Risk Manager

As a full-time Risk Manager focused on Collections, the successful candidate will leverage complex data sources and machine learning to optimize credit and fraud risk strategies, collaborating with technology and senior leadership in a hybrid work environment. Key responsibilities Perform quantitative analyses and machine learning modeling to identify root causes and business opportunities Design and manage A/B tests and pilot programs to evaluate new strategies, ensuring effective implementation and performance tracking Build and maintain dashboards for real-time monitoring of strategy performance across key metrics Required qualifications Master's degree in a quantitative discipline such as Statistics, Economics, or Data Science Minimum 2 years of experience in an analytical function within the financial industry, preferably in credit risk strategy or collections High proficiency in business reporting and analytical tools like Power BI and Tableau Strong skills in Python, SQL, SAS, or similar data mining and analytical tools Experience in extracting insights from data analysis and providing clear recommendations in the financial services sector