• In close collaboration with IT solutions & project teams, participate in the design, implementation and maintenance of the Risk Data Management solution that fully supports risk data aggregation capabilities, sound risk reporting & modelling practices and state-of-the-art data science capabilities!
• Participate in data management initiatives regarding risk data (data quality, data governance, etc.)
• Conduct periodic stress test to identify factors that could potentially negatively impact the risk/reward of the portfolio and propose mitigation actions
• Design, implement and maintain advanced merchant risk predictive models
• Contribute to the development of merchant risk steering and portfolio view
• Automate and handle the merchant portfolio risk reporting covering credit risk, fraud risk, card scheme compliance risk and AML risk
• Works with models related to Risk scoring, stress testing
• Creates analyses for the purpose of portfolio segmentation and clustering
• Fits predictive modelling of future transaction flows and possible risky partners

• Master of Sciences degree in a quantitative field (Statistics, Data Science, Quantitative marketing, Quantitative finance or similar)
• Good knowledge of predictive models and probability/statistics fundamentals such as linear and logistic regression
• Excellent knowledge of machine learning algorithms including classifiers, clustering algorithms, and anomaly detection
• Excellent understanding of relational model for database management and data modeling principles (conceptual/logical data models)
• Working knowledge of either R, Python or SAS for both data manipulation and statistical analysis
• Takes personal ownership, autonomous
• Result oriented and diligent with a strong ability to prioritize work in a fast paced and changing environment
• Learns continuously; seeks out knowledge, ideas and feedback
• Good communication skills for interacting effectively with both business and technical development teams !
• Fluent English
• Experience in the financial services industry a plus

• Hybrid Working Policy
• Gift vouchers on the occasion of Christmas/Easter Holidays
• Private medical services
• 21 vacation days/year
• Referral bonuses for new hires recommended by you
• WFH & Flexible Working Hours
• Full access to the “Learning” platform