Senior Quantitative Risk Analytics Engineer

swissQuant; Zürich; On-site; CHF 140,000 - 200,000; Full time

Job summary

swissQuant Group seeks a highly capable quantitative software professional to join a cross-functional team building cloud-based portfolio risk systems for leading institutions. You will drive risk-model development, testing and deployment across the full lifecycle, expanding analytics and instrument coverage while maintaining high-quality documentation and client-facing outputs.

The role emphasizes collaboration with the Capital Market Technologies team, exposure to CCP risk models, margin

Qualifications

• PhD not required but welcomed for advanced positions.
• Strong background in quantitative model development, testing and documentation.
• Familiarity with financial markets, risk factors and derivatives valuation models.
• Experience with AI coding tools and modern engineering workflows.
• Excellent written and spoken communication for client interactions.

Responsibilities

• Design, build and maintain production-grade risk models and code within a unified library.
• Implement, test and monitor risk analytics across the full development cycle.
• Expand instrument coverage and analytics in the risk engine.
• Enhance portfolio risk tools and visualization capabilities.
• Translate quantitative ideas into client deliverables and reports.
• Collaborate with AI tooling and agentic development to speed up delivery.
• Deliver model development, validation and review for regulatory standards.
• Present results and modeling assumptions to stakeholders with diverse backgrounds.

Skills

Python programming

Quantitative modeling

Statistical methods

Communication skills

Client-facing

Team collaboration

Time management

Education

Higher university degree in a quantitative discipline

Tools

SQL

NoSQL

Google Cloud

Jenkins

Docker

Kubernetes

Claude Code

Codex

Gemini CLI

Cursor

Windsurf

Job description

swissQuant Group seeks a highly capable quantitative software professional to join a cross-functional team building cloud-based portfolio risk systems for leading institutions. You will drive risk-model development, testing and deployment across the full lifecycle, expanding analytics and instrument coverage while maintaining high-quality documentation and client-facing outputs.

The role emphasizes collaboration with the Capital Market Technologies team, exposure to CCP risk models, margin