[Hiring] Senior Business Analyst @Ocrolus Inc.

Role Description

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.

Qualifications

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, or a related field.
• Experience: 4+ years in data analytics, data architecture, and process optimization.
• Analytical strength: Strong analytical and problem-solving skills, with the ability to break down ambiguous business questions, find patterns and root causes in large datasets, and back conclusions with data and visualization.
• SQL: Expert at writing complex queries, tuning query and database performance, and managing large datasets.
• Architecture and modeling: Designed scalable data models and platforms (dimensional, star/snowflake schemas) that handle high data volumes, with sound pipeline management.
• Python: Strong working knowledge for data integration, manipulation, and automation.
• Stakeholder management: Communicates clearly with both technical and non-technical teams.

Requirements

• 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 performance tuning (warehouse sizing, clustering, query profiling).
• AI-driven analytics: hands-on use of LLMs and AI tools (for example Snowflake Cortex or Claude) for text-to-SQL, automated insights, or anomaly detection.

Benefits

• Fast-growing, remote-first company environment.
• Opportunity to grow skills and take ownership of work.
• Make a meaningful impact.

Company Description

We’re a team of builders, thinkers, and problem solvers who care deeply about our mission — and each other. Our culture is grounded in four core values:

• Empathy – Understand and serve with compassion.
• Curiosity – Explore new ideas and question the status quo.
• Humility – Listen, be grounded, and remain open-minded.
• Ownership – Love what you do, work hard, and deliver excellence.

We believe diverse perspectives drive better outcomes. That’s why we’re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic.

We look forward to building the future of lending together.