Must have

• Data engineering

• finance

• business

• datamanagement

• API architectures

• KYC/AML compliance

• governance frameworks

• German

Requirements description

Your qualifications and experience:

• University degree in Business, IT, Finance or a related field.
• Proficiency in German (minimum level C1) is a must.
• Proven experience in building and optimizing data management processes (ideally from the ground up).
• Strong understanding of user management, API architectures, and KYC/AML compliance.
• Previous experience in the finance or fintech sector.
• Familiarity with data governance frameworks and quality standards.
• Demonstrated success in process improvement initiatives.

Your strengths:

• Strong analytical mindset with attention to detail.
• Ability to structure and communicate complex topics clearly.
• Excellent communication skills in interdisciplinary environments (Product, IT, Compliance).
• High degree of ownership, hands-on mentality, and innovation drive.
• Structured and pragmatic work approach—even under time pressure.
• Join us to shape the data-driven financial infrastructure of tomorrow.

Offer description

Contract

CoE or B2B

Why us?

• A competitive salary.
• Flexible working hours and the opportunity to work remotely.
• The chance to work in an innovative fintech startup.
• Professional growth and development opportunities.
• A collaborative and innovative work environment.
• Wellfitpass.

Your responsibilities

1. Your mission and responsibilities:
2. Roadmap Planning & Prioritization: Own and shape the product roadmap in alignment with internal stakeholders and regulatory requirements. Plan and coordinate implementation with software development and cross-functional teams.
3. End-to-End Onboarding & Master Data Processes: Design and implement seamless onboarding processes for retail and corporate clients, integrating AI-based validation, risk-driven workflows, and auditable process chains—from initial contact to data capture and activation.
4. KYC & Compliance Framework: Develop and continuously refine all KYC/AML-related process components, fully integrated across all front- and backend systems.
5. Data Requirements & Quality Assurance: Define and validate all necessary data points including data quality management, completeness checks, and consistency rules.
6. User Authentication & Access Control: Design secure, scalable authentication and authorization systems—for example, for complex corporate structures, pricing and risk models, and role-based access controls.

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