Professional Profile

Senior actuarial and risk professional with 10+ years of experience in applied risk and predictive modeling across insurance, reinsurance, and biomedical settings. I combine deep technical expertise with a background in psychology, enabling structured judgement, clear communication, and effective collaboration across technical and non-technical stakeholders. Experienced in translating complex risk insights into decision-relevant input in an international environment.

Work Experience

Senior Actuarial and Risk Analyst

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

I drive the development and implementation of the Solvency II internal model for multi-line external reinsurance operations. Additionally, I communicate with stakeholders across business and technical teams while collaborating to divide tasks and deliver robust technical solutions. Using stochastic modeling, I quantify portfolio risk and support reinsurance structuring and capital optimization.

Key Responsibilities:

  • Drive the development and implementation of Solvency II internal models for multi-line external reinsurance, supporting capital and tail risk evaluation.
  • Provide capital modeling analyses supporting reinsurance structuring and capital allocation decisions.
  • Critically assess and improve modeling methodologies, develop and validate alternative modeling approaches.
  • Lead automation and tooling for internal model runs, testing, and validation.
  • Support evaluation and interpretation of model outcomes for stakeholders.

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

Transformed complex business challenges into strategic data science solutions through stakeholder management and cross-functional collaboration. Redesigned pricing models, now operational for premium calculation, enhancing accuracy and decision-making. Established best practices for code quality and model governance, provided guidance to pricing actuaries on model development, implementation, and analytical methodology.

Doctoral Researcher

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

Conducted research on advanced predictive modeling techniques in actuarial science, bridging academic research with industry challenges. Led the design, development, and deployment of pricing models, including models now used to determine premiums and support underwriting and portfolio steering, and developed innovative fraud detection systems using social network analysis and machine learning. Applied analytics to solve complex business problems, while managing stakeholder engagement and communicating technical findings to both academic and business audiences.

Statistical Researcher

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

Contributed to leading international biomedical research, managing statistical analysis for 20+ clinical research projects. Took ownership of data governance and quality assurance while developing and maintaining statistical software tools. Conducted methodological research advancing the field, with expertise in clinical prediction models, performance evaluation, and novel statistical techniques.

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

  • 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: Predictive modeling, statistical inference, 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

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

If you are interested in my publications and research contributions, please visit the Publications & Research page. You can also download my CV for more information about my professional experience and skills.