Head of Fraud & Risk Data Science
SardineFull Time
Senior (5 to 8 years)
Candidates must have experience applying data science to credit risk management and a deep understanding of data science principles. Proven ability to create, deploy, and manage experiments and models in production systems is essential, along with solid software engineering fundamentals and proficiency in the PyData stack. Experience in consumer lending or fintech is a plus.
The Director of Data Science will lead a data science team and cross-functional projects to innovate and improve machine learning models for credit risk decisions. Responsibilities include leading the design, development, and deployment of machine learning models, partnering with business leaders and technical experts to develop new data sources, and improving modeling methodology and risk management.
Provides transparent credit solutions and education
Mission Lane LLC offers credit cards designed to help individuals build or rebuild their credit, particularly those with limited credit history or financial setbacks. Their products feature no hidden fees, no security deposits, and instant approval decisions, making them more accessible than traditional credit cards. The company stands out by providing free access to credit scores and educational resources, helping clients improve their creditworthiness. Mission Lane's goal is to promote responsible credit use by rewarding good financial behavior with higher credit limits over time.