RESPONSIBILITIES:

• Collaborate with product teams and data science to implement new features into our Cashflow underwriting and Income Verification solutions
• Collaborate with the data science team to productionalize research models; this may include supplementing research-driven models with additional considerations such as unit processing efficiency, batch efficiency, and parallel computing use cases
• Develop tooling and data systems to improve research velocity and outcomes
• Instrument our production systems solutions to increase observability
• Automate model quality controls and processes to drive down development cycle times and drive up model performance
• Maintain and improve several production ML models such as algorithmic calculations, regression models, and classifiers.

YOUR SKILLSET:

• 5+ years of relevant experience, including experience at a high-growth or early-stage startup
• Strong collaboration skills with both internal and external stakeholders to discover requirements and deliver a solution
• Ability (or desire) to work with both JS and Python, as needed
• Preferred, but not required: experience with core parts of our stack; experience in fintech and ETLs

SAMPLE PROJECTS:

• Develop a unified data platform capable of seamlessly processing a high variety of bank data sources
• Develop an event-based system for monitoring consumer-permissioned bank data
• Build an operations dashboard that clearly explains how we verify income
• Develop an experiment pipeline to test product changes against historical data
• Optimize data pipeline latency to shorten time-to-response