Data Analyst for Credit Risk Modeling

About the role

The credit risk data hub is looking for a Data Analyst to join the team in Prague. You will support functional analysts in streamlining and standardising data collection for credit‑risk model validation and help build and maintain a high‑quality historical database.

Key responsibilities

• Support functional analysts in standardising data collection processes and improving data consistency.
• Conduct data investigations for the implementation team and build the historical credit‑risk database.
• Maintain and monitor data quality of all data flows into the database.
• Develop automated straight‑through‑processing solutions for data‑quality monitoring and impact quantification.

Required profile

• Keen eye for detail and passion for data quality.
• Excellent communication skills and ability to adapt style to diverse stakeholders.
• Result‑oriented, deadline‑driven and collaborative mindset.
• Willingness to learn credit‑related business and IT processes.

Required skills

• Python programming (NumPy, pandas, matplotlib).
• Version control with Git.
• Experience with Confluence and Jira (or ability to learn quickly).

What we offer

• Competitive salary package with extensive benefits on bank and insurance products.
• 5 weeks of vacation, Multisport card, life and retirement insurance contributions.
• Flexible work environment and modern office near Radlická metro station.
• Education and development opportunities, mental‑health support, and sports activities.