SMB Analytics & Data Science Lead

New York, United States

Come build at the intersection of AI and fintech. At Ocrolus, we’re on a mission to help lenders automate workflows with confidence—streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.

Our AI workflow and analytics platform for lenders is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to credit—ultimately creating a more inclusive financial system.

Trusted by more than 400 customers—including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, Pay Pal, Plaid, SoFi, and Square—Ocrolus stands at the forefront of AI innovation in fintech. Join us, and help redefine how the world’s most innovative lenders do business.

The Small Business team at Ocrolus uses our massive and unique dataset of cash flow, credit, and financial data from the market’s most sophisticated lenders to build high-quality data products empowering lenders to make better credit, fraud, and operational risk decisions. This role will lead our efforts to mine internal, client, and partner data for unique insights and develop data products, predictive models, and analytical tools that leverage the power of the Ocrolus network.

You will analyze large and unique datasets, interact as a subject matter expert with clients and prospects, and work with excellent colleagues in product, engineering, and revenue to bring transformational data products to market. If you are a curious, high-agency analytics leader who wants to leverage your experience in SMB credit risk and strong technical skills to drive outsize impact, we want to talk to you!

• Analyze large, diverse, and unique datasets around business cash flow, financial health, credit, marketplace dynamics, and repayment performance to unearth powerful insights and identify compelling product opportunities.
• Partner with Product, Engineering, senior management, and other stakeholders to develop and commercialize analytical and data products that will drive impact for our clients and gain adoption in the market.
• Lead Ocrolus’ analytical and data science efforts to research and develop new data and decisioning products, including mentoring colleagues from a business and technical standpoint.
• Interact with clients and prospects as a subject matter expert on small business credit and the Ocrolus suite of analytics and decisioning products.
• Develop robust, scalable, and efficient models, thoughtfully balancing algorithmic complexity against interpretability, customer needs, and delivery timelines.
• Translate ambiguous business challenges into well-defined data science problems
• Own the end-to-end lifecycle of data science models, from data exploration and feature engineering to deployment, monitoring, and continuous improvement in production
• Examples of SMB analytics initiatives include: using agentic pipelines to enhance transaction classification, training gradient boosting trees to predict loan default probability and loss-given-default based on transactional cash flow data, building entity resolution systems to match financial data across time with a specific merchant, mining massive internal and partner datasets to build agentic fraud detection systems, resolving data signals from across the…