ApplySarthiQuantitative Developer - Python
IMC
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This role on the market
217 open quantitative roles across 32 companies are on ApplySarthi right now, most of them in Mumbai (7), Delhi NCR (6), Bengaluru (1).
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What quantitative roles keep asking for: Python (41%), Machine learning (22%), C++ (18%) — counted across their open postings here.
Machine learning jobs · Python jobs · pandas jobs
IMC has 175 open roles listed here.
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for quantitative roles keep coming back to Python, Machine learning, C++. Practise those questions before you sit with IMC.
Questions you are likely to be asked
- Why do you want to join IMC?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
- Walk me through a system you built. How was it designed, and what would you change now?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Quantitative Developer - Python at IMC interview free →IMC is looking for a Quantitative Developer to own the full path from research to production. This role blends research and engineering, with tight feedback loops from ideation to live trading. You will build the systems that turn quantitative insights into measurable edge, with direct visibility into how your work creates impact.
Your Core Responsibilities:
- Build and maintain systems that span research and production, enabling rapid iteration from idea to production
- Design high-fidelity simulation and backtesting infrastructure that models latency, microstructure, and real-world constraints
- Define, compute, and curate features across instruments, regimes, and time horizons
- Own feature and signal pipelines, ensuring clean, consistent delivery from research to execution
- Contribute to strategy optimization, balancing expected performance with real-world constraints
- Debug issues end-to-end across research and execution
Your Skills and Experience:
- 3-7 years of experience in quantitative software development, preferably at a trading firm or systematic fund
- Strong production experience in Python, including data analysis workflows (pandas, polars, or similar)
- Strong grounding in probability, statistics, and time series analysis; familiarity with backtesting and simulation frameworks
- Solid understanding of ML concepts as applied to systematic strategies, from research through production
- Experience with low-latency systems is valuable
- Ability to work fluidly across research and engineering teams
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
About Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.
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Listed on greenhouse · posted 2026-05-29. ApplySarthi collects openings and links to application pages; the role is advertised by IMC, not by us.