Senior Risk Quant: Python Analytics & Tools (Hybrid NYC)

Yablon & Associates LLC; New York (NY); Hybrid; USD 1,205,000 - 1,570,000; Full time

Job summary

Yablon & Associates LLC in New York is seeking a seasoned Risk Quant to join our Risk Analytics Methodology team. The role focuses on building Python-based backend tools for financial risk analytics across multiple asset classes.

You will collaborate with Market Risk, Credit Risk, SIMM and Quantitative Risk Development teams, gather requirements from end-users, and deliver scalable libraries and workflows that improve risk measurement and reporting.

Qualifications

• Bachelor’s or Master’s degree required in Quantitative Finance, Mathematics, Computer Science, or related field.
• At least 3 years of Python backend development experience for financial applications.
• Strong coding skills with scalable, reusable Python libraries.
• Excellent attention to detail and organizational abilities.

Responsibilities

• Collaborate with end-users to gather requirements and deliver tailored risk analytics solutions across asset classes (equity, fixed income, credit).
• Design, implement, and ensure consistency of diverse risk measures with internal risk teams.
• Develop Python-based tools and libraries to enhance risk analytics processes.
• Develop, maintain and enhance backend Python libraries to support risk analytics applications.
• Maintain and improve backend Python libraries to support a range of risk analytics applications.

Skills

Python

Risk analytics

Backend development

Communication

Education

Bachelor’s or Master’s degree in Quantitative Finance/Math/CS

Tools

Python tooling

Job description

Yablon & Associates LLC in New York is seeking a seasoned Risk Quant to join our Risk Analytics Methodology team. The role focuses on building Python-based backend tools for financial risk analytics across multiple asset classes.

You will collaborate with Market Risk, Credit Risk, SIMM and Quantitative Risk Development teams, gather requirements from end-users, and deliver scalable libraries and workflows that improve risk measurement and reporting.