KBC Group is looking for a Risk Data Analyst to join its group headquarters team, focusing on credit risk within KBC Group/ČSOB. In this role, you will provide critical information and advisory services to top management and partners, manage portfolio monitoring, and implement regulations while working on significant group-wide changes.

What You'll Do

Create and automate reports for bank management, internal clients, and regulators.
Develop tools for forecasting portfolio structure evolution over time and for stress testing.
Develop and implement concepts and principles of data quality.
Focus on developing and optimizing existing reports and data structures.
Manage and maintain entrusted methodology.
Participate in significant changes within the international financial group.

What We're Looking For

University degree.
At least two years of professional experience in data analysis, data quality, or business intelligence.
Knowledge of SQL and analytical tools SAS or Python.
Basic orientation in credit products, banking regulation, and accounting.
Very good knowledge of English, both spoken and written, and the ability to express oneself clearly.
Ability to communicate effectively, present, and defend one's own opinion.
Analytical thinking.
Independence and creativity.
Willingness to learn new things.

Nice to Have

Experience in banking or finance.

Technical Stack

SQL
SAS
Python

Team & Environment

You will join a small, dynamic team at the group headquarters.

Benefits & Compensation

5 weeks of vacation
Multisport card
Contribution to life and pension insurance
7 days off
E-meal vouchers worth 170 CZK/day
Discounted products and financial services
Flexible working environment
Cafeteria with 12,000 points/year
Personal and professional development across the group
Mental health care
Program for parents /55+ /OZP,OZZ
Sports activities - Bank games and others

Work Mode

This role follows a hybrid work model and is located in Prague, Czech Republic.

KBC Group is an equal opportunity employer with a culture focused on the client, cooperation and tolerance, effectiveness driven by data, and adaptability through continuous learning.