📖 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.