Senior Quantitative Researcher

Job Description

Our client, an investment firm, is looking to expand its systematic strategies platform and is hiring a Senior Quantitative Researcher in Bangalore, India. Key Responsibilities: Quantitative Research & Model Development: Design, build, and enhance statistical and machine learning models to forecast market behavior and identify trading opportunities. Advanced Data Analytics: Extract insights from large-scale historical and alternative datasets to develop predictive signals and evaluate strategy performance. Strategy Design & Deployment: Partner with trading and engineering teams to backtest strategies using proprietary platforms and support live deployment in production environments. Algorithmic Optimization: Continuously refine models and algorithms to improve execution efficiency, predictive accuracy, and robustness across various market conditions. Risk & Scalability Assessment: Conduct thorough risk evaluations of models and strategies, including stress testing and analysis of scalability constraints. Tooling & Infrastructure: Develop and maintain research tools and dashboards to support simulation, visualization, and performance tracking of trading strategies. Cross-functional Collaboration: Engage closely with developers, traders, and portfolio managers to align research goals with business objectives and ensure successful strategy implementation. Key Requirements 5+ years of hands-on quantitative research experience with a proven record of live deployment. Hold a Bachelors, Masters, or PhD in Mathematics, Statistics, Physics, Computer Science, Engineering, or Financial Engineering from a top-tier institute. Proficient in programming languages like Python, R, or C++. Experience in Indian Markets and MFT. Experience with MFT strategies in Delta 1 and Options, particularly arbitrage or market making.