Professional Profile

Senior actuarial professional with 10+ years of experience across insurance and reinsurance, specializing in pricing, capital modelling, and reinsurance analytics. Combines strong quantitative expertise with a pragmatic, decision-oriented approach, enabling effective communication and alignment across technical and business stakeholders. Experienced in translating complex risk insights into actionable input for pricing, underwriting, and strategic decisions in an international environment.

Work Experience

Senior Quantitative Risk Specialist

Ageas | Valuation Non-Life Risk | Oct 2023 - Present

I drive the development and implementation of Solvency II internal models for multi-line reinsurance, supporting capital, pricing, and portfolio steering decisions. Additionally, I communicate with stakeholders across business and technical teams while collaborating to divide tasks and deliver robust technical solutions. Utilizing stochastic simulations to analyze loss distributions and provide decision-relevant insights for reinsurance strategy optimization.

Key Responsibilities:

  • Drive development and implementation of Solvency II internal models for multi-line reinsurance, supporting capital, pricing, and portfolio steering decisions.
  • Provide capital-driven insights for reinsurance structuring, risk selection, and portfolio optimization.
  • Assess and enhance modelling methodologies, including development and validation of alternative approaches.
  • Lead automation and tooling for model execution, testing, and stakeholder reporting.

Honorary Research Associate

Imperial College London | Department of Metabolism, Digestion and Reproduction | July 2024 - Present

Lead statistical methodology and analysis for biomedical research projects. Oversee data quality, design robust analytical frameworks, and guide interpretation of findings for academic publication. Collaborate with clinical researchers to ensure statistical rigor and applicability of results.

Senior Actuarial Data Scientist

Belgian Insurance Company | Data Analytics | Oct 2019 - Sep 2023

Developed and deployed a production pricing model supporting premium setting, underwriting decisions, and portfolio steering. Applied GLM/GLMM-based exposure and experience rating to improve loss cost modelling and risk segmentation. Translated analytical results into actionable insights for pricing and underwriting stakeholders. Owned model development, validation, and implementation, including reusable tooling.

Doctoral Researcher

KU Leuven | Insurance Research Group | Oct 2019 - Sep 2023

Developed advanced actuarial pricing frameworks combining credibility theory, GLMs, and mixed models, applied to real-world insurance portfolios (e.g., workers’ compensation). Designed data-driven methods to incorporate and construct hierarchical risk factors into pricing frameworks. Built reusable workflows and tools for model development and validation (incl. CRAN package). Communicated results to technical and non-technical audiences.

Statistical Researcher

KU Leuven | IOTA Group, Department of Development and Regeneration | Feb 2015 - Sep 2018

Statistical modeling across 20+ clinical and methodological research projects. Led development of statistical tools and ensured robust data governance.

Voluntary Research Associate

KU Leuven | Department of Managerial Economics, Strategy and Innovation | Mar 2016 - Apr 2019

Provided statistical consulting to private sector clients on confidential business intelligence projects.

Skills & Expertise

Core Competencies

  • Risk & Modeling: Insurance and reinsurance pricing, Solvency II internal models, Economic capital and multi-line portfolio risk aggregation
  • Pricing & Underwriting: Exposure-based and experience-based pricing, Generalized Linear Models (GLM) and Mixed Models (GLMM), Portfolio steering and pricing adequacy
  • Data & Automation: R, Python, ReMetrica & SAS, Model tooling, Automation and reproducible workflows
  • Decision Support: Model interpretation, Challenge and innovate methodologies, Stakeholder communication

Technical Skills

  • Predictive Modeling: Statistical and machine learning methods, model development and validation
  • Actuarial Science: Internal models, reinsurance pricing, stochastic simulations, risk assessment, pricing models
  • Data Analysis: Statistical inference, hypothesis testing, regression analysis
  • Programming: R & Python (expert), SQL, ReMetrica, SAS
  • Tools & Methods: Credibility models, generalized linear (mixed) models, Extreme Value Theory, clustering algorithms
  • Domain Knowledge: Insurance, reinsurance, biomedical research, fraud detection
  • Soft Skills: Clear communication, stakeholder management, cross-functional collaboration, mentoring

Languages

  • Proficient: English & Dutch
  • Limited: French, German

For a detailed overview of my publications and research contributions, please visit the Publications & Research page. You can also download my CV for more information.

Education

PhD in Actuarial Science
KU Leuven, 2023

MSc in Statistics
KU Leuven, 2019 (Combined with full-time research position at KU Leuven)

MSc in Psychology
KU Leuven, 2014

BSc in Psychology
KU Leuven, 2012