Quantitative Researcher

Quantitative Researcher | Systematic Investment Strategy | Mumbai

A fast-growing, boutique investment platform (AUM ~USD 800M, scaling toward USD 2B) is building its quantitative research capability to support systematic investment strategies with a focus on Indian and global equity markets.

This is not a pure execution or maintenance role. This is a buy-side research and engineering position where you will work directly with the Investment Team to translate investment theory into robust, production-ready code.

Role overview

You will take full ownership of systematic investment infrastructure, including:

• Researching, designing and implementing quantitative models (focus on Long-Term Asset Allocation, Factor Investing, and Risk Management).
• Managing the full lifecycle: from independent idea generation and first-principles research to Python implementation and production deployment.
• Building and maintaining data pipelines, backtesting frameworks and version control (Git).
• Providing portfolio analytics: P&L drivers, return attribution, stress testing and explainability for Portfolio Managers.

What makes this role different

• End-to-end ownership – You are not just coding someone else's ideas. You will research, build, test and deploy.
• Cross-disciplinary thinking – We need someone who understands both finance and engineering, not just one or the other.
• Direct impact – Your work directly influences real capital decisions in a lean, founder-led environment.
• Flat, merit-driven culture – High autonomy, high accountability, and direct collaboration with senior investment leadership.

Ideal candidate profile

• Education: Advanced degree (MS/PhD) in a quantitative domain – Mathematics, Economics, Computer Science, Statistics, or Quantitative Finance.
• Experience: 2–4 years in a quantitative role, ideally buy-side (quant funds, systematic strategies, asset management).
• Domain knowledge: Exposure to quantitative investment frameworks, particularly Momentum and Factor Investing.
• Technical skills: Strong Python programming, experience with data pipelines, backtesting, and statistical modeling.
• DevOps capability: Proficiency in Linux, Docker, CI/CD workflows – you will handle the operational side of the code.
• Research mindset: Demonstrated history of independent research or side projects that show curiosity and depth at the intersection of technology and investing.

What we offer

• Full autonomy in a flat, merit-driven culture where you own the deliverables and outcomes.
• High-impact work that directly shapes investment strategies and capital deployment.
• Competitive compensation – Base salary plus performance-based bonuses.
• Learning culture – Work at the intersection of finance, data science and investment strategy with access to global advisors and institutional resources.

Location & structure

• Base: Mumbai
• Small, focused team with direct access to Portfolio Managers and leadership.
• Opportunity to grow into a foundational technical leadership role as the platform scales.

If you are a quantitative thinker who wants to build systematic investment infrastructure from first principles in a boutique, high-ownership environment, this role offers significant technical and intellectual challenge.