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.

buy-side research and engineering position

Role overview

full ownership

• 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.