Researcher (Data Analysis)

5 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. 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. Perform additional duties as required in a fast-paced, high-performance environment. 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. Experience deploying statistical or machine learning models in a live trading environment. Experience working with large-scale datasets and real-time market data frameworks.

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