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About the role
Quant Engineer – Finquant Investech Pvt Ltd CHENNAI (ON - SITE) | ENTRY LEVEL | FULL TIME COMPANY OVERVIEW: Finquant Investech empowers Finance & Investment Professionals with institutional-grade AI, Data Intelligence, Quantitative Analytics, and Automation Solutions. Our AI Agentic Platform assists fund managers, analysts, wealth managers in equity research, market analysis, Quant strategy development, portfolio monitoring, and algorithmic trading. We will deliver advanced decision-support tools that enhance research efficiency, uncover actionable insights, and support informed investment decisions. WHAT YOU’LL DO: As a Quant Engineer, you will lead the design and execution of our systematic trading desk. You will research, develop, and backtest medium- and low-frequency trading strategies across equities and derivatives, while writing production-grade Python code and WebSocket infrastructure to power our real-time data and automated execution pipelines. Responsibilities: Desk Architecture & Strategy Execution: Build, scale, and operate a systematic Quantitative Trading Desk by integrating advanced data engineering, artificial intelligence, and algorithmic execution capabilities Alpha Generation & Strategy Development: Research, design, backtest, and validate Medium-Frequency (MFT) and Low-Frequency (LFT) trading strategies across equities, futures, and options markets Platform Integration & Deployment: Oversee the end-to-end trading pipeline, seamlessly connecting real-time market data, portfolio construction, paper trading systems, and live automated execution Risk Management & Optimization: Design and implement robust risk management controls and portfolio optimization frameworks to safeguard capital and monitor real-time exposures MANDATORY SKILLS REQUIRED: Bachelor’s or Master’s degree in Engineering, Computer Science, or a related quantitative field 0-3 years of experience Technical & Infrastructure Engineering: High proficiency in Python and hands-on experience in WebSocket development for handling real-time data streaming and live market connectivity Quantitative & Mathematical Modeling: Solid foundation in statistics and probability, with the ability to apply mathematical concepts to data analysis and strategy validation Financial Market Expertise: Deep understanding of financial markets, asset classes, market microstructures, and trading lifecycles (specifically equities, futures, and options) Domain Integration: Proven ability to bridge the gap between complex quantitative research, financial theory, and production-grade software development REMUNERATION: Upto INR 12,00,000 annually (To be discussed with selected candidates based upon the skills, prior experience, interview performance and last drawn remuneration) This role is based in Chennai, only candidates open to relocating or working from Chennai should apply. CLICK HERE TO APPLY
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