🕒 2 days ago
Design and scale reliable data infrastructure, ingestion flows, and self-service tooling that power analytics, machine learning, and product workflows, while setting architecture, improving operations, and mentoring engineers.
Credit Risk Data Engineer(f/m/d)
🕒 yesterday
Credit Risk ManagementFinancial Risk ManagementStatistical MethodsFinancial Modelling
📜 Description
- Develop and maintain credit risk reports and dashboards.
- Build data solutions that help Credit Managers make data-driven decisions.
- Integrate, validate, and standardize credit data flows.
- Automate reporting and day-to-day data processes using Databricks, Power BI, Power Apps, and Power Automate.
- Coordinate requirements and technical improvements across Credit, IT, and development teams.
- Support testing of GenAI and other digital solutions, and maintain data documentation, governance, and audit readiness.
🛠️ Requirements
- 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
Full job description
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.
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