Quick Summary
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.
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.
Responsibilities
~1 min read- →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.
- →Collaborate with cross-functional teams to gather business requirements and translate them into technical specifications.
- →Optimize and streamline existing analytics processes to improve reporting capabilities.
- →Manage relationships with key stakeholders, understand their data needs, and deliver timely, actionable insights.
Nice to Have
~1 min read- 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.
We’re a team of builders, thinkers, and problem solvers who care deeply about our mission — and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact.
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.
Location & Eligibility
About this job
- Who can apply
- India
- Posted
- 3 days ago
Listing Details
- Posted
- October 19, 2026
- First seen
- October 19, 2026
- Last seen
- October 22, 2026
Posting Health
- Days active
- 3
- Repost count
- 1
- Trust Level
- 62%
- Scored at
- October 23, 2026
Signal breakdown
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