Photographing Technical Skills: Python (sklearn, pandas, keras), Java, Matlab, MySQL

ZIHAN XI (+86) 188-0122-7866 | 20 Washington Road, Princeton, NJ 08544 | zihanx@princeton.edu

EDUCATION AND AWARDS

Princeton University Princeton, NJ

Master in Finance with Graduate Certificate in Machine Learning Sep 2020-Jun 2022 (Expected)

Courses: Asset Pricing, Corporate Finance and Financial Accounting, Machine Learning and AI, Database, Tech Innovation

Peking University Beijing, China

Bachelor of Economics in Finance, Guanghua School of Management Sep 2016-Jun 2020

Cumulative GPA: 3.91/4.00 (Ranking: 1/242), Core GPA: 3.97/4.00 (Ranking: 1/242)

Awards: 1st prize in Chinese Mathematical Olympiad (Top 0.001%), National Scholarship (Top 1%), Tang Lixin Scholarship

(Top 1%), CSC Scholarship (Top 1%), Freshman Scholarship (Top 5%), Distinguished Student (Top 1%, 2016-2019)

Courses: Financial Accounting (95/100, No.1), Corporate Finance (97/100), Securities Analysis (100/100), Financial Analysis

and Investment (100/100), Macroeconomics (100/100), Data Algorithm (97/100), Microelectronics and Circuit (100/100)

The Wharton School, University of Pennsylvania Philadelphia, PA

Finance Major, Exchange Student (Sponsored by China Scholarship Council) Jan 2019-May 2019

Cumulative GPA: 4.00/4.00, Courses: Fintech (A+), Acquisition & Buyout (A), Restructuring (A)

PROFESSIONAL EXPERIENCE

KKR & Co. Shanghai, China

Summer intern, Private Equity Team Jun 2020-Sep 2020

Investment Analysis: Focusing on private equity deals in industrial, healthcare, and education sectors, with main tasks

including industry briefing, company analysis, valuation modeling, due diligence, deal structure design, etc.

Industry Research: Completed initial research of several sub-sectors through desktop research and expert calls

Snow Lake Capital Beijing, China

Off-cycle intern, Consumer Team Oct 2019-Jan 2020

Investment Analysis: Completed several investment memos and automatic update database, proposed a long-short strategy for

investment in A-share listed companies, and built positions after presenting it to the portfolio manager

Follow-up Research: Provided support for tracking and follow-up research in education, appliance, liquor, agriculture and

retail companies in the portfolio, supporting portfolio adjustments

Goldman Sachs Hong Kong, China

Summer intern, Leveraged Finance team, Investment Banking Division Jun 2019-Aug 2019

Cross-border M&A: A-share listed TMT company $2.5bn M&A, leveraged financing and dividend recap; analyzed operating

data of target gaming company, designed transaction structure and terms, built operating model and drafted internal memo

Rating Advisory: A-share listed contract research organization company rating and convertible bond issuance; analyzed

business model and operating performance to summarize 5 credit highlights, built rating model (completed revenue forecast for

the second largest business and peer comparison) and prepared Q&A materials for rating agency meetings

LEADERSHIP AND ACTIVITIES

CFA Institute Research Challenge Beijing, China

Champion Team Sep 2019-Dec 2019

Conducted investment analysis of an A-share listed company including industry overview and cycle, competitive landscape,

financial projection and valuation and built a financial model

Won championship of North China region after a presentation to investment professionals and Q&A sessions

PKU Capital Market Association & PKU Hedge Fund Association Beijing, China

Presidium Member Jun 2019-Present

Acted as the chief editor of the association's monthly magazine, completed 7 reports whose topics covered macro economy,

regulation trends, news in primary and secondary markets and innovative business models, serving over 400 members

J.P. Morgan Asset & Wealth Management Challenge Shanghai & Hong Kong, China

Captain of Champion Team Jan 2018-Mar 2018

Led a team of 4 as the team leader and conducted a $100 million portfolio allocation through expert interviews, data mining

and historical data back-test, and won the championship of China mainland after a presentation to industry professionals

SKILLS AND INTERESTS

Languages: Mandarin (Native) ; GRE (332/340), TOEFL (113/120)

Skills: Proficient in Python, R, Bloomberg, Capital IQ, Thomson Reuters, FactSet, Wind; CFA level II Candidate

Interests: Go (ni-dan), Soccer (Midfielder, 1st place in PKU), a volunteer in youth development

JINGTING (EMILY) XU 20 Washington Road, Princeton, NJ 08544 | +86 18810510058 | jingting@princeton.edu

EDUCATION Princeton University Princeton, NJ Master in Finance, pursuing Graduate Certificate in Machine Learning Sept 2020 – Jun 2022 (expected) • Anticipated Coursework: Asset Pricing, Statistical Analysis of Financial Data, Fixed Income Models and

Applications, Statistical Theory and Methods, Financial Risk and Wealth Management, etc. Peking University Beijing, China Bachelor’s Degree, Major in Finance, Minor in Entrepreneurship Sept 2016 – Jul 2020 • GPA: 3.9/4.0 (rank 1/60) • Awards: National Scholarship (top 1%), Graduation with Honors, Top Merit Student of Peking University,

Fengqi Scholarship for contribution in Finance, Leo Kaiyuan Scholarship, Hongru Scholarship • Coursework: Machine Learning, Financial Time Series Analysis, Econometrics, Probability, Statistics, Data

Structure and Algorithm, Numerical Methods, Financial Accounting, Financial Derivatives University of California, Los Angeles Los Angeles, CA Exchange Student Sept 2018 – Dec 2018 • GPA: 4.0/4.0 (received A+ in all courses) • Coursework: Stochastic Processes, Programming with R, Financial Statements Analysis, Money and Banking WORK EXPERIENCE WorldQuant Beijing, China Quantitative Research Analyst Intern Sept 2019 – Aug 2020 • Initiated an accruals related equity alpha trading strategy in Python. The strategy achieved superior excess

return and low maximum drawdown in U.S. equity market in backtesting. • Applied accounting and statistical analysis to design the earnings quality score based on tax data of NYSE and

Nasdaq companies. Discovered significant alpha signal from the earnings quality score. • Backtested the market response of SEC comment letters in the U.S. and Exchange inquiry letters in China.

Developed regulatory event driven trading strategy in Python. • Automated alpha signal data generation process in Python for the accruals model and tax model. • Advised long-short equity portfolio management based on the above alpha research results. Industrial Securities Shanghai, China Quantitative Research Intern, Financial Engineering Department Jul 2019 – Aug 2019 • Built a macroeconomic dashboard in Python for asset allocation over 6 to 18 months. Discovered significant

correlation between macro factors and return of cross asset long short portfolios in Chinese market. • Read extensive papers about the multifactor model, and reproduced empirical tests in Python. JoinQuant Investment Beijing, China Quantitative Research Intern Jan 2019 – May 2019 • Developed a financial fraud screening model in Python to detect potential fraudulent companies. • Constructed a database of regulatory inquiry letters to test and enhance the financial fraud screening model. GL Capital Beijing, China Assistant Investment Analyst Jul 2018 – Aug 2018 • Analyzed financial statements of listed pharmaceutical companies and built valuation models.

RESEARCH EXPERIENCE Parametric Estimations of Stochastic Volatility Models Beijing, China Advisor: Professor Chenxu Li, Guanghua School of Management, Peking University Mar 2019 – Oct 2019 • Calibrated Heston model by observed shape characteristics of implied volatility surface. Designed Monto Carlo

simulations in MATLAB and C++ to analyze the sensitivity of estimation performance to data quality. LEADERSHIP & ACTIVITIES China Datathon Competition, Top 2 Team out of 24 Beijing, China • Applied time series model in Python to study Brexit’s impact on British labor market in one day. Dec 2019 Financial Investment Association, Committee Cochair Beijing, China • Organized seminars and competitions about quantitative finance research. Mar 2017 – Jun 2020 Investigation on Poverty Alleviation, Volunteer Shangluo, China • Assessed the outcomes of various poverty alleviation policies by interviews with locals. Jun 2017 – Jul 2017 SKILLS & INTERESTS Technical: Python, C++, MATLAB, R, Stata | Bloomberg, Wind | Microsoft Office Language: Mandarin (Native), Italian (Introductory), Japanese (Introductory) Interests: Traveling, Badminton, Yoga, Piano, Sudoku

Zilin (Kaitlin) Yan

(+86)159-0190-6648 | ziliny@princeton.edu

Education Princeton University, Bendheim Center for Finance Princeton, NJ

Master’s Degree in Financial Mathematics Aug 2020 – May 2022 (Expected)

Anticipated Coursework: Asset Pricing (Pricing Models, Derivatives, Stochastic Calculus), Financial Econometrics,

Statistical Analysis of Financial Data, Corporate Finance and Accounting. Pursuing Certificate in Machine Learning

Tsinghua University, School of Economics and Management, Center for Statistical Science Beijing, China

Bachelor’s Degree in Economics and Finance, with a Minor in Statistics Aug 2016 – June 2020

GPA: 3.96/4.0; Rank: 1/159; Minor GPA: 3.95/4.0; GRE: V165+Q170+AW5.0

Honors: Beijing & Tsinghua Outstanding Graduate Award (1%); National Scholarship (1%)

Coursework: Intermediate Financial Theory, Fixed Income Analysis, Econometrics, Investments, Real Analysis, Time Series

Analysis, Statistical Inference, Statistical Computing, Stochastic Calculus in Finance, Introduction to AI, C++, Data Structure

University of California, Berkeley, Department of Economics Berkeley, CA

Exchange Student Aug 2018 – Dec 2018

GPA: 4.0 / 4.0; Obtained A+ in graduate courses Statistics of Causal Inference and Data Analysis with Python

Professional Experience

Singapore Hedge Fund Shanghai, China Quantitative Research Intern June 2020 – Aug 2020

Researched high-frequency trading signals for four futures contracts in the Chinese market with tick data

Studied market microstructure signals and relative value strategy and combined them with tree-based machine learning

China International Capital Corporation Ltd. (CICC) Beijing, China

Quantitative Analysis Intern, Wealth Service Center Sep 2019 – Dec 2019

Responsible for database management and performance analysis of quantitative funds in China in support of FOF design

Tracked performance of 200+ funds via VBA, SQL, and Python and improved the efficiency of the code to save 50% of time

Conducted performance attribution analysis through Brinson models with Python

Wizard Quant Capital Management Zhuhai, China

High-Frequency Quantitative Research Intern July 2019 – Aug 2019

Developed HFT strategy in crude futures market and constructed 30+ alpha factors based on technical indicators

Applied Lowess regression and multivariate linear regression to 1.2 million+ data points to evaluate factor performance

Studied the performance machine learning algorithm SVR in capturing non-linearity of factors with 2000+-line Python code

Customized kernel function for trade data to improve performance. Achieved out-sample R2 10% higher than linear model

XY Investments Shanghai, China

Quantitative Strategy Research Intern Dec 2018 – Feb 2019

Conducted research in low-frequency strategy with fundamental alpha regarding analysts’ consensus expectation

Discovered anomalies in analysts’ reporting behavior and developed strategy to eliminate noise introduced

Solved a data sanity problem to enhance stability. Improved 5 day-IR from 2.4 to 3.5 and 5 day-IC from 7.9 to 14.4

Developed NLP and Latent Semantic Analysis with Python to deal with text-based information from annual reports

Projects and Research Experience

Co-author Autonomous Household Energy Management Using Deep Reinforcement Learning Aug 2018 – May 2019

Published in IEEE ICE/ITMC 2019 under guidance of Berkeley PostDoc at IEOR Department

Applied DQN and DPG to optimize electricity consumption among large groups of devices under constraints of user habits

Improved DQN algorithm with poor scalability by employing transfer learning

Responsible for implementing the DQN optimization with Python and tuning parameters for the DQN algorithm

Meritorious Winner in 2018 MCM/ ICM Mathematical Contest in Modeling Feb 2018

Performed analysis of US renewable energy consumption patterns and put forward policy advice

Applied PCA to compress 100+ potential variables and applied LASSO to select features to explain the cross-sectional pattern

Combined Grey Model and Logistic model to capture time series characteristic of evolvement at different stages

Responsible for mathematical modeling, R programming, and essay writing

Extracurricular Experience

Alumni Department at Tsinghua School of Economics and Management Beijing, China

Leader June 2017 – June 2018

Responsible for “Alumni Mentor Program”. Led the team to invite 61 alumni mentors for 300+ freshmen

Pioneered online alumni salon. Went beyond traditional finance to include big data and fintech topic. Attracted 200+ reviewers

Skills and Interests

Programming: Python (proficient, 5 years), R (proficient, 4 years), C++ (proficient), C, Matlab, Stata, SQL, VBA

Language: English (fluent), Chinese - Mandarin (native), Chinese - Shanghai (native)

Coursera: Machine Learning, Differential Equations for Engineers, Numerical Analysis

Interests: Piano, Painting, World Standard Dancing (Member of Students’ Art Group at Tsinghua University)

GRACIE XINTONG YAO

88 College Road West, Princeton, NJ 08544| (919) 924-4316 | xintongy@princeton.edu EDUCATION Princeton University Princeton, NJ Master in Finance Candidate, Bendheim Center for Finance Anticipated May 2022 • Anticipated Courses: Statistical Analysis of Financial Data; Machine Learning and Pattern Recognition, Risk Management,

Asset Pricing; Fixed Income: Models and Applications; Financial Econometrics; Stochastic Calculus University of California, Berkeley Berkeley, CA B.A., in Statistics, Data Science Concentration; Industrial Engineering and Operational Research Minor 2016 - 2020 • Major & Minor GPA: 4.00/4.00; GRE Q: 170 • Fields of Study: Machine Learning and Artificial Intelligence; Time Series Analysis; Linear Modeling; Concepts of Statistics;

Probability Theory; Optimization; Concepts in Computing with Data; Linear Algebra and Differential Equations; Applications in Data Analysis; Stochastic Process; Financial Engineering System

• Research Assistant: Statistics Department and Mathematics Department, 2017-2020 • Certificate: C++ Programming for Financial Engineering with Distinction, Baruch College • Publication: ‘Simulating galactic cosmic ray effects: Synergy modeling of murine tumor prevalence after exposure to two one-

ion beams in rapid sequence’ on Life Sciences in Space Research (co-author) WORK EXPERIENCE Bank of America Charlotte, NC Quantitative Analyst Intern 06/19-08/2019 • Performed credit risk analysis using machine learning algorithms in Python and R. Analyzed traditional risk factors and

customer’s deposit and investment relationship information to identify KPIs of delinquency • Developed prototype models for consumer credit card portfolio’s using SARIMA, PCA, logistic regression and random forest

classifiers, laying the groundwork for enhanced cross-consumer credit products analysis • Created executive report validation through in-depth analysis and partnership with multiple Consumer Credit Risk teams

resulting in improved reporting processes and identification of critical discrepancies Peltast Partners Chicago, IL Data Analyst Intern, Research and Valuation 06/18-07/18 • Conducted a research project on the steel market evaluating countries with incremental influence on US steel imports. Focused

on changing patterns of steel exports across 40 countries. Findings used by customers for long-term capital planning • Analyzed client export datasets by identifying key correlating metrics and conducting time series analysis using R • Developed Tableau dashboards highlighting product pricing, sales performance, and management tracking Tebon Securities Shanghai, China Investment Banking Analyst Intern 06/17-08/17 • Applied scenario testing to identify future business risk to IPO process through in-depth analysis of the company’s historical

performance • Conducted industry research answering regulator concerns for IPO clients. Analyzed domestic economic and industrial structures

supporting long-term profitability predictions. • Handled various inquiries regarding target company’s business plans, products, market positioning, and growth perspectives RESEARCH & PUBLICATIONS Real Estate Investment Strategy in New York City Goal: Identified housing market trends in five counties in New York City based on housing prices and rent forecasts • Deployed customized imputation methods including regular and stochastic regression, KNN, random forest, and multivariate

imputation by chained equation (MICE) • Applied time series and machine learning techniques to forecast housing prices and rent in NYC for the next five years • Developed algorithms to automatically output an optimal investment strategy based on rate of return and net profit The Analysis of Optimal Stock Execution Strategy Using Price Impact Models Goal: Used reinforcement learning to get the optimal order execution strategy under various price impact models • Given a price impact model, determined the optimal trading strategy that minimizes the expected total cost using stochastic

dynamic programming; the models analyzed linear permanent price impact, quadratic temporary price impact, and linear transient price impact

Prediction of Total Loans and Leases in Bank Credit Goal: Used self-developed neural network with long short-term memory model to predict the total loans and leases in bank credit • Extracted and selected most prominent features by exploring the Spearman correlation between Bank Loan data and other 16

different economic variables to convert time series data into a supervised learning process • Developed a Recurrent Neural Network to perform LSTM model trained using sliding windows and to forecast loans without

using future unknown economic data • Performed Bayesian optimization to tune the hyperparameters, which greatly improved the prediction accuracy to 99.9998% SKILLS AND INTERESTS Technical Skills: R, Python, C++, SQL, Tableau, Mongo Database, AMPL, Excel Language: Mandarin (Native), Latin (Elementary) Interests: Writing (short novels, poems, essays), Traveling, Cooking, Learning modern dance

FELICIA XINYING YU Suite 1504, 1080 Bay Street, M5S0A5, Toronto | (+1)647-676-4580 | fxyu@princeton.edu

EDUCATION

Princeton University, Princeton, NJ Aug 2020 – Jun 2022 (Expected)

Master in Finance, Bendheim Center for finance

• Anticipated Coursework: Asset Pricing, Financial Econometrics, Machine Learning and AI, Fixed income,

Options, Futures and Financial Derivatives, Statistical Analysis of Financial Data, etc.

University of Toronto, Toronto, ON Sep 2016 – Jun 2020

Bachelor of Science, Mathematics and Economics Specialist, Statistics Major

• Cumulative GPA: 3.82

• Honors: Faculty of Art and Science Dean’s List, Chancellor’s Scholarship for academic performance (two years)

• Coursework: Analysis, Groups and Symmetry, Nonlinear Optimization, Game Theory, Experimental

Economics, Financial Economics, Methods of Data Analysis, Probability, Time Series Analysis, etc.

INTERNSHIP EXPERIENCE

Bain & Company, Management Consulting, Shanghai, Summer Intern Jul 2019 – Sep 2019

Market entry analysis for a medical cosmetology company

• Conducted field visits to medical cosmetology companies to collect information about the target industry and

products, specifically toxins and fillers

• Administered price comparison on an ‘apple to apple’ basis for authorized brands of toxin and filler products

• Designed, implemented and analyzed an interview survey of professionals in hospitals and clinics

CITIC Securities, Investment Banking, Shanghai, Summer Intern May 2018 – Jul 2018

Worked through three projects: reconstruction, capital operation, and roadshow for refinance

• Wrote a case study on redeeming convertible bonds in advance for a capital operation scheme; demonstrated a

positive correlation between the first day share price of convertible bonds and the performance of positive share

prices during issue period

• Compared recent and past allotment release conditions and duration of verification period for allotment cases,

specifically cases and process analysis of exiting US stocks market and back to A-shares

• Researched China’s cloud computing industry penetration rate, market size and competition structure; valuated

comparator cloud computing companies in A-shares, Hong Kong, and US stock market

• Led a financial report analysis and operating performance presentation for a refinance roadshow of a cloud

computing firm, which was the first listed IDC company in A-shares and IaaS supplier for BAT and NetEase

L.E.K. Consulting, Management consulting, Shanghai, Summer Intern May 2017 – Jun 2017

Evaluated supply and price projection of China’s albumin market in the next ten years for one MNC company

• Conducted desktop research to collect data and information on leveraging databases; interviewed experts to

explore the industry; benchmarked case studies to draw high-level conclusions

• Performed due diligence for the value proposition of a joint venture manufacturing innovative Med-tech products;

participated in management interviews for internal key stakeholders and wrote preliminary analysis

• Prepared a case study for recent popular Med-tech products; included information on the companies’ data

collecting scheme, strategic use of data collected, and potential investment value of database

ACTIVITIES Leadership: Core member of UTfun student organization; founder of UT Consulting Club Sep 2017 – present

Piano: Performed in BBC documentary A Hundred Million Musicians – China’s Classical Challenge

Bridge: represented China’s National Youth Team

• Delivered lecture on bridge at JP Morgan, Shanghai, China Jun 2019

• Won gold at National Youth Bridge Championship, Shanghai, China Jan 2019

• Won silver at Paris Open, Paris, France Nov 2015

SKILLS & INTERESTS • Languages: Mandarin (native), Spanish (basic)

• Tests & Skills: CFA Level 2 Candidate, Microsoft Office, Python, think-cell, STATA, R studio

• Other Interests: tea culture, scuba diving, horse racing, and sailing

Zefeng(David) Zhang

zefengzhang473@gmail.com • (217) 377-8134 • 201 Albert Way, #2117, Princeton, NJ 08540 Education

Princeton University, Bendheim Center for Finance Princeton, NJ M.S. in Finance Candidate Expected: May 2022

Expected Coursework: Financial Risk Management, Fixed Income, Asset Pricing, Statistical Analysis of Financial Data, Statistical Theory and Methods, Probability Theory, Convex Analysis, Stochastic Calculus, Theoretical Machine Learning, Numerical Methods, Financial Econometrics, Stochastic Programming, Portfolio Theory, International Monetary Theory

Carnegie Mellon University, David A. Tepper School of Business Pittsburgh, PA B.S. in Business Administration, Double Major in Statistics and Machine Learning, Beta Gamma Sigma Aug. 2017 – May 2020 Relevant Coursework: Derivative Securities, Mathematical Finance, Investment Analysis, Data Mining, Machine Learning (PhD), Applied Machine Learning (PhD), Artificial Intelligence, Computer Systems, Functional Programming, Imperative Programming, Advanced Methods for Data Analysis, Differential Equations, Linear Algebra, Algorithms, Corporate Finance Teaching Assistant: Introductory Finance (2018), Investment Analysis (Spring 2019), and Derivative Securities (Fall 2019) Cumulative GPA: 4.00/4.00

University of Illinois at Urbana-Champaign Champaign, IL B.S. in Accounting and Finance, Edmund J. James Scholar Aug. 2016 – May 2017 Cumulative GPA: 3.97/4.00

Work & Leadership Experience

Alpha Capital Holdings, Inc. New York, NY Investment Banking Summer Analyst May 2018 – Aug. 2018

▪ Developed 3-statement operating model, conducted multiple valuation analyses including trading comps, LBO, M&A accretion/dilution, financing options and operating scenarios, using Dow purchase of Rohm Haas as case training

▪ Built buy side acquisition model and pitch book presentation for an e-commerce company to purchase a food-ordering company, analyzed cost synergy, purchase options, balance sheet adjustments and debt schedule

JGR Capital Partners New York, NY Equity Research Intern Dec. 2017 – Jan. 2018

▪ Conducted discounted free cash flow, trading comparable analysis for India Globalization Capital, Inc. (ticker: IGC) to evaluate the stock at underperform with a 30% downside to the current share price

▪ Performed research into industry trends, regulatory policies, and operational metrics to evaluate the catalysts and risks for IGC in the medical cannabinoids industry and drafted 12-page equity research initiation report for clients

Edmund J. James Scholar Undergraduate Research Assistant Program Champaign, IL Research Assistant for Professor Noah Isserman in Entrepreneurship Jan. 2017 – May 2017

▪ Interviewed five student entrepreneurs across campus and compiled their answers into a report detailing means to access funding sources as well as their preliminary plan with the funding received

▪ Researched the funding metrics developed by venture capitalists and analyzed how student entrepreneurs conveyed a commonality of interest to the investors and secured early state financing for them to grow their business

Affiliations & Extracurriculars

Carnegie Mellon University Student Government Pittsburgh, PA Joint Funding Committee Financial Advisor Nov. 2017 – Apr. 2018

▪ Managed the allocation of $1.5 million annual funding to over 300 Carnegie Mellon student organizations on campus

▪ Developed the allocation metrics for the next fiscal year, reviewed all the budgets submitted by student organizations, prepared the presentation detailing the use of funds to Student Senate and the Graduate Student Assembly

▪ Served as the liaison between 10 student organizations and JFC, assisted the organizations in adjusting their budgets per University standards, and secured 100% pass rate

Carnegie Mellon University Tepper Finance Group Pittsburgh, PA Portfolio Manager of Tartan Student Fund and Member of Investment Banking Academy Feb. 2018 – Aug. 2019

▪ Managed Carnegie Mellon’s equity investment fund by performing company research and presenting investment ideas

▪ Conducted stock ratio analysis and other equity valuation techniques to support the group’s pitches to the entire fund

Skills & Interests

Languages: Mandarin (Native), French (Basic), German (Basic)

Technical Skills: R (Proficient), C (Proficient), Python (Proficient), SML (Proficient), Java (Intermediate), Office (Proficient)

Interests: Basketball, American Football, Traveling, Cooking, Computer Vision

Ziyue Rachel Zhang Mobile: +86 13804542606 | E-mail: ziyuez@princeton.edu

EDUCATION Princeton University Princeton, NJ Master in Finance Candidate, Bendheim Center for Finance Aug 2020 – Jun 2021 (Expected) • Coursework: Asset Pricing, Statistical Analysis of Financial Data, Computational Finance in C++, Financial Risk Management The Hong Kong University of Science and Technology Hong Kong BSc in Quantitative Finance, Computer Science (Second Major), Mathematics (Third Major) Sep 2016 – Jun 2020 • CGA: 4.148 / 4.3 (top 1%) • Honors: Academic Achievement Medal (top 1%); HKSAR Government Scholarship; Beta Gamma Sigma • Coursework: Micro & Macroeconomics, Time Series Econometrics, Financial Markets Trading and Structure, Object-Oriented

Programming and Data Structures, Stochastic Calculus, Differential Equations Wharton School, University of Pennsylvania Philadelphia, PA International Student Exchange Program Aug 2018 – Dec 2018 • CGA: 4.0 / 4.0 • Coursework: Fixed Income Securities, Financial Derivatives, Data Analytics and Statistical Computing, Psychology WORK EXPERIENCE Hanrong Investment Shenzhen, China Quantitative Research Intern June 2020 – Aug 2020 • Researched and formulated CTA trading strategies based on high frequency data, conducted back-testing with parameter sensitivity

analysis and performance evaluation, proposed three CTA strategies with Sharpe Ratio over 2 • Improved an existing strategy by refining its signal with two more filters, enhanced its Sharpe Ratio and MAR Ratio • Constructed and maintained dollar bar, volume bar and imbalance bar data of 30 commodity futures based on their tick market data Coordinates Capital Management Limited Hong Kong Part-time Quantitative Analyst Intern Aug 2019 – Jan 2020 • Conducted PCA analysis on US treasuries and US swaps over 34 months using R; studied risk hedging strategies across different

tenors using the first component • Constructed an automatic monthly delta risk attribution system for bonds, futures, swaps and options in 13 currencies to facilitate

risk control for trades on basis spreads • Analyzed statistical initial margin calculation models, performed attribution analysis for the fund’s initial margin across different

brokers, currencies and products; identified fallacious charges which saved approximately 10% of the fund’s initial margin • Built automatic visualization tools for treasury bonds to visualize and analyze rolling of bond futures China Renaissance Securities (Hong Kong) Limited Hong Kong Investment Banking Division Summer Analyst Jun 2019 – Jul 2019 • Engaged in preparation of management presentations by identifying and highlighting the core competitive moats and investment

value for an IPO transaction and three US$ 100 million private placements • Provided suggestions for target companies’ equity stories and valuation by analyzing successful comparable firms • Participated in writing and organizing answers to address questions from investors by analyzing internal data pack and attending

management team interviews in a US$ 450 million private placement and a US$ 300 million convertible bond offering • Constructed financial models for a dominating tea retailer through analyzing its operating data, breaking down revenues and expenses

by identifying key drivers and projecting future growth MCM Partners Hong Kong Quantitative Strategist Part-time Intern Apr 2019 – May 2019 • Researched academic papers and implemented relevant models with modifications in python, developed liquidity and momentum

combined long-short strategies; back-tested the strategies using stocks in S&P 500 for fifteen years on four different look back windows with monthly rebalanced positions

RESEARCH EXPERIENCE Wharton School, University of Pennsylvania Sep 2018 – May 2019 Research Assistant for Competition, Profitability, and Risk Premia; Endogenous Competition and Financial Distress • Independently studied 15+ academic papers on 8 distress measuring models; quantified companies’ financial distress scores in R • Cleaned fuzzy corporate bond data over 41 years using R; consolidated 2 databases of different corporation characteristics EXTRA-CURRICULAR ACTIVITIES Wharton Investment & Trading Group, Member Sep 2018 – Dec 2018 Crossroads Foundation, Volunteer Spring 2017 Film Society, HKUST SU, Subcommittee Member Sep 2016 – Dec 2016 SKILLS & INTERESTS Technical Skills: Python, R, C++, VBA, Bloomberg, Capital IQ, Thomson ONE, Wind Language: Mandarin (Native) Interests: Folk Dance, Jogging, Piano (Level 10 certificated by Chinese Musicians’ Association, highest)

Xinyi (Kevin) Zheng 20 Washington Road, Princeton, NJ 08544 | (609)786-0380 | xinyizheng@princeton.edu

EDUCATION Princeton University Princeton, NJ Master in Finance, Bendheim Center for Finance Aug 2020 - June 2022 l Anticipated Coursework: Asset Pricing, Statistical Analysis of Financial Data, Financial Econometrics, Computational

Finance in C++, Statistical Theory and Methods, Machine Learning Peking University Beijing, China Bachelor in Finance, Guanghua School of Management Sep 2016 - June 2020 Bachelor in Applied Mathematics (Double Major), School of Mathematical Science Sep 2017 - June 2020 l Major GPA: 3.8/4.0, Graduate with Honors. Awards: National Scholarship (1%), Founder Scholarship (5%) l Relevant Coursework: C++ Programming, Data Structure and Algorithm, Ordinal Differential Equations, Numerical

Analysis, Optimization Methods, Stochastic Calculus, Econometrics, Time Series Analysis, Financial Economics University of California, Berkeley Berkeley, CA Exchange Student, Department of Economics Aug 2018 - Dec 2018 l Relevant Coursework: Econometrics (PhD-Level, A), Stochastic Processes (A), International Monetary Economics (A-) WORK EXPERIENCE Goldman Sachs Hong Kong Strats Summer Analyst, Eqs Prime Services Desk Strats, Global Markets Divison July 2020 - Aug 2020 l Built Metrics to track the performance of the risk book and visualized it on a dashboard l Researched hedging strategy for the risk book using current stock inventory and optimized the rebalancing strategy China International Capital Corporation (CICC) Beijing, China Equity Derivatives Trading Intern Dec 2019 - Jan 2020 l Developed python-based web crawler tool to monitor the daily cash flow of northbound trading through Hong Kong

Stock Connect, analyzed cash flow for different industries and generated reports to traders l Researched methods to improve the futures rollover strategy based on factors of price, volume and time to expiry Goldman Sachs Hong Kong Strats Summer Analyst, FICC Desk Strats, Global Markets Divison June 2019 - Aug 2019 1st Rotation: FICC Credit Strats, 2nd Rotation: FICC Macro Strats l Applied new SVLV stochastic volatility model to build interest rate implied volatility surface, calibrated model

parameters with empirical data and analyzed the impact on P&L and the Greeks of options l Improved fitting results of the Singapore Dollar interest rate implied volatility surface using SVLV model, enhanced

market-marking tool for traders to price the interest rate swaptions l Developed a Slang script to calculate the P&L for global credit trading book, analyzed the impact on P&L after transition

from LIBOR to other reference interest rates, and automized the process of daily report generation l Contributed to workflow automation in investment grade bond trading in the Australian market, wrote a Slang script to

automatically update Australian treasury futures data in SecDB database Boundless Asset Management Co., Ltd Beijing, China Quantitative Research Intern June 2018 - Aug 2018 l Wrote Python to build a Barra multi-factor model in the Chinese equity market, analyzed and tested more than 50 factors l Implemented market-neutral multi-factor equity strategy based on Markowitz mean-variance model, used CVXOPT

package in Python to numerically solve the convex optimization problem to get the optimal stock weights RESEARCH EXPERIENCE S&P 500 Implied Volatility Surface: Analysis of Stochastic Volatility Model Beijing, China Research Assistant, Advised by Professor Chenxu Li, Peking University Sep 2018 - Oct 2019 l Applied an expansionary algorithm to fit DMR-Heston implied volatility surface and estimated its coefficient functions l Collected and analyzed the S&P 500 index option data, wrote R code to nonparametrically estimate the coefficient

functions of Heston model by a new algorithm in Ait-Sahalia, Li, & Li, Implied Stochastic Volatility Models (2019) LEADERSHIP & INVOLVEMENT 2018 Bain Case Competition Beijing, China Team Leader Apr 2018 - May 2018 l Conducted industry analysis on restaurant and food services in China with the Quanjude as target company, analyzed

reasons for recent profit decline of Quanjude from the perspective of consumer demand and online market development l Proposed transformation strategy for Quanjude over a 5 year period; ranked in the top 3% among teams in China SKILLS & INTERESTS l Language: Mandarin (Native) l Computer Skills: Python, C/C++, R, MATLAB, Latex, Wind, Microsoft Office l Interests: Basketball, Bridge, Chinese Go (amateur 4 dan) l l sd