Point72 / Cubist
Quantitative Analyst, Structured Products Investment Team
New York, NY +1 · Full-time · Posted Aug 25, 2026
- Location
- New York, NY
New York, New York, United States - Experience
- 3+ years; stated alternatives are sell-side trading or quantitative research, or quant work at a buy-side credit- or mortgage-focused fund.
- Education
- Undergraduate degree or higher in computer science, economics, engineering, mathematics, physics, or statistics.
About the job
Build and maintain infrastructure and analytics for structured-products investing on a discretionary macro team, including CLO projects and AI-enabled process improvements.
What you'll do
- Architect and maintain structured-products investment infrastructure; support data infrastructure builds and integrate alternative and traditional data.
- Use AI to optimize processes and work with High Yield Equivalent risk parameters and market-standard analytics platforms such as Bloomberg.
- Manage and assist with special projects in the CLO market.
What they ask for
- 3+ years at a sell-side firm in trading or quantitative research, or as a quant at a buy-side credit- or mortgage-focused fund.
- Undergraduate degree or higher in computer science, economics, engineering, mathematics, physics, or statistics.
- Advanced knowledge of a programming language such as Python, C++, or SQL.
- Advanced Excel and cashflow modeling skills; extensive experience with third-party structured credit cashflow engines (e.g., INTEX) and API.
Tools
Python, C++, SQL, Excel, INTEX, Bloomberg
AI focus
Use AI to enhance and optimize processes.
Model-written summary · the original posting is authoritative