Credit Risk Data Engineer(f/m/d)

Axpo Group; Województwo mazowieckie; Vor Ort; PLN 180.000 - 280.000; Vollzeit

Zusammenfassung

Axpo Poland is seeking a skilled Credit Risk Data Specialist to join the Risk Center. You will develop and maintain credit risk reports and dashboards, and build data solutions that empower Credit Managers to make data-driven decisions.

You will collaborate with Credit, IT and development teams, improve data flows, automate reporting, and explore GenAI for risk applications while ensuring data governance and audit readiness.

Qualifikationen

• University degree in Finance or Economics with quantitative background.
• 4–5 years statistical & financial methods and modelling in credit risk.
• 2 years Databricks experience.
• 4+ years PowerApps, Power Automate, SQL and Python; familiarity with Oracle and PowerBI.
• Expertise in Financial risk management and Credit risk management.
• Strong communication with technical and business stakeholders.
• Structured, independent approach and focus on data quality and process improvement.
• English proficiency required (B2/C1-C2).

Aufgaben

• Develop and maintain credit risk reports and dashboards.
• Build and enhance data solutions to support Credit Managers.
• Improve credit data flows by integrating, validating and standardizing data.
• Increase automation of reporting and data processes using Databricks, Power BI, Power Apps and Power Automate.
• Coordinate between Credit, IT and development teams on requirements and improvements.
• Identify and support testing of GenAI and other digital solutions for Credit Risk.
• Maintain data documentation, governance and audit readiness, and improve related processes.

Kenntnisse

Statistical methods

Financial modelling

Data analysis

Python

SQL

Power BI

Communication skills

Ownership

Ausbildung

University degree in Finance or Economics

Tools

Databricks

Power Apps

Power Automate

Power BI

SQL

Python

Oracle

Jobbeschreibung

Join Axpo Poland and help digitalize Credit Risk management. Build the reports, dashboards and tools that empower data-driven decisions, and bring your technical curiosity to a collaborative, forward-thinking team.

What you will do

• Develop and maintain credit risk reports and dashboards


• Build and enhance data solutions to support Credit Managers in making data-driven decisions


• Improve credit data flows by integrating, validating and standardizing data


• Increase the automation of reporting, data processes and day-to-day tasks using tools such as Databricks, Power BI, Power Apps and Power Automate


• Coordinate between Credit, IT and development teams on requirements and technical improvements to credit risk systems and tools


• Identify and support the testing of GenAI and other digital solutions for Credit Risk


• Maintain data documentation, governance and audit readiness, and continuously improve related processes and policies

What you bring & who you are

• A university degree in Finance, Economics, or another field with a sound quantitative/mathematical background


• Minimum: 4-5 years statistical & financial methods and modelling in credit risk area


• Minimum: 2 years Databricks


• Minimum 4 years PowerApps, Power Automate, SQL, Python; Oracle, powerBI


• Required expertise: Financial risk management and Credit risk management


• Very good communication skills, with confidence engaging both technical teams and business stakeholders


• A structured, independent approach and a strong sense of ownership for data quality and process improvement


• English proficiency is required. B2/C1-C2

About the team

You’ll join the Risk Center team, working closely with the Head Risk Center and colleagues across Credit, IT and trading. We value curiosity, ownership, and a collaborative approach to building smarter, data-driven tools.

At Axpo Group, we are dedicated to fostering a culture of non-discrimination, tolerance, and inclusion. As an equal opportunity employer, we welcome applications regardless of race and ethnicity, gender identity and expression, sexual orientation, age, disability, as well as socioeconomic, cultural, and religious background. We are committed to ensuring a respectful and inclusive recruiting process and workplace for everyone.