Quantitative Trader

Role - Quantitative Trader Location: Gurgaon (On-site)

About the company We are a high-performance proprietary trading firm focused on building systematic, data-driven trading strategies across global markets.

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, back test, 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 ● 5–8 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 back testing 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

Apply at Megha@hirojet.com