Investment Systems & Quant Research Intern

Investment Systems & Quant Research Intern — Aurrevia

Mumbai

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3–6 months

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Work closely with:

Co-founder & CIO, Aurrevia

We are looking for a highly analytical intern from a top-tier engineering/technology institute who has a genuine interest in stock markets, investing, and trading, and wants to work at the intersection of finance, technology, and data.

At Aurrevia, you will work directly with the Co-founder & CIO to build technology-driven systems that support our investment and trading process. This is a hands-on role for someone who enjoys taking an investment idea, converting it into a framework, and then building the underlying system.

What will you work on:

• Building screening and stock-selection systems for listed equities
• Developing quantitative frameworks for value, momentum, quality and market signals
• Automating financial data collection, analysis and monitoring
• Building dashboards and tools for portfolio tracking and risk management
• Developing backtesting frameworks for investment and trading strategies
• Creating alerts and systems to identify opportunities, risks and changes in market behaviour
• Using Python, APIs, databases, and AI/ML tools to improve the investment research workflow
• Working closely with the CIO to translate investment frameworks into scalable technology

What are we looking for:

• Student/recent graduate from a top engineering/technology institute
• Strong interest in stock markets, investing and/or trading
• Strong Python/programming skills
• Comfortable working with data, APIs, and large datasets
• Strong analytical and problem-solving ability
• Understanding of basic financial markets and equity investing
• Curiosity to understand why a strategy works, rather than simply coding it
• Prior experience with trading systems, backtesting, quant projects, Kaggle, personal investing or financial data is a strong plus.

What makes this role different:

You will not be working as a typical intern on a predefined project. You will work closely with the CIO and have the opportunity to help build the investment technology stack and research infrastructure of Aurrevia from the ground up.

The ideal candidate is someone who can say:

“I understand markets, I can code, and I want to build something that actually gets used.”

To Apply:

Please share your CV along with 2–3 lines on one investment/trading/quant project you have built or worked on, including a GitHub/project link if available.