Algo Quant Strategist (Options)
I'm working with a client that's making a strategic push to expand its systematic capabilities within the equity derivatives space. This is a newly created function, and they're hiring their first quant to lead the buildout of a sophisticated, automated trading system.
The team has already developed a strong set of internal tools-but they're not yet ready for production. This hire will be responsible for productionizing, scaling, and ultimately helping shape the future of the business. It's a hands-on role with real ownership and the potential to grow into a leadership position as the team expands.
The ideal candidate will bring deep experience in options theory, market microstructure, and systematic execution, along with strong programming skills and a collaborative mindset. You'll be working closely with traders who are shifting toward a more systematic approach in the derivatives space.
Key Responsibilities:
- Develop auto-quoting and auto-hedging strategies for options
- Build back-testing frameworks and execution benchmarking tools
- Design and implement custom execution algorithms
- Collaborate with traders and quants to improve performance
- Store and analyze historical trade data for ongoing optimization
Requirements:
- Strong background in quantitative finance, mathematics, or statistics
- Deep understanding of options, market microstructure, and algo trading
- Proficiency in Python (must-have); C++, Java, or KDB are nice-to-haves
- Experience with back-testing, execution analysis, and risk systems
- Excellent communication and collaboration skills
- Buy-side experience preferred
- Open to candidates up to VP level
- H1B candidates welcome (we'll ask about approval date and I-140 status)
This is a rare opportunity to be the first hire in a high-impact team, with the chance to build out a team beneath you as the function grows.
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