• Design and implement robust, clean and reusable data models for the Risk, Regulatory Reporting and Finance functions that centralise reporting of financial instruments (credit cards, loans, bonds, deposits etc.) following the BIRD and IReF standards
• Define process steps and tasks to fulfil CoRep(Credit Risk, Market Risk, Operational Risk), FinRep (BS, income statements using IFRS and HGB), Liquidity Reporting (LCR, NSFR) in close collaboration with Risk, Regulatory Reporting and Finance functions and guide the departments towards better data coverage for informed business decisions and critical reporting
• Manage standardised metrics in the form of a semantic layer to serve as single points across reporting, data exploration and business intelligence
• Reconciliation Automation: Build scheduled matching programs to cross-verify the bank’s internal ledgers
• Implement and maintain efficient incremental loading strategies to manage high-volume, time-series financial data
• Contribute towards the common data quality framework by applying patterns and tests
• Constantly document the processes and technologies and enable knowledge sharing

Benefits

• Learning & development budget
• Remote working allowance
• Free online yoga
• Referral program
• Mental healthcare service
• Public transport allowance
• Partial lunch reimbursement
• Additional vacation days
• Glasses for laptop work
• Fruits and drinks at the office
• Volunteering days

• Advanced data modelling and data-warehouse development skills
• Comfortable working with AI tools, thinking critically about AI outputs, and contributing to a culture of responsible AI use. We expect you to demonstrate comfort with AI-assisted workflows and a willingness to continuously develop their AI capabilities as the technology evolves
• Banking & Domain Expertise:
• Strategic thinking and sense of business criticality and prioritisation
• Minimum 6 years experience in a role of analytics engineer, data analyst or reporting specialist in a fast pace environment and regulated industry
• Solid understanding of software engineering principles, including version control (Git), CI/CD, and automated testing
• Degree in Mathematics, Informatics, Natural Sciences or Finance and Economics
• Understanding of Integrated Reporting Frameworks
• Adaptability and Continuous Learning
• Ability to grasp new business concepts and translate them into technical requirements
• Good knowledge of data transformation and data orchestration tools, ideally dbt and airflow
• Familiarity of banking standard taxonomies. Knowing how to map database attributes to standardized fields required for COREP or FINREP reporting
• Ability to mentor and inspire team members
• Strong negotiation, empathy, and the ability to build consensus across different technical backgrounds
• Understanding how double-entry bookkeeping, credit facilities, on/off-balance-sheet items work
• The ability to translate strict regulatory legal phrasing into programmatic logic
• Excellent English language skills. German language skills is a plus
• Knowledgable with data cloud providers and modern data architectures, ideally Snowflake
• Very good documentation and knowledge sharing skills
• Very good data visualisation skills, ideally Tableau
• Proficient SQL and Python programming skills
• Very strong communication skills, to both technical and non technical members