Senior Quantitative Analyst

Atradius provides trade credit insurance, surety and collections services worldwide through a strategic presence in 50 countries. Atradius has access to credit information on 200 million companies worldwide. Its credit insurance, surety and collections products help protect companies throughout the world from payment risks associated with selling products and services on trade credit.

Senior Quantitative Analyst

Unit Description

Group Risk Management (GRM) supports Atradius in optimising its risk profile by providing quantitative models, analyses, and advisory services. It enables the business to identify, assess, and manage risks, ensuring that decisions are taken with a clear understanding of risk–return trade-offs. Within GRM, Corporate Risk Management (CRM) is the unit responsible for the day-to-day execution of the risk management function. Core activities include the development and maintenance of capital and pricing models, the conduct of risk analyses, the support of governance and control frameworks, and the reporting of risk to senior management. CRM provides information, tools, and advisory services across the organisation and covers both quantitative and qualitative aspects of risk management. Its role includes measuring and explaining Atradius’ risk profile and assessing solvency needs, both currently and on a forward-looking basis. CRM’s Pricing, Governance, Execution & Reporting team is currently looking for a Senior Quantitative Analyst with a passion for coding.

We are looking for people who:

• Are motivated to work in a dynamic, international, and demanding environment.
• Are willing and able to learn continuously and develop their skills.
• Are reliable and capable of working both independently and as an effective team player.
• Have an inquisitive mindset, aim to understand the business, and strive to find better ways of doing things.
• Combine conceptual thinking with a pragmatic, hands-on mindset and take ownership of their work.

Job Description

In your role, you will be a key contributor to GRM’s analytical tool kit for model-based price calculation and scenario analyses that project and stress our financial position, our risk profile, and our solvency needs. Based on established tools, as well as exploratory data analysis, you will identify and understand causalities, trends, business mechanics, and ultimately the risks we are facing throughout our value chain.

You combine quantitative depth with business understanding. You are able to understand the underlying quantitative models, assess their assumptions, and interpret results in a business-relevant context. You translate analytical outcomes into insights that support decision-making across different stakeholders. At the same time, you take a hands-on role in implementing and maintaining our analytical tooling. You act as the team-internal centre of expertise for coding and contribute actively to developing, maintaining, and improving our code base in R/RShiny, including production code and reference implementations. You enjoy coding and are willing to spend a good part of your time developing robust and maintainable analytical tools and applications. You act as coach and mentor for your colleagues, helping them to grow their technical skills and you contribute to establishing and applying best practices within the team.

You will work closely with other specialists and units and be embedded in an international, culturally diverse team of quantitative, financial, and risk management experts. This will enable you to contribute where the business relies on your expertise and to further develop both professionally and personally.

Knowledge, Skills and Experience

• You bring excellent analytical and problem-solving skills. You are able to bridge the gap between quantitative analysis, technical implementation, and business interpretation.
• You understand the theoretical foundation of models and you want to understand the business context in which models are applied. You have demonstrated experience in applying quantitative methods to economic or financial problems, developing and analysing scenarios, understanding underlying drivers of risk, and translating results into business-relevant insights.
• You have advanced coding skills in a numerical/statistical programming language such as R or Python and experience in developing structured, maintainable, and scalable code. You are interested in how business processes are reflected in data structures and you are familiar with relational databases and SQL. Experience with R is considered relevant.
• You have an advanced degree (MSc/PhD) in a quantitative discipline (e.g. Econometrics, Quantitative Economics, Financial Mathematics, Physics, Mathematics, Statistics or Machine Learning). Experience with insurance-related topics or regulatory frameworks (e.g. Solvency II) is considered a plus.
• You can work independently but you also enjoy working with an international team, sharing your skills and being a team player.
• You are committed, willing to take responsibility, and able to manage multiple assignments. You take responsibility for delivering high-quality results within deadline.
• Fluency in English is required for the position.

What we offer

• A great and challenging place to work: Truly international, dynamic, transparent, informal.
• An environment for our people where they can realise professional growth.
• Attractive terms of conditions: salary in line with market conditions, 13th month, variable pay scheme, pension scheme etc.