QUANTINSTI QUANTITATIVE LEARNING
Algorithmic & Quantitative Trading Institute
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03 About us
04 Advisory board
05 Flagship programme - EPATTM
06 Self-learning portal - Quantra®
07 Alumni speak
08 Our users & alumni
09 Core team
11 Workshops and webinars
Contents
With the advent of Algorithmic Trading in global markets and the benefits it brings to traders across the board, it is imperative to develop domain knowledge and expertise in quantitative and qualitative Algorithmic Trading skills. QuantInsti® is Asia’s pioneer Algorithmic Trading Research and Training Institute, conducting professional programmes in this rapidly growing domain. The institute is focused on preparing professionals in the financial industry for the contemporary field of Algorithmic and Quantitative Trading.
QuantInsti®’s flagship programme ‘Executive Programme in Algorithmic Trading’ (EPATTM) has benefited participants from over 55 countries. Apart from imparting knowledge on advanced concepts, QuantInsti® provides practical insights into aspects like system architecture & latency, standardized protocols, trading strategy design methodologies and risk management for algorithmic trading, and exposure to new developments/tools in this domain.
QuantInsti® has also designed education modules for various exchanges in South and South-East Asia and for various educational and financial institutions. Given the practical nature of the industry, QuantInsti® has always been associated through its various activities with industry’s biggest names across the globe including tier-1 educational and financial institutions.
QuantInsti® is headquartered in Mumbai.
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About us
Advisory boardProfessor Gautam Mitra
Prof. Mitra was awarded the title “Distinguished Professor”
by Brunel University in recognition of his contributions in the
domain of computational optimization, risk analytics and
modelling. He is an internationally renowned research scientist
in the field of Operational Research in general and computational
optimization and modelling in particular. OptiRisk Systems,
for which he directs research, is today a leader in the domain
of financial analytics. Professor Mitra is also the founder and
chairman of UNICOM Seminars. He has developed a world class
research group in his area of specialization with researchers
from Europe, UK, USA and India. He has published five books
and over 150 research articles. He is an alumnus of UCL and
currently a Visiting Professor of UCL.
Dr. Ernest P. Chan
Dr. Chan is a commodity pool operator and trading advisor. Since
1994, he has been focusing on the development of statistical
models and advanced computer algorithms to find patterns and
trends in large quantities of data. He has applied his expertise in
statistical pattern recognition to projects ranging from textual
retrieval at IBM Research, mining customer relationship data
at Morgan Stanley, and statistical arbitrage trading strategy
research at Credit Suisse, Mapleridge Capital Management, and
other hedge funds.
Distinguished Professor, CARISMA, Brunel University
Founder & Managing Director, OptiRisk Systems
Managing Member, QTS Capital Management, LLC
Author, Quantitative Trading: How to Build Your Own Algorithmic Trading Business
Author, Algorithmic Trading: Winning Strategies and Their Rationale
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Flagship offering - EPATTM
QuantInsti® provides high-level training for professionals
looking to grow in the field, or planning to start their careers
in Algorithmic or Quantitative Trading.
It focuses on inspiring traders towards a successful trading
career, by focusing on derivatives, quantitative trading,
electronic market making, trading related technology and risk
management.
The programme is built around a fully examined core of three
modules:
• Statistics & Econometrics
• Algorithmic & Quantitative Trading
• Financial Computing & Technology
The course covers all aspects of the theory and practice of
quantitative tools, products and methods.
In addition to EPAT™ for individuals, EPAT™ for Business is a
recent initiative by QuantInsti® that aims towards helping
organizations stay ahead of the changing landscape and
offers the right platform to launch as well as flourish in
the quantitative and algorithmic trading domain. We at
QuantInsti® partner with organizations to enhance the skill set
of their workforce and help them develop quantitative trading
skills. Students for this programme get to learn from an
acclaimed team of industry experts and market practitioners
in the field.
Features• Practical Exposure – Acquire the knowledge, tools &
techniques used by traders in the real world
• Expert teaching & support – The EPAT™ faculty is an
acclaimed team of academicians and professionals who are
all specialists in the field
• Career Services – Our career services and job resources
become available to you the moment you begin the
programme & last throughout your professional career
To know more, log on to www.quantinsti.com/epat
Key Elements• Duration – 6 months
• Specialization – Particular asset class and/
or trading strategy through the project work
• Online Delivery – A focused learning
experience consisting of practical sessions
conducted through web-meetings and virtual
learning environment
• Student Portal – All relevant lecture
notes, query forms, recorded lecture videos,
assignments and supplementary readings are
easily accessible through a personal account on
the learning management system
• Certification – Assessment comprises of
assignments, quiz, and attendance during
the course in addition to the final exam. On
successful completion, participants will receive a
certificate from QuantInsti Quantitative Learning
Pvt. Ltd.
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The Executive Programme in Algorithmic Trading
Mean Reversion Strategies In Python – By Dr. Ernest Chan
Python For Trading!
Options Trading Strategies In Python: Basic
Trading With Machine Learning: Regression
Quantitative Trading Strategies And Models
Trading Using Options Sentiment Indicators
Trading With Machine Learning: Classification And SVM
Introduction To Machine Learning For Trading
Quantra® is an e-learning portal by QuantInsti® that specializes in short courses on Algorithmic & Quantitative Trading.
SELF-PACED LEARNINGQuantra makes your learning experience a lot more comfortable by letting you learn at your own pace.
INTERACTIVE EXERCISESIt is a smart teaching tool which evaluates your code at each step in real time for any mistakes and gives suggestions
and hints, allowing you to learn as you code.
TRADING EXPERTSThe programme is designed by Market practitioners and Market experts, so that the learner gets the best learning
curriculum that is most relevant to the industry.
COMMUNITYQuantra has an active community where you can post your queries and start new discussion threads with other users,
instructors and expert quants accessing this platform.
To know more about Quantra visit us at https://quantra.quantinsti.com
Quantra offers joint certification programmes by QuantInsti® and other leading financial institutions.
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Self-learning portal - Quantra®
First and foremost I am very happy with the support
provided by the administration team. Faculty is greatly
committed at resolving queries. This programme has an
amazing facility of recording and viewing videos of the
lecture.
Marco Nicolas Dibo
CEO & Co-Founder, Quanticko Trading S.A.
EPAT™ helped me to interact with a growing
community of alumni from more diverse
backgrounds. If you are looking for a professional
overview of the space, or already an expert looking
at some new topics EPAT™ can help you learn
something new. I look forward to seeing a continued
growth in QuantInsti® as well as the network of clever
people coming out of the program.
Derek WoNg
Director of Systematic and Options Trading Beijing, China
I think EPAT™ by QuantInsti® is currently one of the
best courses in Algorithmic trading in the world. The
way the course has been designed and the vastly
experienced faculty they have on board makes
EPAT™ one of the best in the world. Also, the LMS
(online learning platform) is super user-friendly
and allows you to connect to your batchmates from
across the globe.
rohit gupta
Senior Associate, ARC Capital Ltd. Shanghai, China
Career OpportunitiesQuantInsti®’s Career Management & Career
Development Resources offers support that is relevant
for participants seeking new opportunities as well as
for employers who want to add value to their existing
team members. You can avail our placement services
once you join the program and you would be eligible
for lifetime placement assistance.
Alumni speak
Career cell
“ “
““
Some of our placement partners include:
Reliance Securites, Emkay, Edelweiss, NCDEX,
Greenland Investment Management Motilal Oswal,
Phillip Capital and many other.
To know more on placement services visit
quantinsti.com/quant-jobs/
EPATTM proved to be very beneficial for me, equipping me
to understand broker requirements, trading techniques,
strategies built under the ‘high-frequency’ domain and
more. The programme stresses on risk management of
algorithmic trading, which is a very important aspect for
exchanges and regulators.
siDDhartha saMartha Associate, Edelweiss Financial Services
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Classes were concise & to the point & varied example from
real life has been illustrated in commendable manner. I
got good insight into Algo-trading stuff & would like to
get back to respective mentors for consultation as &
when required.
aMaN kuMar saxeNa
Manager Quants HSBC Global Banking and Markets, India
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Our users around the world
Alumni across top companies including
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1. ABN Amro
2. Anand Rathi Commodities
3. Algowire Technologies Private Limited
4. Alpha Six Capital
5. Angel Broking
6. Asit Mehta Investment
7. Axis Bank
8. Bank of America
9. Barclays
10. BNP Paribas
11. Bombay Stock Exchange
12. Centro De Investigaciones Inmobiliarias
13. China Security
14. Citibank
15. CitiCorp
16. CME Group
17. Credit Suisse
18. Crimson Financial Services Ltd
19. Deloitte
20. Deutsche Bank
21. Edelweiss Finance Limited
22. Federal Bank
23. Fortinet Technology
24. Golden Compass
25. Goldman Sachs
26. GPSK Investment Group
27. HCL Technologies
28. HDFC Securities
29. HSBC
30. IBM
31. ICICI Bank
32. ICICI Securities
33. JP Morgan
34. JP Morgan Chase
35. Kasikom Asset Management
36. Kotak Securities
37. Marwadi Group
38. Merrill Lynch
39. Merrill Lynch Commodities
40. Michelin India
41. Morgan Stanley
42. Multiplex
43. NCDEX
44. Nirmal Bang
45. Nomura
46. NSE IT
47. Oracle
48. Philip Capital
49. PRB securities
50. Pro Alpha Advisors
51. Quant One Technologies
52. QuantX technologies
53. RBT Algo Systems
54. Reliance Communications
55. Royal Bank of Scotland
56. Sandisk
57. Singapore Exchange (SGX)
58. Sigma Value
59. Sharekhan Limited
60. SMC Globals
61. Tata Consultancy Services
62. Tech Mahindra
63. Theoria Capital Management
64. Thomson Reuters
65. UBS
66. UD trading, Hong Kong
67. Way to Wealth
68. Wipro Technologies
69. World Bank
Suneeth is an expert in the fie-
ld of evolutionary algorithms
& unconventional models of
co-mputing. His work has been presented at ‘Symposium of
Unconventional Models of Computing’. Suneeth brings with
him a very high quality of technical expertise, especially in
the fields of algorithms and high performance architecture.
Prior experience – LimeLabs, Yahoo R&D, Xilinx.
Sameer leads the core technology
and machine learning research at
iRage. He is passionate about driving
the core technology in setting new benchmarks in tick-to-
trade latency. He is involved with designing trading models
using deep learning research harnessing the temporal and
spatial nature of market microstructure concurrently.
Swati leads the corporate sal-
es at QuantInsti®. She has a rich
experience in sales, marketing and operations, which has
immensely helped in scaling QI’s operations in the early
years. Swati has previously worked with Times Group’s
e-commerce division where she was responsible for
developing and nurturing corporate relationships.
SAMEER KUMAR
SUNEETH REDDY
Master’s in Economics &Information Systems(BITS Pilani)
B.Tech, Computer Engineering (IIT Madras)
SWATI GOYAL
Post Graduate Diploma,Management – AmityBusiness School, Noida
Core teamQuantInsti® was founded by iRageCapital and a team of Algorithmic Traders and domain experts dedicated to
providing practical knowledge to professionals interested in Algorithmic Trading. The team comprises of highly
qualified professionals from top technology and finance colleges in Asia, Europe, USA, Canada and Singapore.
iRageCapital is one of the pioneers in the field of High-Frequency Trading in certain prominent geographies in Asia.
Gaurav leads the quantitative trading development at iRage
along with the overall clientele business. He also leads
on the Systems, Performance and Strategy Development
including trading systems development, latency reduction
& optimization. Prior to iRageCapital, Gaurav worked with
Axis Bank as a Forex-Interest Rates Derivatives Trader.
Nitesh has a rich experience in financial markets spanning
across various asset classes in different roles. Prior to
leading QuantInsti® as its CEO, he was the business lead
for iRage. He has prior experience in bank treasury (FX &
Interest rate domain) and as a lead trader in a proprietary
trading desk.
Anupriya is a director at QuantInsti® handling content
development and service delivery activities. She has
a rich managerial as well as pedagogical experience
and has been responsible for coming up with new
courses as well as new business initiatives. Anupriya has
worked for Educational Initiatives Pvt. Ltd. and Citigroup.
GAURAV RAIZADA
B.Tech, Chemical Engineering (IIT Kanpur)
PGDM – IIM Lucknow
ANUPRIYA GUPTA NITESH KHANDELWAL
B.Tech, Electrical Engineering (IIT Kanpur)
Master’s in Science (Integrated, 5 years),Mathematics (IIT Kanpur) PGDM – IIM Lucknow
Master’s in Education, TISS
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Rajib leads the prop trading business for iRage as its CEO,
focussing on strategy development, risk management
and internal processes. He is also a regular speaker on
algorithmic trading conferences in Asia, America & Europe
Prior experiences – quant research (Bloomberg, NY); high
frequency trading (Optiver, Amsterdam); data analytics
technology (Oracle); business strategy for an investment
firm & derivatives exchanges (PwC). Represented India
at World Puzzle Championship thrice. Finalist at Indian
National Biology Olympiad.
Vivek is the Director at Kredent Enterprises, which is one
of the strategic investors in various iRage group initiatives.
He has been a trader himself & manages 200+, traders
trading multiple assets. He is part of various committees
of exchanges & regulator and has been an active
contributor in the evolution of Indian Derivatives Market.
As an educationalist, he manages a training academy called
Kredent Academy. He is a speaker in various colleges and
higher institutions including IIT & IIMs.
Shaurya focuses extensively
on statistical research & strategy
development. In his previous roles, his focus areas had
been Derivatives & Quantitative Research with focus on
Sell-Side Order Execution Algorithms. Prior to iRageCapital,
Shaurya worked at Bank of America, Edelweiss Securities
Ltd. & Systematix Stock & Shares Ltd., where he worked
as Derivative and Quantitative Analyst focused on Indian
Equity markets.
RAJIB RANJAN BORAH
B.E. Computer Engg;PGDM – IIM CalcuttaBachelors in ComputerEngineering – NIT, Surathkal
VIVEK BAJAJ
Chartered Accountant & Company Secretary
PGDM – IIM Indore
National Olympiad Finalist Represented India -WorldPuzzle Championship
SHAURYA CHANDRA
B.Tech ElectricalEngineering (IIT Roorkee)
PGDM – IIM Ahmedabad
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At iRage, Anil manages multiple trading strategies and then
also designed firm-wide risk and compliance practices. Anil
has successfully developed and led the scalable Quantitative
Strategy development for the fund operations. Prior to
iRage, Anil had worked as an independent commodities
trader, managing a portfolio of metals and energy products
and as a senior Analyst at The Chatterjee Group’s (TCG)
Private Equity fund and as Convertible Analyst at Lehman
Brothers.
B.Tech, MechanicalEngineering (IIT Kanpur)
PGDM – IIM Lucknow
ANIL YADAV
1. Workshop with Thomson Reuters on Algorithmic and High-Frequency Trading, Mumbai, 2011 I 2. 4th Princeton-UChicago Quant Trading Conference, Chicago, 2013 I 3. HFT Panel discussion at India FIX Conference, Mumbai, 2013 I 4. 4th Annual Conference on Behavioural Models; Sentiment Analysis Applied to Finance, London, 2014 I 5. Management Development Programs (MDP) in Algorithmic Trading, for National Stock Exchange, Mumbai, 2015 I 6. Market Microstructure, Liquidity and Automated Trading Workshop by Fitch Learning, London 2014 I 7. QuantInsti® invited at the workshop organized by Stock Exchange of Thailand (SET), Thailand Futures Exchange (TFEX) and Thailand Securities Institute (TSI), Bangkok, 2014 I 8. The Bursa Malaysia Derivatives Workshop, Kuala Lumpur, 2015 I 9. QuantInsti® invited at the Trading Show in Chicago, 2015 I 10. Market Microstructure & Algorithmic Trading Workshop, Hong Kong, 2018.
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Register yourself for upcoming informative webinars at www.quantinsti.com/webinars
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QuantInsti Quantitative Learning Pvt. Ltd. India A-309, Boomerang, Chandivali Farm Road, Powai, Mumbai, India - 400072 Contact: +91-22- 61691400, +91 9920448877
Website: www.quantinsti.com Email: [email protected]
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