Quant jobs / Schonfeld
Quantitative Strategist – Risk
A strategist role in a central team supporting emerging-markets, delta-1 and volatility traders. It makes sure derivative risk matches product payoffs.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Represent product and book-level risk accurately for equity derivatives
- Build stressed scenarios and model how books behave in them
- Extend the shared valuation and risk library
- Answer risk and pricing questions from traders and PMs
What they ask for
Required
- Strong Python
- Equity derivatives experience
- Financial mathematics intuition
- Working with risk teams, traders and PMs
- Production environment experience
- Communication
- Education
- Not stated
- Experience
- Prior experience with equity derivatives and production environments
- Languages and tools
- Markets
- equities, options
How to prepare
- Build a risk engine for an equity options book: greeks and scenario ladders
- Learn how payoffs map to risk for exotic products
- Practise stress testing with spot and vol shocks
- Learn good production habits such as tests and version control
What to study
- Derivatives Pricing and Computational Finance
- Quantitative Risk Management
- Python for Quantitative Finance
- Advanced Derivatives and Exotic Options
The Risk Quant roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Schonfeld’s site before applying: requirements, location and pay can change after we check them.
View the posting on Schonfeld’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Schonfeld and doesn’t handle applications.
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