Quantitative Risk Analyst / Risk Manager Permanent

Role Overview

Our client, a leader in trade credit insurance, surety, and collections services, is seeking a Senior Quantitative Analyst/Quantitative Risk Manager to join their Enterprise Risk Management (ERM) team. This role involves working within the Group Risk Management (GRM) unit, which is central to the client’s modern risk management function.

Unit Overview

Group Risk Management (GRM) is integral to the client’s operations, providing information, tools, and advisory services across the organization. The ERM unit within GRM is responsible for measuring and explaining the client’s risk profile, determining solvency needs, maintaining risk governance, and managing non-financial risks.

Key Responsibilities

As a Senior Quantitative Analyst/Quantitative Risk Manager, you will be instrumental in the development and operation of analytical tools to determine, analyze, project, and stress financial positions, risk profiles, and solvency needs.

You will play a crucial role in:

• Maintaining and further developing tools to understand the business and risk profiles.
• Conducting what-if and scenario analyses, as well as stress tests.
• Supporting the explanation and contextualization of results from a business perspective.
• Performing analyses and developing new calculation and reporting practices.
• Strengthening GRM’s advisory capacity and improving the quality and efficiency of internal and external reporting.

This role requires close collaboration with other specialists and units, working within an international and culturally diverse team of experts in quantitative, financial, and risk management.

Qualifications and Experience

The ideal candidate will have:

• Strong analytical and problem-solving skills with a master’s level (or higher) education in disciplines such as Statistics, Computer Science, Data Science, Machine Learning, Mathematical Finance, or Econometrics.
• Expertise in Excel and experience with numerical/statistical programming languages like R or Python. Proficiency in R / RShiny / Rmarkdown is advantageous.
• Knowledge of relational databases (e.g., Oracle) and SQL.
• Experience with Solvency II, IFRS 17, and a good understanding of key financial figures in an insurance company.
• The ability to work both independently and as part of an international team.
• Attention to detail and strong communication skills.
• Fluency in English is required.

What Our Client Offers

• A dynamic, international, and challenging work environment.
• Training and support for continuous professional development.
• A hybrid working model that combines office and home-based work.
• Competitive salary, pension package, and a range of flexible benefits.

Equal Opportunities

Our client values diversity and inclusion. They believe that the success of their organization depends on the quality of their people and the diverse ideas they bring. They promote an inclusive culture where everyone feels involved and valued and encourage applications from all backgrounds.