Role Overview
We are looking for a Senior Quant Trader with 5–8 years of experience and a proven track
record in developing and deploying systematic trading strategies. The ideal candidate will have
strong expertise in alpha generation, statistical modeling, and risk management across asset
classes such as equities, derivatives, crypto, or global macro markets.
Key Responsibilities
Develop, backtest, and deploy quantitative trading strategies
Generate consistent alpha using statistical and machine learning models
Conduct rigorous data analysis and research on market inefficiencies
Optimize execution strategies and minimize slippage
Build and implement robust risk management frameworks
Collaborate with tech and research teams to enhance trading infrastructure
Monitor live strategies and continuously refine performance
Required Qualifications
1–8 years of experience in proprietary trading, hedge funds, or quant-driven environments
Strong programming skills in Python, C++, or similar languages
Deep understanding of probability, statistics, time-series analysis, and financial mathematics
Experience with backtesting frameworks and trading systems
Strong knowledge of derivatives, market microstructure, and execution strategies
Demonstrated track record of profitable strategies
Preferred Skills
Experience in high-frequency or mid-frequency trading
Familiarity with machine learning techniques
Strong portfolio construction and capital allocation experience
Ability to thrive in a fast-paced, performance-driven environment
What We Offer
Significant capital allocation based on performance
Early member of the company
Competitive PnL-linked compensation structure
Direct exposure to leadership
Opportunity to build and scale strategies with ownership