Architecture David Culler University of California, Berkeley Intel Research Berkeley .
á - University of California, Berkeley
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PRAVEEN JOSEPH PRAVEEN JOSEPH, CFA SENIOR FIXED INCOME PORTFOLIO MANAGER Washington, D.C 202-290-0464 [email protected] ACADEMICS & PROFESSIONAL SUMMARY: Senior Fixed Income Portfolio Manager for IFC Treasury. 12 years’ experience working in London, New York and Washington DC. Prior experience in Investment Banking, Investment Management and Hedge Funds. Strong quantitative background with undergraduate degree in engineering from IIT Madras and applied master’s in Quantitative finance and economics from the London School of Economics. Direct experience in trading and independently managing the securitized credit portfolio for over 4 years. Extensive experience in stochastic models, financial forecasting, Markov chain Monte Carlo simulations, Algo. trading and complex derivative securities pricing. PROFESSIONAL EXPERIENCE IFC TREASURY, Washington DC | Senior Portfolio Manager 2013 – PRESENT Currently managing $4.8 Billion in US securitized credit assets (ABS, RMBS, CMBS) with a RAROC of 68% and PnL of $76 Million in FY18 contributing to 15% of the total corporation’s revenue. Performed credit selection and due-diligence for over 500 transactions in, Cash flow modelling in ‘Intex’ and trading of hedges for ABS, RMBS & CMBS securities in ‘Bloomberg’. Senior trader and project leader (managed a team of 6) for Financial Machine Learning toolkit which culminated in creating a python based Algorithmic trading platform, the very first of its kind developed at IFC. Selected amongst 155 IFC Treasury colleagues to be on an exchange assignment at EBRD in London for 18 months - helped manage the corporate bond, ABS and derivative portfolio plus inter-organizational knowledge sharing. Developed statistical macro trading models in G20 rates (Swaps, Swaptions. X-CCY Swaps, FX Swaps, Futures and TIPS) developed strong ABS trading relationships at JPMorgan, Goldman Sachs, Credit Suisse, Morgan Stanley et al. MN INVEST, London | Senior Vice President for Investment Strategy 2011 –2013 Designed & developed a multi-asset optimization tool in Python which was used to make asset allocation decisions and develop investment strategy for £1.5Bn of UK pension assets which were directly managed under my purview. Specialized in derivatives hedging solution to mitigate invest risk in client portfolio, thereby boosting Sharpe ratio to 1.8 from 1.2, a 50% increase in risk adjusted return in a 2-year period of the overall managed portfolio. Youngest member of the Asset allocation committee – invited to join the Asset allocation committee after 1 year of exceptional track record in derivative risk management. TWO PI CAPITAL, London | Quantitative Trader 2011 – 2011 Developed quantitative trading strategies for FX and equities using vector co-integration models in Python, enhanced the model developed during my master’s thesis applying Kalman filters to equities and FX. Developed a high frequency data analysis tool in Python to identify trading signals for currency pairs, the model used PCA to reduce dimensionality and a clustering algorithm to detect statistical arbitrage signals in HF data. J.P. MORGAN, London and New York | Vice President, Investment Banking and Trading 2006 – 2011 Executed over 200 successful transaction for JPMorgan’s clients in UK, USA, Germany and Netherlands on structured derivative products including, correlation options, digital options, reverse convertibles and TRS. Advised on 8 M&A transactions with market value > $20 Billion in asset acquisitions from 2006 to 2011. Programmed a MATLAB based multi-asset simulation tool used for ALM advisory and derivative hedging solutions by JPMorgan Investment Bank for targeted use by Pension funds and Insurance clients in UK, US and Germany.
Transcript of á - University of California, Berkeley
PRAVEEN JOSEPH
PRAVEEN JOSEPH, CFA SENIOR FIXED INCOME PORTFOLIO MANAGER
Washington, D.C 202-290-0464 [email protected]
ACADEMICS & PROFESSIONAL SUMMARY: Senior Fixed Income Portfolio Manager for IFC Treasury. 12 years’ experience working in London, New York and Washington DC. Prior experience in Investment Banking, Investment Management and Hedge Funds. Strong quantitative background with undergraduate degree in engineering from IIT Madras and applied master’s in Quantitative finance and economics from the London School of Economics. Direct experience in trading and independently managing the securitized credit portfolio for over 4 years. Extensive experience in stochastic models, financial forecasting, Markov chain Monte Carlo simulations, Algo. trading and complex derivative securities pricing. PROFESSIONAL EXPERIENCE IFC TREASURY, Washington DC | Senior Portfolio Manager 2013 – PRESENT
Currently managing $4.8 Billion in US securitized credit assets (ABS, RMBS, CMBS) with a RAROC of 68% and PnL of $76 Million in FY18 contributing to 15% of the total corporation’s revenue.
Performed credit selection and due-diligence for over 500 transactions in, Cash flow modelling in ‘Intex’ and trading of hedges for ABS, RMBS & CMBS securities in ‘Bloomberg’.
Senior trader and project leader (managed a team of 6) for Financial Machine Learning toolkit which culminated in creating a python based Algorithmic trading platform, the very first of its kind developed at IFC.
Selected amongst 155 IFC Treasury colleagues to be on an exchange assignment at EBRD in London for 18 months - helped manage the corporate bond, ABS and derivative portfolio plus inter-organizational knowledge sharing.
Developed statistical macro trading models in G20 rates (Swaps, Swaptions. X-CCY Swaps, FX Swaps, Futures and TIPS) developed strong ABS trading relationships at JPMorgan, Goldman Sachs, Credit Suisse, Morgan Stanley et al.
MN INVEST, London | Senior Vice President for Investment Strategy 2011 –2013 Designed & developed a multi-asset optimization tool in Python which was used to make asset allocation decisions
and develop investment strategy for £1.5Bn of UK pension assets which were directly managed under my purview. Specialized in derivatives hedging solution to mitigate invest risk in client portfolio, thereby boosting Sharpe ratio to
1.8 from 1.2, a 50% increase in risk adjusted return in a 2-year period of the overall managed portfolio. Youngest member of the Asset allocation committee – invited to join the Asset allocation committee after 1 year of
exceptional track record in derivative risk management.
TWO PI CAPITAL, London | Quantitative Trader 2011 – 2011 Developed quantitative trading strategies for FX and equities using vector co-integration models in Python, enhanced
the model developed during my master’s thesis applying Kalman filters to equities and FX. Developed a high frequency data analysis tool in Python to identify trading signals for currency pairs, the model used
PCA to reduce dimensionality and a clustering algorithm to detect statistical arbitrage signals in HF data.
J.P. MORGAN, London and New York | Vice President, Investment Banking and Trading 2006 – 2011 Executed over 200 successful transaction for JPMorgan’s clients in UK, USA, Germany and Netherlands on structured
derivative products including, correlation options, digital options, reverse convertibles and TRS. Advised on 8 M&A transactions with market value > $20 Billion in asset acquisitions from 2006 to 2011. Programmed a MATLAB based multi-asset simulation tool used for ALM advisory and derivative hedging solutions by
JPMorgan Investment Bank for targeted use by Pension funds and Insurance clients in UK, US and Germany.
PRAVEEN JOSEPH
PROFESSIONAL EXPERTISE QUANTITATIVE SPECIALIZATION PROGRAMMING LANGUAGES Structured Credit | ABS | Gilts Financial Machine Learning | AI C++ (10 years) | MATLAB (15 years) Corporate Bonds | Student loans | High Freq. Trading | MC Simulation | Python (8 years) | Java (3 years) Derivative trading strategies | Multi-asset optimization | Big Data Bloomberg | Intex | Eviews
EDUCATION STANFORD UNIVERSITY, USA || GPA: 3.7 JUN 2018 - JUN 2019 Graduate Certificate in Quantitative Finance | Department of Statistics | IFC Treasury Scholarship Courses: Machine Learning, Algorithmic trading, Stochastic models and Statistical Arbitrage Enrolled in graduate courses for credit as part of SCPD at Stanford University (for professional students). CFA INSTITUTE, USA JAN 2015 - AUG 2017 CFA Charterholder | World Bank Academic Merit Scholarship (100%) Curriculum: Quantitative Methods, Corporate Finance, Financial Reporting, Portfolio Mgmt. and Security Analysis Received 100% merit scholarship towards course materials, tuition and exam fees from the world bank LONDON SCHOOL OF ECONOMICS (LSE), UK || GPA: 4.0 SEP 2005 - AUG 2006 Master of Science | Quantitative Finance and Economics | J.N. Tata Scholar to LSE Relevant courses: Stochastic calculus, Derivative Pricing, Forecasting fin. time series and Financial Econometrics MSc Dissertation: Completed a 6000-word dissertation on Co-integration analysis of Treasury yields in MATLAB INDIAN INSTITUTE OF TECHNOLOGY- MADRAS (IIT), INDIA || GPA: 3.60 JUN 2001 - MAY 2005 Bachelor of Technology | Major: Engineering | Minor: Finance | Dean’s special achievement award Relevant courses: Multivariate Calculus, Partial Diff. Equations, Linear Algebra, Statistical methods, Data Structures. Dean’s special achievement award winner (only student in 2005) & IIT Alumni Scholar for research (top 1%) Received graduate admission to Princeton University, Stanford University, Oxford University and LSE in 2005.
CONFERENCES & LEADERSHIP ROLES International Conference speaker at the Australian Securitization conference in Sydney 2017 Guest Lecturer for the MS. Financial Engineering program at NYU Tandon School of Engineering 2016 PIMCO Institute Seminar - Portfolio manager's conference, Newport Beach, CA 2015 Derivatives Training for portfolio managers - Goldman Sachs University, New York 2014 General Secretary, World Bank youth network 2013 Secretary, IIT Madras Debating and Elocution Society 2005 President, IIT Madras Entrepreneurship Club. 2004 Volunteer, DC Soup kitchen for the homeless 2017
ACADEMIC ACHIEVEMENTS AND AWARDS International Finance Corporation (IFC), Corporate performance award 2018 World Bank academic merit Scholarship for CFA (level I, II & III). 2017 IFC Knowbel Award Runner up for innovative derivative transaction. 2014 J.N. Tata Endowment Scholar to the London School of Economics (Top 0.1% of applicants). 2005 Admitted to master’s programs at Princeton, Stanford, Oxford and the LSE. 2005 Runner-up to the Rhodes India Scholarship (Final 12 out of 20,000) 2005 Dean’s Scholarship for special achievements, IIT Madras (Top 1%). 2004 All India Rank 106 in the National Science Olympiad (Top 0.1%). 1999
