The Data Science Manager will be responsible for overseeing the entire lifecycle of machine learning models related to credit risk, from their design and implementation to ongoing monitoring. This role involves working closely with interdisciplinary teams to convert business objectives into technical modeling solutions that enhance approval and loss forecasting strategies. Applicants should have a Master’s or PhD in a quantitative discipline and a minimum of five years of experience in predictive modeling, ideally within the fintech or financial services sectors. A strong command of Python, SQL, and machine learning algorithms for structured datasets is crucial, along with a solid background in model risk governance.
Kafene provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
