Credit Risk Data Engineer: Data-Driven Risk Tools

Axpo Group; Warszawa; Vor Ort; PLN 180.000 - 240.000; Vollzeit

Zusammenfassung

Axpo Group in Poland is hiring a data-driven Credit Risk Reporting Specialist to develop dashboards and data solutions that empower risk-aware decisions. You will collaborate with Credit, IT and trading teams to improve data flows, automate reporting, and test GenAI/ digital solutions while maintaining governance and audit readiness.

The role requires a university degree in a quantitative field, 4–5 years in credit risk modelling, and hands-on experience with Databricks, Python, SQL, and Power

Qualifikationen

• University degree in Finance, Economics or related quantitative field.
• 4–5 years in statistical and financial methods for credit risk.
• At least 2 years of Databricks experience.
• 4+ years in PowerApps, Power Automate, SQL, Python; Oracle and Power BI skills.
• Strong communication with technical and business stakeholders; English proficiency (B2/C1).

Aufgaben

• Develop and maintain credit risk reports and dashboards.
• Build data solutions to support data-driven decisions by Credit Managers.
• Improve data flows by integration, validation and standardization.
• Increase automation using Databricks, Power BI, Power Apps and Power Automate.
• Coordinate between Credit, IT and development teams; support testing for GenAI and digital solutions.
• Maintain data documentation, governance and audit readiness; improve processes and policies.

Kenntnisse

Quantitative thinking

Data storytelling

Stakeholder communication

Ausbildung

Finance or Economics degree

Tools

Databricks

Power BI

Power Apps

Power Automate

SQL

Python

Oracle

Jobbeschreibung

Axpo Group in Poland is hiring a data-driven Credit Risk Reporting Specialist to develop dashboards and data solutions that empower risk-aware decisions. You will collaborate with Credit, IT and trading teams to improve data flows, automate reporting, and test GenAI/ digital solutions while maintaining governance and audit readiness.

The role requires a university degree in a quantitative field, 4–5 years in credit risk modelling, and hands-on experience with Databricks, Python, SQL, and Power