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About the Role
The Global Risk Analytics team seeks a Quantitative Risk Developer to design and operate AI-powered systems for automating risk workflows and supporting regulatory submissions, collaborating with other risk analytics teams.
Responsibilities
- Design and implement end-to-end agentic workflows for autonomous planning, multi-step execution, and tool use in risk analytics and regulatory submissions.
- Architect and own the full system design of AI-powered risk platforms, including data flow, tool integration, orchestration layer, and production deployment.
- Build and maintain validation frameworks and testing pipelines to ensure the correctness and reliability of AI-generated code and analytical outputs.
- Develop and integrate LLM-powered developer tooling, including CLI-based agents and code generation/review pipelines, to accelerate risk analytics delivery.
- Collaborate with Market Risk, Credit Risk, and RegIM teams to translate complex domain requirements into robust, automated Python solutions.
- Develop scalable, reusable Python libraries and contribute to a robust CI/CD environment through testing, peer review, and version control.
- Facilitate efficient data processing, integration, and reporting pipelines to streamline regulatory submissions and internal analytics.
Requirements
- At least 5 years of professional experience in Python backend development for financial applications.
- Demonstrated experience designing and maintaining multi-step agentic workflows, orchestration logic, branching execution, and tool use.
- Practical experience building validation frameworks or testing pipelines to verify AI-generated outputs in a professional setting.
- Hands-on experience with LLM-powered developer tooling or systems similar to Claude Code.
- Proven ability to own full system architecture for agentic platforms, covering data flow, tool integration, orchestration, and deployment.
- Strong knowledge of financial risk domains, specifically Market Risk (VaR, ES, Greeks, stress testing, FRTB) and Credit Risk (PD/LGD/EAD, CECL, CCAR, SA-CCR).
- Demonstrated ability to develop scalable, reusable Python libraries.
Skills
- Python
- Agentic Coding
- Financial Risk
- LLM
- CI/CD
- Docker
- Kubernetes
- Azure
- AWS
Location
- Primary Location
Work Type
- Full Time
Experience Level
- 5 years of professional experience
Education Level
- Master's degree in Financial Engineering, Mathematics, Computer Science, or a related quantitative field preferred; Bachelor's considered with exceptional experience.
Salary/Compensations
- $175,000 - $200,000
Benefits
- Annual discretionary incentive and retention bonus
- Competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
- Paid time off packages that include planned time off (e.g., vacation), unplanned time off (e.g., sick leave), and paid holidays.
- Paid parental leave for full-time employees.
About the Company
- Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services.
- With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments.
Equal Opportunity
- At Jefferies, we are committed to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live.
- Jefferies is committed to creating and sustaining a workforce that welcomes individuals from all backgrounds to apply.
- Our employment decisions are made without regard to race, creed, color, national origin, ancestry, religion, pregnancy, age, medical condition, physical or mental disability, marital status, domestic partner status, sex, sexual orientation, gender, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law.
- We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws.
- As part of this commitment, Jefferies will extend reasonable accommodation to individuals with disabilities, as required by applicable law.