Portfolio Manager / Quant Trader (HFT / MFT)

Founded: 2023

Team Size: 100 - 120

Experience: 3-5+ Years

Job Location: Delhi / Mumbai / Bangalore / Gujarat

Job Description - Portfolio Manager

About the Role

We are looking for a dynamic and results-driven Portfolio Manager to lead and manage proprietary trading strategies across Futures / Options / Equities / Commodities / Cash. The ideal candidate has a proven track record of generating alpha, managing risk, and collaborating with cross-functional teams to scale capital deployment and infrastructure.

This is a high-impact role for a candidate who can blend data-driven insight with market

intuition, adapt to fast-changing environments, and take full ownership of their portfolio.

Key Responsibilities

• Develop and execute trading strategies across Futures / Options / Equities / Commodities / Cash.
• Utilize fundamental, quantitative, and/or systematic approaches to identify trading opportunities.
• Drive alpha generation while maintaining strict discipline on risk and exposure.
• Monitor market dynamics and macro/micro events to adjust strategy in real-time.
• Collaborate with quants, data scientists, and engineers to refine models and tools.
• Contribute to portfolio construction, optimization, and capital allocation decisions.
• Establish risk controls, performance metrics, and operational checks for your strategies.
• Maintain research pipelines to explore new signals, assets, and markets.

Qualifications

• 5+ years of hands-on trading or portfolio management experience in one or more areas: Options / Long-Short / Equities / Commodities.
• Proven track record of generating consistent risk-adjusted returns.
• Degree in a quantitative, financial, or technical field (e.g., Statistics, Computer Science, Economics, Engineering).
• Proficiency in Python (required); experience with C++ is a plus.
• Deep understanding of market microstructure, execution, and trading platforms.
• Experience with systematic and/or discretionary models across intraday to multi-day horizons.
• Strong analytical mindset and ability to handle large, noisy datasets.
• Excellent communication skills and ability to work collaboratively in a fast-paced environment.
• Professional integrity and a strong network in the trading/investment community.

Preferred (Not Mandatory)

• Experience at a hedge fund, proprietary trading firm, or asset manager.
• Familiarity with risk modelling, portfolio analytics, and performance attribution.
• Prior exposure to Black-Litterman, factor models, or statistical arbitrage.
• Strong references and a positive market reputation.