Quantitative Researcher

4 days ago

bangalore, India Meril Full time

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.

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