AI Quantitative Engineer/ Architect

Mangal Keshav Financial Services LLP, India's oldest stock broking company established in 1939, is embarking on a cutting-edge AI-driven hedge fund initiative. We are seeking a visionary AI Quantitative Engineer/ Architect to join as a Co-Founder/ Equity Partner in a new vertical that will be structured as a separate company.

This role will work closely with the Chief Investment Officer (CIO), Mr. Chintan Bhagat, who has over 15+ years of hands-on experience in trading and developing strategies across global markets. While the CIO will lead on strategy conceptualization and decision-making, the selected candidate will be responsible for architecting, developing, backtesting, and implementing these strategies into production.

You will play a pivotal role in designing a next-generation AI-native fund architecture from scratch, managing deployment across global markets, and trading multiple asset classes (Equities, Derivatives, Commodities, FX, etc.). The fund will be capitalized with an initial corpus of USD 20 million and has an ambitious vision for scaling.

This is an entrepreneurial leadership position designed for an individual who wishes to build, own, and grow alongside the success of the fund, not merely execute tasks. You will collaborate with the CIO to build and scale a global trading fund, with the agility of a start-up and the credibility of an 85+ years old financial powerhouse.

Key Responsibilities:

• Architect and develop AI/ML models for derivatives trading strategies (Options, Futures).
• Apply Reinforcement Learning frameworks for live market trading.
• Utilize PyTorch extensively in model development, optimization, and deployment.
• Lead system architecture, ensuring scalable real-time trading environments across Linux-based AWS cloud infrastructure.
• Read, understand, and implement API documentation for integrating data feeds (live & historical) from global vendors.
• Work on QuantConnect API integrations for both live trading and backtesting environments.
• Ensure deployed strategies are adaptable across NSE, BSE, CME, NYSE, CBOE, and other global exchanges.
• Collaborate directly with the CIO on fund structure, and scaling operations.
• Manage the complete lifecycle of model development — from backtesting to live deployment.
• Build a technology-first culture and lead future engineering hires.
• Contribute to the entrepreneurial journey, including strategic decision-making and business growth.
• You will have the freedom to architect the entire system from scratch to create a truly AI-native fund.

Qualification parameters:

• Minimum 7 years of hands-on experience in proprietary trading desks or hedge funds internationally with firms such as Jane Street, Renaissance Technologies, Citadel, Two Sigma, D.E. Shaw, Millennium Management, or equivalent.
• Experience of working in international markets of New York, London, Singapore, etc.
• Proficient in Python programming, with production-level coding experience.
• Extensive hands-on experience with PyTorch for model building, fine-tuning, and deployment (this is non-negotiable and will be assessed thoroughly).
• Solid understanding of Machine Learning (ML) and Reinforcement Learning (RL) applied in trading environments.
• Familiarity with Linux server environments and deploying applications on AWS infrastructure.
• Ability to work with API documentation for data integration and real-time feeds.
• Entrepreneurial mindset willing to join on a profit-sharing/ partnership model.

Preferred qualification parameters:

• Prior experience with QuantConnect or similar backtesting/live trading platforms.
• Prior experience working with cross-border teams (India and UAE) is advantageous.

While we understand that not every candidate may tick every single box, preference will be given to those who cover a majority of these requirements.

Compensation:

This is a Co-Founder / Equity Partner opportunity with a profit-sharing structure. We are looking for an entrepreneurial leader who aspires to own and grow alongside the success of the fund. Compensation will be aligned to fund performance, equity stake, and milestone achievements.

This role offers an equity stake/profit-sharing opportunity in the newly established fund entity that will develop as a separate company from Mangal Keshav Financial Services LLP. The equity stake will be specific to this vertical and does not constitute ownership in the parent group or its existing businesses.

Location:

Full-Time | On-site | Dubai, U.A.E.