Equities Quant Analyst
We are partnered with a tier one IB looking to add a Quantitative Analyst supporting its equities business in New York.
This role focuses on developing analytical tools and models to support trading desks in pricing, risk assessment, and balance sheet efficiency. The position works closely with trading and commercial stakeholders to deliver data-driven insights and build scalable solutions that enhance decision-making.
Responsibilities include building quantitative models, analyzing large datasets to uncover market signals, and developing libraries and tools used in daily trading activities. The role also involves contributing to the design of systems that improve workflow efficiency and supporting the evolution of the team's analytical capabilities. They are open to candidates currently sitting at the AVP or VP level.
Requirements
- Strong background in quantitative modeling within equities or related asset classes
- Solid foundation in mathematics and statistics
- Advanced Python skills; experience writing production-quality code
- Experience working closely with trading or investment teams
- Ability to communicate technical concepts clearly to non-technical audiences
- Proven ability to manage multiple projects simultaneously
Preferred
- Experience within equity financing, prime services, or Delta One businesses
- Experience with derivatives or financing-related products
- Familiarity with optimization or data-driven decision frameworks
- Exposure to modern engineering practices, including version control and automated workflows
- Experience with data visualization tools or building user-facing analytics
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