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1 Job openings at marketfeed
Quantitative Analyst

Bengaluru, Karnataka, India

1 years

Not disclosed

On-site

Full Time

📖 Our Story: marketfeed (YC S21) marketfeed is a Y Combinator–funded, seed-stage fintech founded in 2020 by Sharique Samsudheen and Sooraj E . Our automated trading platform helps everyday investors grow wealth through sophisticated yet intuitive strategies. Today we serve 1.5 million+ followers , 400k app users , and manage ₹250 crore+ in traded volume—while compounding 20 %+ MoM growth with a team of 50+ passionate builders. Our next chapter: scaling from weekly positional trades into intraday systems so users capture even more market edge. 🕵️ Who are we looking for? We’re looking for a Quantitative Analyst who will help maintain and enhance our live systematic trading models, design new data-driven strategies, and collaborate closely with senior quants, developers, and traders to deliver robust, scalable research—all from our Bengaluru HQ (hybrid friendly). 🎯 You’re a great fit if you … Have 1-3 years of hands-on quantitative or data-science experience (internships count!). Hold a degree in Engineering, Mathematics, Statistics, Physics, Computer Science, or Finance. Code fluently in Python (pandas, NumPy, back-testing libs) and are comfortable with Git. Love digging into time-series data, running walk-forward tests, and using Monte-Carlo stress checks. Understand the basics of trend following, Sharpe, drawdown, and VaR—or can learn fast. Communicate clearly: you can turn a notebook of stats into a concise, decision-ready summary. Bonus points for … Experience with intraday, positional or swing strategies in BSE/NSE F&O segment. Familiarity with CI/CD, Docker, or Kubernetes in research pipelines. Exposure to risk dashboards or trade-ops tooling. 💻 Your Key Responsibilities Refine Live Strategies You’ll work on refining existing trading strategies to ensure they remain smooth in performance and compliant with internal and external guidelines. Why it matters: Keeps trading efficient and within operational constraints. Sample output: Backtest results fall within the set thresholds. Back-test New Parameter Sets You’ll revisit shelved strategies or indicators, apply fresh parameters, and evaluate their potential. Why it matters: Unlocks value from previous research and accelerates production timelines. Sample output: Turnaround of shelved strategies with improved outcomes and quick push to production. Create Strategies from Shelved Indicators You’ll develop new strategies based on previously explored but unused indicators. Why it matters: Allows for scalable business expansion without reinventing the wheel. Sample output: New strategy specification is successfully pushed to production. Produce Risk & VaR Checks You’ll conduct risk analysis and Value-at-Risk (VaR) assessments on proposed changes. Why it matters: Ensures all changes are within predefined risk guardrails. Sample output: Demonstrated reduction in VaR. Coordinate Sign-off with SQR & DevOps You’ll ensure every new deployment has the appropriate sign-offs for safety and compliance. Why it matters: Enables fast and safe promotion from testing to live environments. Sample output: Approved release ticket. Document Process Improvements You’ll update internal documentation to reflect improved workflows and methodologies. Why it matters: Builds a knowledge base and ensures continuity for future hires. Sample output: Updated pages in the research playbook. 🛠️ Preferred Skills GCP for data pulls Coding: Python proficiency Curiosity about intraday microstructure and latency constraints 🎁 What’s in it for you Ship real alpha that thousands of users rely on—your code will run in production within weeks. Mentorship from senior quants building cutting-edge systems. Flexible leave and work hours, dog-friendly office, annual off-sites, and competitive CTC + ESOPs. Comprehensive health cover (physical & mental), unlimited tele-consults, dental, annual check-ups. 💬 Our Hiring Process Intro chat – culture & motivation fit (30 min). Quant screen – probability & statistics problems (60 min). Coding/Back-test round – small Python task or notebook review (90 min). On-site with founders & SQR – deep dive into your projects and our mission (60 min). Offer & onboarding – reference checks, paperwork, start date! Ready to turn ideas into live trading code—and learn the craft of systematic alpha along the way? Apply now and help us democratize smart, risk-aware trading. Show more Show less

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