Quant jobs / Schonfeld
Quantitative Strategist – Equities
A strategist role in a central team that supports emerging-markets and delta-1 equity traders with valuation and risk tools. It sits between portfolio managers and the quant library.
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.
- Model equity products and how their risk is represented
- Calibrate dividend, funding and rates parameters
- Solve pricing and analytics problems raised by portfolio managers
- Build strategy design and back-testing analytics
- Extend the risk engine and platform
What they ask for
Required
- Strong Python
- Equity derivative model development in enterprise settings
- Risk platform design and build
- Working with PM, quant and research teams
- Communication
- Track record of delivering
Preferred
- Delta-1 equity business experience
- Education
- Not stated
- Experience
- Prior experience building equity derivative models and risk platforms
- Languages and tools
- Markets
- equities, options
How to prepare
- Learn how dividends, borrow and funding are modelled and calibrated for equity derivatives
- Build a pricer and risk report for vanilla and simple exotic equity options in Python
- Understand delta-1 products such as swaps and futures
- Practise a simple backtest framework for strategy analytics
What to study
- Derivatives Pricing and Computational Finance
- Financial Instruments, Markets and Conventions
- Python for Quantitative Finance
- Quantitative Risk Management
The Derivatives Pricing 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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