ApplySarthiQuantitative Researcher - Options
IMC
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What quantitative roles keep asking for: Python (41%), Machine learning (22%), C++ (18%) — counted across their open postings here.
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IMC has 175 open roles listed here.
Counted across 14 company job boards, updated as roles open and close.
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- Why do you want to join IMC?
- What is your experience with Python? Tell me one thing you learned the hard way.
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- Tell me about a problem you solved at work that you are proud of.
- Tell me about a time you disagreed with your manager. What happened?
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Practise the Quantitative Researcher - Options at IMC interview free →IMC Trading is seeking a Senior Quantitative Researcher to join the options quant team. You will join the team as a senior member with the expectation of leading projects and mentoring juniors. Skills and responsibilities listed below.
Your Core Responsibilities:
- Collaborate with the trading and quantitative research team to evaluate existing algorithms
- Combine knowledge of systems, mathematical techniques and trading to identify the best places to improve our trading system
- Rapidly research, test, and prototype new algorithmic ideas, preferably with Python.
- See through the high-quality implementation of ideas to full-scale production trading.
- Mentor graduate quantitative researchers
Your Skills and Experience:
- Ms or PhD in a highly quantitative field
- At least 5 years in financial services or a quantitative environment
- Experience in project or people management
- Strong programming skills, Python, Java or C++ preferred
- Proven success in quantitative modelling and algorithm development
- You have experience with options pricing
#LI-DNP
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 2024-02-06. ApplySarthi collects openings and links to application pages; the role is advertised by IMC, not by us.