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Director, Trading, Quantitative, Cross-asset (Crypto, FX, Equities...

Location:
Singapore, Central Singapore Community Development
Posted:
February 22, 2024

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Resume:

Anshul Dang

: (+**) ******** (Singapore PR) : ad3ukb@r.postjobfree.com

Career Summary 15+ Years

Quantitative investment management professional with over 15 years of experience in Client Management, Team building & Management, Portfolio Management, Algorithmic Trading, Risk Management and Technology. Specializing in leading teams and generating revenue through portfolio construction, strategy modelling and risk analysis using quantitative and machine learning techniques. Designed, developed, validated and executed consistent fully automated profitable trading strategies and portfolios across multiple asset classes and different time frames. Key Strengths:

Managing and leading cross-functional Quantitative and Systematic Trading departments across different asset classes comprising Data Scientists, Quantitative Traders & Developers

Ideating, developing and deploying independent systematic cross-asset class trading algorithms across Crypto (DeFi / CeFi / TradFi), FX, Equities, Commodities and Fixed Income portfolios

Creating orthogonal Trading models using Quantitative [Time Series Analysis, Signal Processing, Stochastic Calculus] & Machine Learning [Supervised Learning, Clustering, Neural Networks, Genetic Algorithms] techniques

Managing live execution of portfolios [Listed products, OTC FX, OTC Swaps, OTC Energy] and simultaneously optimizing P&L performance through benchmarking and slippage analysis

Leading global teams of varying sizes in different domains, ranging from Arbitrage & Basis Trading to Mid-Frequency Trading to Technology & Risk Management

Constructing Backtesting Engines, Data Handlers, Risk Management and Optimization tools in R, Python, C++ and C# Professional Experience

Principal, Trading (Director) Gemini, Singapore 07/2023 – Present

Led the APAC Trading team for Gemini OTC, handling both internal and external flows across spot, futures, forwards and options

Created a fully functional framework for Crypto Trading and backtesting (incorporating Options, Futures, Forwards and Spot)

Spearheaded expansion of Gemini OTC business among institutional clients in collaboration with the sales team

Represented Gemini by speaking at various leading Digital Asset Events such as India Blockchain Week & FISD Singapore Director, Co-Founder RiDeFi Pte Ltd, Singapore 11/2022 – Present

Co-founded the business encompassing Tokenization and Risk Management of short-term Real World Assets on blockchain

Structured the end-to-end process flow including sourcing, tokenization, risk optimization, deep learning and market making Head of Quantitative Trading – Crypto Fund and Bots SGL(Private Fund), Singapore/Philippines 08/2021 – 09/2022

Led the Quantitative Trading division (team of 10 comprising Data Scientists, Quantitative Traders and Quantitative developers) managing the development of Automated Trading Algorithmic Bots and Quantitative Fund strategies

Restructured the strategy portfolio and improved the Quantitative team’s performance by 100% in the first year. (Q2 2022 +26.24%)

Spearheaded expansion of the Quantitative Trading division to multiple exchanges through varied Alphas [Long-Short, Mean Reversion, Arbitrage, Basis, On-chain analytics, Trend Following, Signal Processing, Time Series]

Managed external counterparties and clients for setting up the Private BVI Fund (Fund Management, Audit & Onboarding) Senior Trader – FTG (Quantitative Trading) Cargill, Singapore 05/2019 – 04/2021

Created independent automated cross-asset class (FX, Interest Rates, Index Futures) strategies which achieved a live portfolio Sharpe greater than 2.3

Optimized portfolio allocation and managed the rebalancing of live trading models through benchmarking & performance analysis

Spearheaded end to end execution of the team’s trading book including FX (OTC and exchange traded), Interest Rate Swaps (OTC), Fixed Income (exchange traded) and Equity Futures (exchange traded) via multiple execution platforms

Mentored junior traders as part of the Cargill Mentorship program

Published daily newsletter incorporating daily portfolio performance, contextualising it with Market events and simultaneously managed communication with global stakeholders

Assistant Vice President – Quantitative Trading Alphagrep, Singapore 07/2017 – 05/2019

Developed systematic cross-asset class strategies for Mid Frequency Trading which achieved a live portfolio Sharpe greater than 2.5

Designed, developed, coded and tested a fully functional framework for strategy development and optimization in C++

Collaborated to manage the mid-frequency trading book for one of the biggest teams in the firm

Managed portfolio allocation and optimized the rebalancing of live trading models through benchmarking and performance analysis

(using Machine Learning & Quantitative Techniques)

Generated alphas (Time series Analysis, Signal Processing) for Long-Short market neutral strategies Senior Quantitative Trader Mandara Capital, Singapore 04/2016 – 07/2017

Constructed Quantitative and Machine Learning algorithms for trading products across the Energy domain (Oil, Gasoline, Gasoil, Fuel Oil, Naphtha, Jet, Crack Spreads) on both OTC and exchange traded products

Developed arbitrage strategies for Asian hours and managed their execution from Singapore Office (TOCOM, ICE, DGX, CME)

Created automated alpha generation model for OTC Energy and Freight products in R Associate Director EIS Global Pte Ltd, Singapore 08/2014 – 03/2016

Managed the development and execution of a portfolio of arbitrage strategies across FX, Commodities (Metals and Energy) and Fixed Income derivatives (China, Hong Kong, India, Japan, Taiwan, US, Australia, UK, Singapore markets)

Created systematic quantitative trading models and algorithmically implemented them on Bloomberg EMSX platform, Python, FIX and C++

Managed the monthly P&L generation, portfolio rebalancing and risk optimization for the trading team in Singapore

Generated a 20% net return on total margin equity of 2 million USD (Team return was 21% on total equity of 8 - 10 million USD) Quantitative Arbitrage Trader & IT Head HTG Capital Pte Ltd, Singapore 02/2011 – 07/2014

Created and executed quantitative machine-driven arbitrage and basis strategies among various commodities and FX products

Developed extensive automated trading algorithms for various arbitrage strategies using Trading Technologies’s ADL tool

Managed the development of cross index trade analysis and valuation tool with and external technology consulting firm in India

Successfully developed trade reconciliation, P&L generation and exposure calculation tools for arbitrage strategies of precious metals futures. (using C# .Net and VBA)

Gained domain knowledge of market making and liquidity aggregation across different exchanges globally

Spearheaded the management of entire technological infrastructure of all Asian offices ensuring their robustness and flexibility Algorithmic Trader Saxon Capital Singapore Pte Ltd, Singapore 08/2008 – 12/2010

Created quantitative automated models (using an in-house C# trading environment) to trade on various money market exchanges

Developed an understanding of algorithmic model development, risk management and portfolio optimization based on technical analysis and other quantitative techniques (Time Series Analysis, Chaos Theory, Statistical Optimization)

Worked on the design and development of fully automated independent Algorithmic Execution Systems using machine learning techniques such as Neural Networks and Genetic Algorithms. Education

Master of Science (Financial Engineering) National University of Singapore, Singapore 07/2012 – 06/2014 Course Highlights: Rigorous degree completed part time including courses such as Derivatives and Fixed Income, Stochastic Calculus and Quantitative Methods, Risk Analysis & Management, Corporate Finance, Portfolio Theory & Investments, Financial Econometrics Bachelor of Engineering (Computer Engineering) National University of Singapore, Singapore 08/2004 – 06/2008 Course Highlights: Corporate Finance, Financial Accounting, Operations Management, Neural Networks, Enterprise Development Technical Skills

Software MS Office (Advanced), Bloomberg(Advanced), Reuters (Advanced), X_Trader (Advanced), Matlab (Intermediate) Languages C#(Advanced), C++(Advanced), VBA (Intermediate), SQL(Intermediate), Python(Advanced), R (Advanced), Java (Basic) Honours & Achievements

2023 IBW, India Panel on Institutional Adoption of Digital Assets at India Blockchain Week 2023 2023 FISD, Singapore Panel on Institutional Data Infrastructure for Digital Assets hosted by FISD & LSEG Singapore 2021 University of California,

Irvine Course

Completed Cryptography and Hashing course by University of California, Irvine on Coursera 2021 University of California,

Irvine Course

Completed Merkle Trees & Cryptography course by University of California, Irvine on Coursera 2021 University of California,

Irvine Course

Completed Blockchain course by University of California, Irvine on Coursera 2018 NUS Course Completed Entrepreneurial Marketing Course by National University of Singapore 2018 FX Hive Conference Chief Storyteller at FX Macro Trends Roundtable 2016 Stanford Course Completed Machine Learning course by Stanford University on Coursera 2013 Princeton Executive

Education Course

Attended the intensive summer session on Portfolio Management, Asset Allocation and Behavioural Finance at Bendheim Center For Finance at Princeton University. 2011 Nokia Declared Nokia Qt Ambassador for contributions towards development of Nokia’s Qt ecosystem 2006 P&G Finance Challenge One of the top five winners of the challenge held in Singapore and Bangkok in which approximately one thousand tertiary students took part

2006 Citigroup Private Bank Worked as a summer intern with the team developing online trading platform for Indian Equity markets 2004 St. Joseph’s Academy One of top 0.5% students in India. Secured overall score of 97.25% with 100% in Maths and Computers



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