
Artificial Intelligence • Finance • Fintech
Ocrolus is a company that provides AI-driven document processing automation with human-in-the-loop. It specializes in streamlining and enhancing the accuracy of financial document analysis and decision-making for various industries, including small business lending, mortgage, consumer, and multifamily sectors. Ocrolus's technology enables lenders to manage risk and avoid fraud by automating document analysis, ensuring compliance, and bolstering security. The company offers intelligent document processing solutions that classify, capture, detect, and analyze data, providing insights into cash flow, income, employment, address, and identity verification. Ocrolus is known for its innovative approach in automating business processes and enhancing back-office efficiency with a focus on making faster and more accurate financial decisions.
201 - 500 employees
🤖 Artificial Intelligence
💸 Finance
💳 Fintech
💰 $80M Series C on 2021-09
October 31

Artificial Intelligence • Finance • Fintech
Ocrolus is a company that provides AI-driven document processing automation with human-in-the-loop. It specializes in streamlining and enhancing the accuracy of financial document analysis and decision-making for various industries, including small business lending, mortgage, consumer, and multifamily sectors. Ocrolus's technology enables lenders to manage risk and avoid fraud by automating document analysis, ensuring compliance, and bolstering security. The company offers intelligent document processing solutions that classify, capture, detect, and analyze data, providing insights into cash flow, income, employment, address, and identity verification. Ocrolus is known for its innovative approach in automating business processes and enhancing back-office efficiency with a focus on making faster and more accurate financial decisions.
201 - 500 employees
🤖 Artificial Intelligence
💸 Finance
💳 Fintech
💰 $80M Series C on 2021-09
• Write and optimize SQL queries to extract, manipulate, and analyze large datasets for business insights. • Build and optimize OLTP & OLAP dashboards for analytical reporting, enabling data-driven decision-making using any visualization tools such as Power BI or Tableau • High level knowledge of Python for data integration, manipulation and automation. • Design and implement data architecture solutions that optimize data processes and improve efficiency. • Create and maintain end-to-end data pipelines from streaming platforms like Kafka to ensure real-time data availability on Snowflake or any other Database/ Data Warehouse • Collaborate with cross-functional teams to gather business requirements and translate them into technical specifications. • Optimize and streamline existing analytics processes to enhance reporting capabilities. • Manage relationships with key stakeholders, understanding their data needs and delivering timely, actionable insights.
• 5 to 9 years of experience in data analytics/engineering, data architecture, and process optimization. • Expertise in SQL: writing complex queries, optimizing database performance, and managing large datasets. • Proficiency in any visualization tool like Power BI or Tableau • High level knowledge of Python for data integration, manipulation and automation. • Experience in building data pipelines from streaming platforms like Kafka and integrating it with Snowflake • Strong experience with data architecture, process optimization, and ETL pipeline management • Demonstrated experience in team leadership and mentoring junior analysts. • Excellent stakeholder management skills with the ability to communicate effectively across technical and non-technical teams.
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development
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