Our team will reach out within 24 hours to gather your project requirements, clarify your business objectives, and outline the next steps in our collaboration.
Client
Hayfin is a prominent European investment firm specializing in non-traditional asset classes, including private and liquid credit as well as private equity. They provide tailored financing solutions for corporate borrowers and real asset owners, with operations spanning Europe and North America and a growing footprint in Asia.
Challenge
The client faced a scalable, complex problem that required a platform capable of handling large-scale compute to run deterministic financial models as part of daily ETL workflows, while seamlessly integrating with Azure’s native ETL components.
Solution
DataArt’s team architected financial modeling as an independent ETL component and migrated it to Databricks to enable scalable, modular execution. Every decision was made with Hayfin's release velocity and analyst experience in mind:
- Built modular calculation libraries that integrate seamlessly with ETL and scenario-analysis services to enable independent release management.
- Programmed codebase using PySpark, introducing clear input-output contracts and modern data engineering practices.
- Organized models into maintainable Databricks notebooks and executed them as independent jobs.
- Leveraged Databricks’ compute scalability and REST API to support dynamic execution and custom UI capabilities.
Business Outcomes
Working together, we delivered measurable impact across speed, agility, and analyst productivity:
xfaster model execution, accelerating daily data delivery for key financial processes.
