Business Analyst

Risk Modelling Data Analyst

Employeur confidentiel

Extract, clean, process datasets for credit risk modelling; perform EDA and operational risk data analytics; test machine‑learning models and feature engineering; provide ad‑hoc analytics, risk mitigation strategies and visualisations.

Risk Management Analyst – Private Banking

Employeur confidentiel

Produce risk reports and dashboards for Private Banking; automate and develop new tools and reports; perform internal risk controls assessment and governance procedures; review risk results, KRI, KPI and monitor risk exposure; report on product performance.

Data & Management Control Analyst

Employeur confidentiel

Conduct profitability analyses, anticipate financial deviations, define corrective actions; coordinate compliance business continuity plan, perform data audit tests and due diligence; prepare annual budget, monthly forecasts and variance analysis; monitor and report bank financial performance; participate in data reporting tool enhancements.

Quantitative Risk Analyst and Research Assistant

Employeur confidentiel

Develop models to quantify, measure, and manage risk within investment strategies or portfolio.

Operational Risk Management Analyst (Intern)

Employeur confidentiel

Develop and analyse operational risk diversification models; support ORSA process; analyse operational risk incidents and maintain event database; monitor risk‑adjusted profitability and reporting aligned with regulatory frameworks; conduct quantitative portfolio analysis compliant with IFRS 17, IFRS 4 and Solvency II.

Bac +5

University of Luxembourg

Master’s degree in Quantitative Finance and Economics Grade: B+. Relevant courses: Financial Theory, Empirical analysis, Risk Management, Econometrics, Machine Learning, Macroeconomics.

Bac +5

University of Luxembourg

Master’s degree in Financial Mathematics Grade: B+. Relevant courses: Statistics, Numerical methods in Finance, Data Science, Financial analysis, Risk management.

Bac +3

University of Bamenda

Bachelor degree in Applied Mathematics and Statistics Grade: B+. Relevant courses: Algebra and analysis, Computational finance, Data analysis, Optimization, Econometrics.