Machine Learning Engineer, Underwriting
FloatMeEarned Wage company
San Antonio, United StatesSenior
Foundry Group
ManchesterStory Group
Active Capital
Samsung Ventures
Ksd Capital
Right Side Capital Management
Data & AI
About the role
TL;DR
Build and own ML models for underwriting and decisioning systems.
- •FloatMe is seeking a Machine Learning Engineer to build and own the models for their underwriting and decisioning systems.
- •This role involves working across the full modeling lifecycle to determine customer approvals, loan amounts, and terms.
- •Key Responsibilities Build, evaluate, and maintain underwriting and decisioning models.
- •Design and evolve underwriting decision frameworks, including modeling, automation, and policy logic.
- •Design and run experiments to evaluate model performance and impact.
- •Develop deep understanding of consumer behavior and repayment dynamics to inform model design.
- •Collaborate with cross-functional teams to ensure underwriting systems align with business goals and regulatory expectations.
- •Requirements Master's degree in a quantitative field; PhD welcomed. 5+ years applying AI, machine learning, or statistical modeling in decisioning contexts.
- •Experience with probabilistic models and decision systems.
- •Strong experimentation skills for evaluating model performance.
- •Experience with model monitoring and retraining strategies in production systems.
- •Deep knowledge of underwriting using bank & cashflow analysis, bureau & alternative data.
Required skills
Pythonscikit-learnMLflowSQLAWSNumPyPandasPyTorchSnowflake
Nice-to-have skills
LookerPower BITableau
Domain expertise
fintech
Tech stack
PythonNumPyPandasscikit-learnPyTorchSQLSnowflakeAWSLookerPower BITableauMLflow