Quantitative Engineer – Risk Analytics at swissQuant

Department: ProductSeniority in posting: Mid-level

Language

Setup: Hybrid
Location: Zurich, Zurich
Type: Full-time
Level: mid
Posted: Aug 3, 2026

Description

swissQuant Group is hiring a mid-level Quantitative Risk Engineer to join a cross-functional team building and operating a cloud-based portfolio risk system. The role covers model development, implementation, testing, monitoring, documentation, client deliverables, and exposure to capital markets and CCP risk projects. Candidates need a quantitative degree, at least three years of Python experience, knowledge of datastores, statistical and econometric modelling, and experience with AI coding tools.

Required Skills

Python
SQL
NoSQL
Statistical modelling
AI coding tools
CCP risk models

Additional Information

Minimum Education: Higher university degree in a quantitative discipline such as Quantitative Finance, Mathematics, Physics, Computer Science or Engineering
Required Previous Experiences: Quantitative model development, testing and documentation
At least 3 years of Python coding experience
Knowledge of SQL and/or NoSQL datastores
Hands-on experience with AI coding tools
Preferred Qualifications: Knowledge of factor models, asset allocation and derivatives valuation models
Exposure to practical portfolio management or risk management
Exposure to CI/CD technologies including Google Cloud, Jenkins, Docker and Kubernetes
Familiarity with agentic application development, including LLM-based agents, tool/function calling, RAG and MCP
Hands-on experience with CCP risk models, margin methodologies, default funds and stress testing frameworks
Translation Company Name: swissQuant Group