OPENING THE DOORS TO MANAGE COMPLEX FINANCIAL EVENTS, RISK AND VOLATILITY
WHO ARE WE
FOCUS ON THE FUTURE QuantInsti's 'Executive Programme in Algorithmic Trading'
QuantInsti is India's pioneer Algorithm Trading training institute focused purely on preparing capital market professionals to the emerging field of High-Frequency and Algorithmic Trading. With the capital markets in India rapidly evolving towards the developed markets model, we foresee a disruptive change in the Indian landscape wherein exchange volumes to the tune of 70% and above will be generated by High-Frequency Trading (HFT). To prepare professionals for this impending transition, QuantInsti will provide participants exposure to both the theoretical as well as the practical aspects of HFT.
AN INTER-DISCIPLINARY APPROACH QuantInsti's flagship course is the 'Executive Programme in Algorithmic Trading' which is a comprehensive course covering all important aspects of Algorithmic Trading. Apart from detailed theoretical essons, we provide our course participants in-house proprietary tools and other globally renowned applications in a simulated environment – course participants can design, implement and test their strategies in such environments and build on their learning in the class.
course is designed to provide high-level training for individuals working in, or intending to move into, derivatives, development, quantitative trading or risk management. The program is built around a fully examined core of three modules. The course covers all aspects of the theory and practice of quantitative tools, products, and methods.
EXECUTIVE PROGRAMME IN ALGORITHMIC TRADING
COURSE FLOW Ä
Introduction to Statistics & Quantitative Trading
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High Frequency Statistics & Econometrics
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Derivatives as to be seen by an Algorithmic Trader/Strategist
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Computational Finance for Algorithmic Trading
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Algorithmic Trading & High Frequency Modeling
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World of Algorithmic Trading
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An insight into the Algorithmic Trading Platform Architecture
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Algorithmic Trading Projects
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Algorithmic Trading Research Papers
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Create your own algorithmic trading strategies
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Execution Strategies: Moving beyond VWAP & TWAP
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Learn Back-testing your strategies in the scientific manner as a quant
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Adapting to different asset classes
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Benchmark your Trading System
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Latency Reduction techniques
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Optimizing your strategy code
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Incorporating the “technology arbitrage” (TBT, Colo, etc)
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Being the fastest
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Let the Algorithms trade for you.
FACULTY PROFILE RB THARAKAN Cambridge-Oxford-LSE educated RB Tharakan is the Academy Director of Quant Insti and Co-ordinator of the Flagship Executive Programme in Algorithmic Trading. He is the founding Operations Director for the FinLab for Complex Events Process and is a Researcher on the product group of Hedge Funds. Additionally, he is an Algo Trading Strategist for iRage Capital Advisory. Tharakan started his career at Morgan Stanley in New York as a product specialist in Equity Derivatives: Futures and Options in the role of an Associate for Sales and Trading, further focusing on Multi-Asset Class Quantitative Trading Strategies for Morgan Stanley's specialist brokers. He was employed with JPMorgan's Investment Bank in London for Equity Capital Markets and European Corporate Broking. To note, he executed his first trade at the age of 11 in 1991 in the Indian Cash Equities Market. Tharakan has undertaken some of the most prolifically global apprenticeships with tierone leaders having worked for His Excellency Kofi Annan, Secretary General of the UN Secretariat and Lord Mark Malloch-Brown, the Administrator of the UN Development Programme (UNDP) and Vice-Chairman of Soros Fund Management. Additionally, he had worked for Edward Mortimer, Head of the UN Communications Head and worked on communication project and strategies in partnership with Shashi Tharoor, UN Head for Public Information (DPI).
2005 as, "He speaks length about India, its current situation and its future. Mr. Tharakan's example of enterprise could give courage to other Indian youths at this time when India is entering into a period of demographic advantage".
Earlier to iRageCapital, Shaurya comes with experience at Bank of America, Edelweiss Securities Ltd. and Systematix Stock & Shares Ltd., where he worked as Derivative and Quantitative Analyst focused on Indian Equity markets.
RAJIB RANJAN BORAH
Shaurya has a Post-Graduate Degree in Management from Indian Institute of Management, Ahmedabad and a B.Tech in Electrical Engineering from Indian Institute of Technology, Roorkee.
Rajib is the co-Founder and Director of iRageCapital Advisory Private Limited, where he leads the firm's practice in the field of Strategy development and Systems design. Rajib brings to iRage an extensive experience in capital markets encompassing the entire flow of the business - ranging from analytics, research, trading and tradingrelated technology. Prior to starting iRage, Rajib was an equity derivatives market maker at Optiver, Amsterdam. At Optiver, he also worked on high frequency equity arbitrage strategies. As a primary market maker, and a high frequency trader, he was consistently amongst the highest liquidity providers in equities & equity derivatives in major European exchanges, and in ADRs in US exchanges. Before joining Optiver, Rajib was a strategy consultant for Indian capital markets with PricewaterhouseCoopers in Mumbai. In the past, Rajib has interned with the Equity Derivatives research team at Bloomberg in New York, and with Solutia's strategy division at its European HQ in Belgium. Prior to pursuing his MBA, Rajib was part of the core team which designed the concept of Data Hub at Oracle Corporation - merging & analyzing information from multiple sources.
NITESH KHANDELWAL Nitesh Khandelwal has acquired a wide set of experiences in financial markets spanning across various asset classes in different roles. He co-founded iRageCapital Advisory Private Limited, a trusted name in the space of providing Algorithmic Trading technology and strategy services in India. He leads the business side for iRageCapital and QuantInsti. At QuantInsti, he also heads the department for training in derivatives & intermarket studies. He had prior experience in bank treasury (FX & Interest rate domain) and in proprietary trading desk. He did his Bachelors in Technology in Electrical E ngineering from IIT Kanpur before doing his Post graduation in Management from IIM Lucknow. GAURAV RAIZADA
Gaurav Raizada is a Director at iRageCapital Advisory Private Ltd., leads the firm's advisory practice in India on the Systems, Tharakan holds the record of being the first Performance and Strategies. He has Indian (in 2009) to have been educated at all consulted extensively with core focus on three of the British institutions: the London A national Olympiad finalist, Rajib had strategy development and execution School of Economics (LSE), Cambridge and represented India at the World Puzzle including trading systems development, Oxford Universities. He has completed an Championship. Rajib has a post graduate latency reduction, optimization and MSc in Economic Development from LSE, an degree in management from IIM Calcutta, transaction cost analysis. MPhil/MFin in Finance from the University of and a BE in Computer Engineering from NIT Cambridge, an Advanced Diploma in Surathkal. An area of specific focus for Gaurav has been Computing from the University of Oxford. working with clients in high frequency tradingproprietary desk, brokerages, and banks. His Tharakan has held some of the most prolific SHAURYA CHANDRA current areas of research are High Frequency global positions, which include being the first Econometrics, Structured Products and Indian to have been elected as President of Shaurya Chandra is a Director at Transaction Cost Analysis. the 800-year old Cambridge University's main iRageCapital Advisory Private Ltd., leading Students' Union (2004) and has sat on the firm's advisory practice in India on the Prior to iRageCapital, Gaurav worked with various committee boards of the University Research, Strategies Development and Axis Bank as a Forex-Interest Rates (2004/2005). He was the first Indian to be Reisk Management. He has advised Derivatives Trader. He also worked as a elected as President of the 505-year old extensively with core focus on the statistical Performance Engineer at Veritas Software, Christ's College (2004) and as well as its research strategy development backed by where he was a specialist in Optimization. Welfare and Equalities Officer (2003) for rigorous back testing and setting up systems Gaurav has a post graduate degree in diversity and equal opportunities. & processes for risk management. management from Indian Institute of Management, Lucknow and a B.Tech in Tharakan in his capacity for 'leadership' has An area of specific focus for Shaurya has Chemical Engineering from Indian Institute of been described by the Dr. KM Bowkett, been working with clients in Sell-Side Order Technology, Kanpur. Senior Tutor of the 505-year old Christ's Execution Algorithms for leading brokerages. College and the former Head of Sciences at His current areas of research are Statistical the 570-year old Eton College in a letter to Dr. Strategies and Rule Based Trading and Manmohan Singh, Prime Minister of India in Optimal Execution Algorithms.
FACULTY PROFILE ANIL YADAV
P. SUNEETH REDDY
SAMEER KUMAR
Anil Yadav is a member of the algo strategy advisory team at iRage Capital and is responsible for building and benchmarking strategies for the clients across various asset classes.
Suneeth is an expert in the fields of evolutionary algorithms and unconventional models of computing. During his bachelors program in Computer Science at IIT Madras, Suneeth was involved with some path breaking research in protein computing and DNA computing. His work has been presented at 'Symposium of Unconventional Models of Computing'.
Sameer has graduated from BITS Pilani with a Masters in Economics and Information Systems. He started his career with Yahoo! where he gained expertise in technical architecture, design and development of highly scalable systems.
Prior to iRage, Anil has worked as an independent commodities trader managing a portfolio of metals and energy products. He has also worked as a Senior Analyst at The Chatterjee Group's (TCG) Private Equity fund and as Convertible Analyst at Lehman Brothers. Anil holds a Post-graduate diploma in Management from Indian Institute of Management, Lucknow and B.Tech in Mechanical Engineering from Indian Institute of Technology, Kanpur.
He then went on to work with Yahoo R&D where he designed some really large scalable platforms. He also has two patent applications pending. Prior to iRageCapital, he was with Lime group and played a key role in developing Lime's core infrastructure and platforms. Suneeth holds a highly developed technical expertise especially in the fields of algorithms and high performance architectures.
ADVANTAGE QUANTINSTI High frequency and Algorithmic trading domain is one of the most lucrative career choices in the contemporary financial markets. Introduction of Algorithmic Trading in India in 2008 changed the face of the trading as well as the nature of skill set required to become a successful trader. QuantInsti aims to provide critical competitive edge to its participants through its skillfully designed programs, which not just help them understand the basics but to become a domain expert. After successful completion of the course, participants should be conceptually comfortable with the following: Ø Ø Ø Ø Ø Ø
A C++ and Perl specialist with broad understanding of economics and market dynamics, he now designs and builds financial strategies with built-in intelligence.
Managing High Frequency Data and building econometric models Learn how to back-test, implement and trade advance quantitative strategies Furnish your programming skills to build low latency trading strategies Using statistical packages and integrating them to your trading system Using Option pricing models for running volatility books and make markets Hands on experience with advance algorithmic trading platforms
PRE-APPLICATION STEPS AND REQUIREMENTS Each participant who is accepted on the course has a high level of intellectual curiosity, a strong interest in finance, and strong analytical skills. Although there is no specific degree requirement, most participants will have backgrounds in quantitative disciplines such as mathematics, statistics, the physical sciences, engineering, operations research, computer science, finance, or economics. Master of Business Administration participants should also have familiarity with calculus, spreadsheets and computational problem solving. PRE-COURSE COUNSELING AND INFORMATION SESSIONS Counseling Session: These sessions will extensively be focused on understanding the strengths and weak areas of the participants. These sessions will not decide the participants' eligibility for enrolling for the course but will help the counselors concentrate on the informed guidance for them before they enroll. Information Session: Once the counseling sessions are through the participants will have an Information Session so that they can have a clear idea of what they are going to get out of the course. Similarly any queries or difficulties about the class will be sorted in this session.
OUR ASSOCIATES IRAGECAPITAL ADVISORY PVT. LTD.
KREDENT ACADEMY
QuantInsti is a venture by iRageCapital Advisory – an advisory firm working on a unique concept of assisting proprietary trading firms & institutional desks in setting up and maintaining their algorithmic trading desks.
Kredent Academy is a unique concept where industry professionals have taken the onus of creating a strong knowledge bank. By sharing such real-life professional experience, Kredent Academy aims to provide a very practical mode of imparting training.
iRageCapital provides the complete spectrum of services related to high frequency and algorithmic trading– ranging from setting up the technology infrastructure, designing the systems architecture and helping in designing trading strategies. By providing efficient solutions and within strict time constraints, iRageCapital has built a strong reputation of reliability and impeccability. In view of the rapid changes in this industry, iRageCapital aims to help clients make this unavoidable transition to algorithmic trading and be an early entrant into this potential domain. To achieve this, we not only advise clients on technology, but we also provide strategy advisory services on how to adopt their trading ideas as per high-frequency trading constraints thereby assisting for their continued profitable trading operations in the future. To know more please visit our website at: www.iragecapital.com
CONTACT US: Administrator and Operations Coordinator 812-813, Corporate Avenue, Sonawala Cross lane, Near Udyog Bhavan, Goregaon (East) Mumbai – 400 063. Phone No: +91-22-4272 1700/ +91 9167 270 272
To know more visit: www.kredentacademy.com
