Freelancer profile translated to English.

Description

Freelance Actuary & Data Scientist

Looking to better leverage your data to optimize your insurance or finance decisions? I can assist you with your pricing, risk modeling, reporting, and data science projects.

With a Master's degree in Actuarial Science and experience at AXA France, I have worked on developing SAS programs, implementing business rules, creating reports, and designing actuarial and statistical models.

✅ What I offer you:

Pricing and premium estimation for life & non-life insurance

Actuarial modeling (GLM, probability of ruin, mortality tables, option pricing)

Portfolio studies, segmentation, and profitability analyses

Automation and optimization of data processing (SAS, R, Python, Excel)

Design of algorithms and predictive models (machine learning, Monte Carlo simulations)

Actuarial reporting and dashboards for strategic management

🚀 My added value: combining actuarial rigor with data science techniques to transform your complex data into clear, reliable, and actionable solutions.

📌 Types of projects I undertake:

Development of actuarial models for pricing and reserving

Design of dashboards and automation of regulatory reporting (Solvency II, IFRS 17)

Statistical studies and simulations to optimize risk management

Business analyses and strategic recommendations

Industry field of expertise

Languages

French
Native or bilingual
English
Conversational

Workplace preferences

Can work on-site

Bordeaux (up to 50km)

Axa France
Actuarial Studies Officer
BANKING AND INSURANCE
September 2023 - September 2024 (1 year)
Nanterre, France
Development and optimization of SAS programs to process contractual data (contracts, policyholders, premiums, liabilities) in civil liability and construction, integration of new business rules, and production of reports and dashboards for management.
Organization of meetings with legal teams and cross-functional teams to validate rules and present results, enabling comprehensive data management and liability reporting to the group.
Design of a program to index guarantees and deductibles, taking into account the impact of inflation, with validation of results in collaboration with the cross-functional team.
Design of a method for estimating premiums for new prospects by identifying similar clients using an algorithm based on Levenshtein distance (Thesis defense).
Reporting SAS Data Analysis RStudio Teamwork
institut de risque et d'assurance (université du mans)
Cross-functional Project – Road Accident Analysis (Data Science / Machine Learning)
BANKING AND INSURANCE
January 2024 - June 2024 (5 months)
Le Mans, France
Collection & cleaning of massive datasets (public, socio-economic, demographic, road accident databases).

Creation of new relevant variables (seasonality, weather conditions, geolocation, time of day).
Implementation of Machine Learning models: logistic and multinomial regressions, PCA for dimensionality reduction.

Hyperparameter optimization with GridSearch and cross-validation.
Development of a road risk score per municipality combining injuries, hospitalizations, and deaths.

Creation of interactive visualizations to analyze the impact of key factors on accident frequency.
Tools: R (ggplot2, caret), RStudio
institut de risque et d'assurance (université du mans)
Non-Life Actuarial Project – Pricing (GLM)
BANKING AND INSURANCE
March 2024 - June 2025 (1 year and 3 months)
Le Mans, France
Modeling of claims frequency for a "water damage" guarantee in home insurance.

Descriptive analysis and exploration of a database with over 1 million records to identify explanatory variables (age, history, type of dwelling).
Use of GLMs to estimate claims frequency and cost.

Segmentation of claims (attritional vs. severe) to refine pricing.
Statistical validation (Fisher tests, QQ-plots, residuals).
Tools: R (glm, MASS)