👋🏻 Bio
active 4 weeks ago
Actively looking
Quantitative investment management professional with over 14 years of experience in Client Management, Team building & Management, Portfolio Management, Algorithmic Trading, Financial Engineering, 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:
ď‚· Managing and leading cross-functional Quantitative and Systematic Trading departments across different asset classes comprising Data Scientists, Quantitative Traders & Developers
ď‚· Ideating, developing and deploying independent systematic cross-asset class trading algorithms across Crypto (DeFi / CeFi / TradFi),
FX, Equities, Commodities and Fixed Income portfolios
ď‚· Creating orthogonal Trading models using Quantitative [Time Series Analysis, Signal Processing, Stochastic Calculus] & Machine Learning [Supervised Learning, Clustering, Neural Networks, Genetic Algorithms] techniques
ď‚· Managing live execution of portfolios [Listed products, OTC FX, OTC Swaps, OTC Energy] and simultaneously optimizing P&L performance through benchmarking and slippage analysis
ď‚· Leading global teams of varying sizes in different domains, ranging from Arbitrage & Basis Trading to Mid-Frequency Trading to Technology & Risk Management
ď‚· Constructing Backtesting Engines, Data Handlers, Risk Management and Optimization tools in R, Python, C++ and C#
Current Location: Singapore
Languages: English, Hindi
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:
ď‚· Managing and leading cross-functional Quantitative and Systematic Trading departments across different asset classes comprising Data Scientists, Quantitative Traders & Developers
ď‚· Ideating, developing and deploying independent systematic cross-asset class trading algorithms across Crypto (DeFi / CeFi / TradFi),
FX, Equities, Commodities and Fixed Income portfolios
ď‚· Creating orthogonal Trading models using Quantitative [Time Series Analysis, Signal Processing, Stochastic Calculus] & Machine Learning [Supervised Learning, Clustering, Neural Networks, Genetic Algorithms] techniques
ď‚· Managing live execution of portfolios [Listed products, OTC FX, OTC Swaps, OTC Energy] and simultaneously optimizing P&L performance through benchmarking and slippage analysis
ď‚· Leading global teams of varying sizes in different domains, ranging from Arbitrage & Basis Trading to Mid-Frequency Trading to Technology & Risk Management
ď‚· Constructing Backtesting Engines, Data Handlers, Risk Management and Optimization tools in R, Python, C++ and C#
Skills:
Quantitative Research And Trading
Team Management
Financial Engineering
Structuring
Portfolio Management
C++
đź’ĽÂ Experience
Director, Principal, Trading (Head of APAC Trading)
Gemini
Python
Quantitative Analysis
Business Development
Otc Trading
AI
ď‚· Led the APAC Trading team for Gemini OTC, handling both internal and external flows across spot, futures, forwards and options
ď‚· Implemented strategies resulting in a P&L performance improvement of approximately 100% on a quarterly basis
ď‚· Created a versatile framework for Crypto Trading and backtesting, seamlessly integrating Options, Futures, Forwards, and Spot data
ď‚· Spearheaded expansion of Gemini OTC business among institutional clients in collaboration with the sales team
ď‚· Represented Gemini by speaking at various leading Digital Asset Events such as India Blockchain Week & FISD Singapore
ď‚· Implemented strategies resulting in a P&L performance improvement of approximately 100% on a quarterly basis
ď‚· Created a versatile framework for Crypto Trading and backtesting, seamlessly integrating Options, Futures, Forwards, and Spot data
ď‚· Spearheaded expansion of Gemini OTC business among institutional clients in collaboration with the sales team
ď‚· Represented Gemini by speaking at various leading Digital Asset Events such as India Blockchain Week & FISD Singapore
Head of Quantitative Trading – Crypto Fund and Bots
SGL(Private Fund)
Python
Cloud Computing
Data Analytics
Machine Learning
Management
ď‚· 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%)
ď‚· 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]
ď‚· Managed external counterparties and clients for setting up the Private BVI Fund (Fund Management, Audit & Onboarding)
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%)
ď‚· 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]
ď‚· Managed external counterparties and clients for setting up the Private BVI Fund (Fund Management, Audit & Onboarding)
Senior Trader – FTG (Quantitative Trading)
Cargill
Data Analytics
Machine Learning
Growth
Project Management
Process Improvement
ď‚· Created independent automated cross-asset class (FX, Interest Rates, Index Futures) strategies which achieved a live portfolio Sharpe
greater than 2.3
ď‚· 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
ď‚· Mentored junior traders as part of the Cargill Mentorship program
ď‚· Published daily newsletter incorporating daily portfolio performance, contextualising it with Market events and simultaneously
managed communication with global stakeholders
greater than 2.3
ď‚· 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
ď‚· Mentored junior traders as part of the Cargill Mentorship program
ď‚· 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
C++
Data Analytics
Machine Learning
Innovation
Problem Solving
ď‚· Developed systematic cross-asset class strategies for Mid Frequency Trading which achieved a live portfolio Sharpe greater than 2.5
ď‚· Designed, developed, coded and tested a fully functional framework for strategy development and optimization in C++
ď‚· Collaborated to manage the mid-frequency trading book for one of the biggest teams in the firm
ď‚· Managed portfolio allocation and optimized the rebalancing of live trading models through benchmarking and performance analysis
(using Machine Learning & Quantitative Techniques)
ď‚· Generated alphas (Time series Analysis, Signal Processing) for Long-Short market neutral strategies
ď‚· Designed, developed, coded and tested a fully functional framework for strategy development and optimization in C++
ď‚· Collaborated to manage the mid-frequency trading book for one of the biggest teams in the firm
ď‚· Managed portfolio allocation and optimized the rebalancing of live trading models through benchmarking and performance analysis
(using Machine Learning & Quantitative Techniques)
ď‚· Generated alphas (Time series Analysis, Signal Processing) for Long-Short market neutral strategies
🎓 Education & Certificates
Master’s Degree, Financial Engineering
By National University of Singaproe
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