(Senior) Data Manager - Corporate

Lloyd's
Berlin, Germany
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
Dutch, English, German
Experience level
Senior

Job location

Remote
Berlin, Germany

Tech stack

Microsoft Excel
Data Governance
ETL
Data Warehousing
Python
Power BI
SQL Databases
Tableau
Data Processing
Data Ingestion
Data Management

Job description

We're looking for a (Senior) Data Manager to join our Corporate Lending Programme during an exciting growth phase. You'll be the central data contact, owning the data workstream end to end. The role combines hands-on data analysis and reporting with growing responsibility for data governance, documentation of Critical Data Elements (CDEs), and data quality oversight. You will be building a robust data management framework that supports risk quantification, reporting, and compliance with regulations like IFRS 9 and BCBS 239. If you thrive in dynamic projects and want to build data capabilities from the ground up, this is your opportunity to make a real impact. Work as part of our Corporate Business Development team in Berlin or Amsterdam. Data Office & Stakeholder Engagement: Act as the main data contact for the Corporate Lending Programme and collaborate with Risk, Finance, IT, Treasury, and Lending teams to align data initiatives with business needs. Portfolio Implementation & Change

Requirements

Management: Lead data ingestion for the new corporate lending portfolio, ensuring readiness for go-live and driving continuous improvement during BAU operations. Data Management & Governance: Design and implement a robust data framework and governance structure aligned with regulatory standards (BCBS 239, IFRS 9) and Group policies. Risk Data & Quality Assurance: Deliver accurate data for risk reporting and regulatory submissions, while managing data remediation and quality assurance. Process Optimization & Data Culture: Promote data literacy and implement automation and efficiency improvements in data handling and reporting. Education: Master's degree in Finance, Economics, Data Science or similar; certifications in data or risk management are a plus. Experience: +5 years in data management within financial services, ideally with lending or credit risk exposure. Technical Skills: SQL, Python, BI tools (Power BI, Tableau); experience with ETL and data warehousing is an advantage. Knowledge: Credit risk models (IRB, IFRS 9) and regulatory frameworks (BCBS 239); corporate lending knowledge is a plus. Core Competencies: Strong analytical and problem-solving skills with attention to detail. Effective communicator and stakeholder manager. Organized, proactive, and comfortable in both project and BAU environments. Excel lent English; German or Dutch is a plus. An international team with colleagues from more than 50 different countries Social benefits such as a company pension scheme and capital formation contributions 30 days holiday as well as 24 and 31 December as non-working days Employee Assistance Programme - personal 24/7 helpline for all employees Various possibilities for flexible working, i.a. various part-time models, flexitime Extensive, very flexible home office arrangements Possibility to work from other EU countries for up to 30 days per year Additional benefits such as sports activities, free fruit, nuts and drinks Employer contributions to

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