Job
- Level
- Senior
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 70.000 to 80.000€ gross/year
Job Summary
In this role, you design robust data models for risk and financial reporting, implement data processing workflows, and automate financial data reconciliations while collaborating closely with various functions.
Job Technologies
Your role in the team
- Design and implement robust, clean, and reusable data models for the Risk, Regulatory Reporting, and Finance functions that centralize reporting of financial instruments (credit cards, loans, bonds, deposits, etc.) following the BIRD and IReF standards.
- Define process steps and tasks to fulfill 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.
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Our expectations of you
Education
- Degree in Mathematics, Informatics, Natural Sciences or Finance and Economics.
Qualifications
- Advanced data modelling and data-warehouse development skills.
- Knowledgable with data cloud providers and modern data architectures, ideally Snowflake.
- Proficient SQL and Python programming skills.
- Gute Kenntnisse in Data-Transformation- und Data-Orchestration-Tools, idealerweise dbt und airflow.
- Solid understanding of software engineering principles, including version control (Git), CI/CD, and automated testing.
- Sehr gute Datenvisualisierungsfähigkeiten, idealerweise Tableau.
- Banking & Domain Expertise: Understanding how double-entry bookkeeping, credit facilities, on/off-balance-sheet items work. Understanding of Integrated Reporting Frameworks. Familiarity with banking standard taxonomies. Knowing how to map database attributes to standardized fields required for COREP or FINREP reporting. The ability to translate strict regulatory legal phrasing into programmatic logic.
- Sehr gute Kommunikationsfähigkeiten, sowohl gegenüber technischen als auch nicht-technischen Mitgliedern.
- Ability to grasp new business concepts and translate them into technical requirements.
- Sehr gute Dokumentations- und Wissensaustauschfähigkeiten.
- Adaptability and Continuous Learning.
- Strong negotiation, empathy, and the ability to build consensus across different technical backgrounds.
- Strategic thinking and sense of business criticality and prioritization.
- Ability to mentor and inspire team members.
- Excellent English language skills. German language skills are a plus.
- 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.
Experience
- Minimum 6 years of experience in a role as an analytics engineer, data analyst, or reporting specialist in a fast-paced environment and regulated industry.
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What we offer
- Home office budget.
- Learning & development budget of €1000 per year and a transparent growth framework to support your career goals.
- Wettbewerbsfähiges Gehalt und ein variabler Vergütungsplan.
- Monatliche Essenszulage.
- Germany ticket subsidy.
- 28 vacation days, increasing by 2 days after 2 years and 3 days after 3 years with Solaris.
- Opportunity to work abroad for up to 12 weeks per year.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
SolarisBank
We are leveraging the power of Banking-as-a-Service to remove the barriers for companies to offer their own financial products. Our proprietary Banking-as-a-Service platform enables any business to integrate financial services into new contexts that were previously unimaginable.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Banking, Finance, Insurance
Senior Bank Analytics Engineer
- Salary
- 70.000 to 80.000€ gross/yearEstimated net salary based on the gross salary in the job ad using tax class I.42.583 to 48.049 € net/year · Tax class I
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
