Quantitative & Risk Analyst

Mission 

Build, enhance, and maintain quantitative processes and applications to support: 

• Instrument risk modelling 
• Portfolio and investment risk management 
• Financial screening and investment proposal solutions 
• Data engineering and database management 
• Quantitative reporting and analytics
   

Main responsibilities 

You will join a 10-person Risk and Quantitative Analysis team serving both Asset Management and Wealth Management. You’ll leverage strong coding and financial skills to contribute to core functions across risk modeling, portfolio risk oversight, and quantitative infrastructure such as: 

• Investment Risk Management
  • Develop, calibrate, and automate risk models for client portfolio instruments, including derivatives and structured products.
  • Oversee portfolio risk across strategies and mandates; produce risk metrics, ensure daily data quality checks, manage exceptions.
  • Recommend portfolio adjustments based on risk optimization, style analysis, and stress scenarios.
  • Partner with portfolio managers to translate risk insights into actionable proposals.
• Quant Infrastructure and Data
  • Maintain and extend the team’s data pipelines and tooling; collect, compute, and process market, reference, and portfolio data. Enforce data lineage, versioning, and audit trails.
  • Participate to the maintenance and development of instrument screening tools, across various asset classes.
  • Contribute to quantitative reporting for external and internal stakeholders.
• Investment Proposal Tool
  • Participate to the maintenance and development of an investment proposal tool, for both discretionary mandates and institutional clients.
     

Your Profile

• Minimum 3-year experience in a similar role or equivalent
• Degree in Quantitative Economics, Mathematics, IT, Finance, or equivalent. 
• Strong IT skills: Python, C#, SQL, VBA. Experience in developing APIs a plus.
• Experience with external tools such as BQuant or APT a plus
• Analytical mind with ability to explain technical subjects in a fluent way
• Client orientated with an excellent service delivery
• Team oriented with the capacity to work autonomously while reporting to the direct supervisor
   

Core Competencies : Adherence to the company’s values: Dedication, Conviction, Agility and Responsibility - Compliance with regulations and internal directives