ApplySarthiQuantitative Trading Strategist - Equity Options
IMC
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This role on the market
231 open quantitative roles across 43 companies are on ApplySarthi right now, most of them in Mumbai (8), Delhi NCR (4), Hyderabad (2).
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What quantitative roles keep asking for: Python (78%), Machine learning (45%), C++ (33%), SQL (26%), R (18%) — counted across their open postings here.
C++ jobs · Machine learning jobs · Python jobs
IMC has 157 open roles listed here.
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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++, SQL. 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 C++? Tell me one thing you learned the hard way.
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
- Tell me about yourself, and why this role is the right next step.
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Practise the Quantitative Trading Strategist - Equity Options at IMC interview free →IMC is seeking experienced quantitative professionals to join our US Equity Options market-making business. We are a leading scaled liquidity provider in US equity options, operating a large-scale systematic trading platform spanning thousands of underlyings. Our platform integrates quantitative research, trading strategy development, and production engineering within a collaborative, non-siloed environment across trading, research, and development teams.
This role focuses on improving how automated trading decisions are designed, evaluated, and deployed in live markets. You will work at the intersection of quantitative research, execution, and risk management to enhance pricing quality, execution performance, and overall system robustness. Improvements influence the broader platform rather than a single seat, providing meaningful ownership and impact from day one. Compensation is competitive and aligned with individual contribution.
Your Core Responsibilities:
- Develop and refine quantitative models that improve pricing, execution, and risk management.
- Analyze large-scale market and trading datasets to identify structural improvements.
- Design, test, and deploy strategy enhancements into production systems.
- Collaborate closely with traders, researchers, and engineers to iterate on live trading logic.
- Contribute to scalable solutions that impact a broad universe of equity options products.
- Drive research from idea generation through backtesting, implementation, and real-time monitoring.
Your Skills and Experience:
- 3+ years of experience in quantitative research, systematic trading, or market microstructure-focused roles.
- Experience working with exchange-traded products, ideally equity options.
- Strong understanding of market structure and trading system behavior.
- Demonstrated ability to conduct rigorous analysis on large, real-world datasets.
- Strong programming skills (Python required; C++ or similar preferred).
- Experience integrating research into production trading systems.
- Background in statistics, probability, time series analysis, or optimization is strongly preferred.
The Base Salary 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.
Salary
$250,000
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 2026-02-27. ApplySarthi collects openings and links to application pages; the role is advertised by IMC, not by us.