Nizar Alaoui

Passionate about risk modeling, data, and finance, I am a freelance actuarial consultant specializing in Solvency II, IFRS 17, and big data management.

I support actuarial, finance, and risk departments in their regulatory reporting, modeling, and process optimization projects.

With experience at La Marocaine Vie, Société Générale Assurance, and SAHAM Assurance, I have developed comprehensive expertise in actuarial modeling, risk management, and data quality.

At La Marocaine Vie, I participated in prudential closings, QRT production, ORSA implementation, and the calculation of SCR and Best Estimate, while contributing to the drafting of the actuarial report and activity monitoring.

At Société Générale Assurance, I automated risk monitoring dashboards, conducted sensitivity analyses and backtesting, and participated in the IFRS 17 review, as well as ALM modeling.

At SAHAM Assurance, I led claims and reserving analyses, built databases, and applied deterministic and stochastic models to improve estimation reliability.

My added value: a dual actuarial & data science skill set, reinforced by solid training (Master's in Actuarial Science and Mathematical Engineering, Master's in Mathematical Modeling).

I use Python, SAS, SQL, Power BI, and advanced Excel to design reliable models, and I implement prediction, machine learning, and deep learning models to solve complex actuarial problems.

Areas of intervention:

Actuarial modeling (pricing, reserving, ALM)

Regulatory reporting (Solvency II, IFRS 17, ORSA)

Data analysis & Data Quality

Machine learning & Deep learning for actuarial science

Reporting automation and visualization

Available for remote or on-site freelance assignments, I deliver reliable, clear, and results-oriented analyses.