Investigate and resolve fraud cases by analyzing patterns and implementing operational decisions to protect customers. Propose new fraud prevention rules and develop automations using AI to optimize operational efficiency.
Vana
4 Remote Job Openings at Vana
The role involves developing and validating classification models to evaluate credit risk and assign credit scores. It also requires monitoring model performance and collaborating with cross-functional teams to turn data insights into business decisions.
Design, develop, and implement high-quality, scalable backend solutions from conception through deployment. Collaborate within the team to maintain resilient software, participate in agile processes, and mentor junior engineers.
The Data Scientist will focus on fraud prevention by designing and developing models to identify anomalous behavior and suspicious transactions using large datasets. Responsibilities include analyzing transactional data, building and validating classification models, performing feature engineering, and collaborating cross-functionally for model integration and monitoring.
