Lead Data Scientist, Python & ML

- Utilize business and product knowledge to thoroughly analyze extensive datasets to enhance risk-adjusted returns and drive profitable growth. - Interpret analytical findings to devise, propose, and implement strategies that refine lending decisions, help manage risk, boost revenues, decrease loss exposure, achieve business objectives, and enhance performance. - Set benchmarks for strategies and monitor actual outcomes against expectations. - Employ predictive modeling, third-party data, and analytical methodologies to uncover fraud trends. - Conduct continuous analysis of fraud patterns and emerging schemes through routine monitoring, trend evaluations, and in-depth investigations. - Design and execute fraud monitoring protocols for new products and features, ensuring timely coverage, comprehensive risk assessments, and alignment with organizational fraud frameworks. - Streamline and enhance existing fraud monitoring processes by refining alert logic, reducing false positives, and increasing efficiency through automation and standardization. - Collaborate with cross-functional teams to develop and improve advanced pattern recognition solutions and countermeasures. - Engage closely with offshore contractors and development teams to enhance current controls. - Coordinate with other domain teams for integrated monitoring and incident response.