Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Fixed Income Derivatives Quant

Job

Selby Jennings

Princeton, NJ (In Person)

Full-Time

Posted 3 days ago (Updated 1 day ago) • Actively hiring

Expires 7/5/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
74
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

A well established boutique investment manager based in Princeton, NJ, is looking for a new member of their Quantitative Research and Systems team. This is a front-office adjacent, highly technical role designed to support trading strategies through mathematical modeling, system development and support. The ideal candidate is not just a strong programmer, but is someone who also understands the mathematics of fixed income instruments and can code them into a production system.
Qualifications:
Education:
PhD in a Quantitative Field (Physics, Applied Math, Engineering, Financial Engineering or Computer Science preferred), exceptional Masters candidates will be considered
Programming:
Experience with Python, MySQL, C#, etc.
Domain Knowledge:
Deep exposure to fixed income or derivatives modeling
Attributes:
Clear, effective, and strong communication skills and ability to interact with a non-technical audience
Responsibilities:
1. Fixed Income Derivatives Modeling Develop, implement and validate new interest rate and volatility models (swaptions, curves) Review mathematical, conceptional, and technical soundness of existing models 2 . Programming and Systems Maintenance Develop and maintain proprietary trading, pricing, and risk tools using c# and Python Manage and query data using MySQL 3. Communication Act as a bridge between technical models and non-technical staff (portfolio managers, traders, operations, compliance) Present complex quantitative concepts with clarity to internal teams and potentially external investors