About the job
Kafene is a remote-first company focused on transforming the lease-to-own industry through advanced AI and machine learning. The Senior Manager of Machine Learning Engineering will play a central role in the company’s credit and risk operations, reporting directly to the VP of Risk.
Role overview
This position takes ownership of the entire machine learning model lifecycle for credit risk assessment. The work includes designing, building, deploying, and monitoring models that influence customer approval decisions, set credit limits, predict defaults, and forecast potential losses. Collaboration spans across risk, engineering, finance, and sales teams, with an impact on both technical solutions and business strategy.
Key responsibilities
- Feature Engineering: Analyze internal and external data to identify trends and create features like Debt-to-Income (DTI), Payment-to-Income (PTI), payment behavior patterns, and account balance indicators. These features strengthen the accuracy and predictive power of credit models.
- Model Development: Lead the design and development of strategic machine learning models, including sensitivity models that support credit line assignment strategies and approval amount decisions.
Kafene’s team values collaboration, innovation, and genuine support. The company has been recognized by Built In as a Startup to Watch and by Forbes as one of the Best Startup Employers.
