The Global Risk Analytics team is looking for a seasoned 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 design and operate AI-powered systems that automate complex risk workflows and support regulatory submissions. The ideal candidate brings equal depth in Agentic Coding and financial risk domain knowledge, with hands-on experience structuring agentic workflows, validating AI-generated output, and architecting end-to-end systems in environments similar to Claude Code.
Key Responsibilities
- Design and implement end-to-end agentic workflows that enable autonomous planning, multi-step execution, and tool use across risk analytics and regulatory submission processes.
- 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 in a financial risk context.
- 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.
Required Qualifications
- Education: Master's degree in Financial Engineering, Mathematics, Computer Science, or a related quantitative field preferred; Bachelor's considered with exceptional experience.
- Experience: 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 - not limited to simple LLM API calls.
- Practical experience building validation frameworks or testing pipelines to verify AI-generated outputs in a professional setting; concrete examples required.
- Hands-on experience with LLM-powered developer tooling or systems similar to Claude Code, including CLI-based AI agents or LLM-assisted code generation and review pipelines.
- 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.
Preferred Qualifications
- Knowledge of RegIM / SIMM (Regulatory Initial Margin, ISDA SIMM methodology, IM regulatory submissions) is highly desirable.
- Experience with portfolio analytics across multiple asset classes, including derivatives pricing and factor models.
- Proficiency with DevOps tooling: Docker, Kubernetes, cloud platforms (Azure/AWS), and CI/CD pipelines.
- Familiarity with graphical user interface (GUI) development in Python.
- Ability to handle large datasets and implement efficient processing algorithms.
Primary Location Full Time Salary Range of $140,000 - $165,000.
About Us
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.
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. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.
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.
The salary offered will take into consideration an individual’s experience level and qualifications. In addition to salary, Jefferies Financial Group is proud to offer a comprehensive benefits package to eligible, full-time employees or part-time employees, who are scheduled to work at least 30 hours or more per week, including an annual discretionary incentive and retention bonus, competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Jefferies also offers paid time off packages that include planned time off (e.g., vacation), unplanned time off (e.g., sick leave), and paid holidays, and for full-time employees, paid parental leave.
Jefferies New York, New York, USA Office
New York, NY, United States
Jefferies Jersey City, New Jersey, USA Office
101 Hudson Street, Jersey City, United States, 07302-3915
Jefferies New York, New York, USA Office
New York, United States
Similar Jobs
.png)
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
