VP, Quant Developer - Risk Analytics

Jefferies
New York, Jersey
Workplace: OnsiteFull timeUSD 175,000 - 200,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 5+ yearsEducation: mastersSkills: ["Collaboration","System ownership"]

Design and operate AI-powered risk analytics platforms that automate multi-step risk workflows and support regulatory submissions. Lead end-to-end agentic workflow architecture, data flow, tool integration, orchestration, and production deployment. Build validation frameworks and testing pipelines for AI-generated code and analytical outputs, and develop LLM-powered developer tooling (CLI agents, code generation/review pipelines). Collaborate with Market Risk, Credit Risk, and RegIM teams to translate domain requirements into scalable Python solutions.

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FursaFursa
Jefferies
Jefferies
1 day ago

VP, Quant Developer - Risk Analytics

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Design and operate AI-powered risk analytics platforms that automate multi-step risk workflows and support regulatory submissions. Lead end-to-end agentic workflow architecture, data flow, tool integration, orchestration, and production deployment. Build validation frameworks and testing pipelines for AI-generated code and analytical outputs, and develop LLM-powered developer tooling (CLI agents, code generation/review pipelines). Collaborate with Market Risk, Credit Risk, and RegIM teams to translate domain requirements into scalable Python solutions.
Location: New York, Jersey
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Sr. Director level

Key Responsibilities

  • •Design and implement end-to-end agentic workflows for autonomous planning, multi-step execution, and tool use across risk analytics and regulatory submission processes.
  • •Architect and own AI-powered risk platform system design, including data flow, tool integration, orchestration, and production deployment.
  • •Build and maintain validation frameworks and testing pipelines to ensure 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 domain requirements into robust, automated Python solutions.

Pay and Benefits

Salary: USD 175,000 - 200,000 annually
Perks:Health InsuranceDentalVision401kLife InsuranceDisability InsuranceWellness StipendPaid LeaveParental Leave

Key Requirements

  • •At least 5 years of professional Python backend development experience for financial applications.
  • •Experience designing and maintaining multi-step agentic workflows (orchestration logic, branching execution, and tool use).
  • •Experience building validation frameworks or testing pipelines to verify AI-generated outputs in a professional setting.
  • •Hands-on experience with LLM-powered developer tooling, including CLI-based AI agents or LLM-assisted code generation and review pipelines.
  • •Strong ability to own full system architecture for agentic platforms, including data flow, tool integration, orchestration, and deployment.
Experience:5+ yearsFinancial riskAILLM-powered systemsRegulatory submissions
Education:Master's in Financial Engineering, Mathematics, Computer Science, or a related quantitative field
Skills:CollaborationSystem ownership
Tech Stack:PythonLLMClaude CodeCLIDockerKubernetesAzureAWSCI/CDVaRESGreeksStress testingFRTBPD/LGD/EADCECLCCARSA-CCRRegIMSIMM

Company Brief

Jefferies
Global investment banking and capital markets firm providing advisory, underwriting, trading, research, and asset management services to corporations, governments, and institutional investors.
Industry: Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 1962
WebsiteLinkedIn