Job
- Level
- Senior
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- 70.000 bis 80.000€ Brutto/Jahr
Job Zusammenfassung
In diesem Job entwickelst du robuste Datenmodelle für Risiko- und Finanzberichte, führst Datenverarbeitungsprozesse ein und automatisierst Abgleiche von Finanzdaten, wobei du eng mit verschiedenen Fachabteilungen zusammenarbeitest.
Job Technologien
Deine Rolle im Team
- 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.
Unsere Erwartungen an dich
Ausbildung
- Degree in Mathematics, Informatics, Natural Sciences or Finance and Economics.
Qualifikationen
- 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.
- Good knowledge of data transformation and data orchestration tools, ideally dbt and airflow.
- Solid understanding of software engineering principles, including version control (Git), CI/CD, and automated testing.
- Very good data visualisation skills, ideally Tableau.
- Banking & Domain Expertise: Understanding how double-entry bookkeeping, credit facilities, on/off-balance-sheet items work. Understanding of Integrated Reporting Frameworks. Familiarity of 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.
- Very strong communication skills, to both technical and non technical members.
- Ability to grasp new business concepts and translate them into technical requirements.
- Very good documentation and knowledge sharing skills.
- 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 prioritisation.
- Ability to mentor and inspire team members.
- Excellent English language skills. German language skills is 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.
Erfahrung
- Minimum 6 years experience in a role of analytics engineer, data analyst or reporting specialist in a fast pace environment and regulated industry.
Unser Angebot
- Home office budget.
- Learning & development budget of €1000 per year and a transparent growth framework to support your career goals.
- Competitive salary and a variable remuneration program.
- Monthly meal allowance.
- Deutschland 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.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
SolarisBank
Wir nutzen die Möglichkeiten von Banking-as-a-Service, um die Hürden für Unternehmen zu beseitigen, die eigene Finanzprodukte anbieten wollen. Unsere proprietäre Banking-as-a-Service-Plattform ermöglicht es jedem Unternehmen, Finanzdienstleistungen in neue Kontexte zu integrieren, die vorher unvorstellbar waren.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Banken, Finanz, Versicherung
Senior Bank Analytics Engineer
- Gehalt
- 70.000 bis 80.000€ Brutto/JahrNetto aus dem Bruttogehalt im Inserat mit Steuerklasse I umgerechnet.42.583 bis 48.049 € netto/Jahr · Steuerklasse I
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
