AVP, Quant Developer - Risk Analytics

Jefferies Financial Group • New York, NY

7d • $140,000 - $165,000

About The Position

The Global Risk Analytics team looking for a Quantitative Risk Developer to join our Quant Risk Development team. This role offers the opportunity to work closely with other risk analytics teams, including Market Risk, Credit Risk, and RegIM, to develop tools to automate workflows for supporting regulatory submissions and other risk management initiatives. The ideal candidate will have strong experience in Python programming with DevOps, financial risk analytics, backend development, and hands-on expertise in Agentic development in Claude Code.

Requirements

• Bachelor’s or Master’s degree in computer science, Finance, Mathematics, or a related field.
• At least 5 years of professional experience in Python programming with a focus on backend development for financial applications.
• Must have expertise in code development in Claude Code using agentic models.
• Proficiency in financial risk analytics and knowledge of regulatory frameworks, including SIMM, is highly desirable.
• Strong understanding of risk modeling and portfolio analytics across various asset classes.
• Demonstrated ability to develop scalable, reusable Python libraries.

Nice To Haves

• Familiarity with graphical user interface (GUI) development in Python is a plus.
• Knowledge of financial derivatives, portfolio optimization, and risk management practices.
• Ability to handle large datasets and implement efficient processing algorithms.

Responsibilities

• Collaborate with internal risk teams to design and implement Python-based tools and libraries that automate risk analytics processes and regulatory submissions.
• Design, build, and deploy Agentic AI models that enable autonomous planning, tool use, and multi-step execution for risk analytics and workflow automation.
• Experienced in developing code with Claude code, from planning to creating sub-agents taking advantage of, skills, commands and hooks.
• Facilitate efficient data processing, integration, and reporting pipelines to streamline regulatory submissions and internal analytics.
• Partner with end-users to gather requirements and deliver solutions tailored to complex risk analytics workflows.
• Contribute to a robust CI/CD environment and ensure code quality through testing, peer review and version control.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees