Quantitative Researcher

Quantitative Researcher | Trading Team – Bangalore

Minix Meril Group

Minix Meril is committed to world-class research grounded in deep scientific rigor. We empower exceptional minds in Mathematics, Physics, Engineering, and Computer Science to explore the edges of what’s possible — and then push beyond them. Our culture thrives on innovation: fearless experimentation, creative exploration, intellectual honesty, and a competitive spark that never dims.

Our trading teams bring together traders, quantitative researchers, and engineers who study global markets with almost scientific devotion. Using exquisite statistical analysis and data-mining craftsmanship, they decode market behaviors and build predictive trading models that deliver measurable edge.

As we expand in Bangalore, India , Minix Meril is strengthening its capabilities across Trading, Technology, and Operations. This is a start-up-style environment powered by global resources — fast, focused, and full of possibility.

What You’ll Do

• Gather and analyze global financial market data to identify hidden patterns and structural behaviors.
• Apply advanced statistical analysis and data-mining techniques to build forecasts and develop profitable predictive trading models.
• Collaborate closely with traders, engineers, and researchers to design, refine, and optimize trading strategies.
• Partner with technology and business teams to support cutting-edge electronic trading initiatives.
• Contribute to continuous innovation and evolution of research capabilities.
• Perform additional duties as required in a fast-paced, high-performance environment.

Skills You’ll Need

• A creative, driven, self-motivated problem solver who enjoys tackling complex challenges.
• Strong programming skills in C++ and Python within a Linux ecosystem.
• Familiarity with Python, R, or MATLAB , with the ability to build research-centric tools and frameworks.
• Strong grounding in forecasting, modeling, and data-mining methods — including regression (linear & non-linear), neural networks, support vector machines, or related ML techniques.
• Passion for advancing machine learning applications within trading and market prediction.
• Masters or PhD in Statistics, Mathematics, Physics, Engineering , or a related quantitative field.
• Willingness to thrive in a collaborative, team-centric culture.
• Reliable and predictable availability.

Good to Have

• Demonstrated success designing or implementing profitable trading strategies.
• Experience deploying statistical or machine learning models in a live trading environment.
• Experience working with large-scale datasets and real-time market data frameworks.
• Strong research publications or past contributions in quantitative modeling.