Quant Researcher & Developer - BSFI
Job Description :
We are seeking an exceptionally talented Quantitative Developer to join our core research and development team. You will be instrumental in the entire lifecycle of our investment models-from initial idea generation and data analysis to the implementation and optimization of production-level systems. This is not a trading role; it is a deep, research-oriented position focused on creating and refining long-term, systematic investment strategies using cutting-edge statistical, machine learning and reinforcement learning techniques.
Key Responsibilities :
- Research, design, and implement quantitative models for systematic portfolio construction and asset allocation.
- Machine Learning and statistics applications : Apply statistical optimization techniques, advanced ML, Deep learning, and reinforcement learning to financial dataset to optimize portfolios for alpha generation.
- Data Engineering : Build and maintain robust data pipelines for sourcing, cleaning, and processing structured and unstructured financial data.
- Systematic Implementation : Translate research models into clean, efficient, and robust production-grade code primarily in Python.
- Rigorous back-testing : Develop and manage a rigorous back testing framework to validate model performance, ensuring statistical significance and robustness of alpha generation and portfolio parameters against various market conditions.
- Portfolio Risk Analysis : Continuously monitor and analyze model performance and portfolio risk, contributing to the ongoing refinement of our investment framework.
Preferred Qualifications :
Educational Background : An advanced degree (Masters or PhD) from a top-tier institution in a quantitative field such as Computer Science, Statistics, Economics, or Mathematics.Programming Expertise : Expert-level proficiency in Python and its scientific computing stack (NumPy, Pandas, scikit-learn, PyTorch / TensorFlow).Quantitative Skills : Deep understanding of probability, statistics, optimization, and time-series analysis.Experience : Demonstrable experience applying machine learning and / or reinforcement learning and deploying them at investment firmsProblem-Solving Mindset : A strong foundation in logical reasoning, an ability to think independently and critically, and an intense intellectual curiosity.What We Offer
Industry compensation A highly competitive compensation package, including a significant performance-based bonus structure.The opportunity to work on intellectually stimulating problems at the intersection of AI and finance.Direct impact on the firm's core investment strategies and success from day one.A flat, collaborative, and meritocratic culture free from bureaucracy.(ref : iimjobs.com)