Portfolio Manager

2 days ago

Delhi, Delhi, India Proprietary Trading Firm (Stealth Mode) Full time
Founded: 2023

Team Size: 40-50

Experience: 3- 7+ Years

Job Description - Portfolio Manager – Options / Long-Short / Equities / Commodities

About the Role

We are looking for a dynamic and results-driven Portfolio Manager to lead and manage proprietary trading strategies across Options / Long-Short / Equities / Commodities. 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 Options / Long-Short / Equities / Commodities.
- 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

- 3–7+ 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.

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