Intermediate Data Science| Anti-Fraud

Develop Machine Learning models for fraud prevention and abusive behavior detection. Build Behavioral Risk Scoring algorithms using behavioral, transactional, and contextual signals. Design intelligent blocking rules and automated decision strategies to reduce fraud without compromising the experience of legitimate users. Continuously monitor the performance of deployed models and fraud rules.

Experience applying Data Science to solve complex business problems. Hands-on experience deploying and maintaining Machine Learning models in production environments. Advanced proficiency in Python and SQL. Strong knowledge of supervised and unsupervised learning algorithms.

Performance based bonus, attendance bonus, private pension plan, meal allowance, health, dental, and life insurance, and childcare subsidies.