ocrolusinc · Remote - IND
Skills: Python, SQL
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, PayPal, 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. Key Responsibilities Design and implement data architecture and data models that optimize data processes and improve efficiency. Build and maintain reliable, scalable data pipelines that keep data available and trustworthy in Snowflake or another database or data warehouse. Write and optimize SQL queries to extract, manipulate, and analyze large datasets for business insights. Use Python to integrate, transform, and automate data workflows. Analyze data to find patterns and root causes, and present findings with clear visualizations (Tableau, Sigma, or similar) that support data-driven decisions. Preferred (Nice to Have) Experience with Snowflake and ELT/orchestration tools (dbt, Airflow), plus Git/CI-CD for analytics code. Data quality, observability, and governance practices, such as validation checks, lineage, and SLAs. Snowflake cost and p…
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