Senior Bank Analytics Engineer

Join our team as a Senior Bank Analytics Engineer, where you will design and implement data models for Risk, Regulatory Reporting, and Finance functions. You will define process steps, manage standardized metrics, automate reconciliation, and contribute to data quality. This role requires advanced data modeling skills, banking expertise, and a strong understanding of software engineering principles. Enjoy benefits such as a learning and development budget, remote working allowance, and additional vacation days.

Responsibilities

• Design and implement robust data models for Risk, Regulatory Reporting, and Finance functions.
• Define process steps and tasks to fulfill CoRep, FinRep, and Liquidity Reporting in collaboration with relevant departments.
• Manage standardized metrics in the form of a semantic layer to serve as single points across reporting and business intelligence.
• Advanced data modelling and data-warehouse development skills
• Strategic thinking and sense of business criticality and prioritisation
• Adaptability and Continuous Learning
• Familiarity of banking standard taxonomies. Knowing how to map database attributes to standardized fields required for COREP or FINREP reporting

Requirements

• 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

• 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

• 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

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

Pay

EUR 70,000 - 80,000