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Senior Business Analyst - Consumer Risk Platform

New

Job

  • Level
    Senior
  • Location
    Berlin
  • Working Model
    Hybrid, Onsite
  • Job Field
    Data, Project
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment

Job Summary

In this role, you will shape the Consumer Risk Platform by analyzing complex risks, translating requirements into scalable solutions, and leading cross-functional projects from analysis to implementation.

Job Technologies

Your role in the team

  • As a Senior Business Analyst in our Product team, you will shape and deliver our Consumer Risk Platform, the core capability behind real-time credit decisioning, fraud prevention, and customer risk assessment in our BNPL and checkout products.
  • You will work at the intersection of Product, Risk, Data Science, Compliance, and Engineering, turning complex risk and regulatory requirements into scalable platform solutions.
  • Leads business analysis for complex, cross-functional initiatives, from discovery to delivery and post-implementation evaluation.
  • Act as a domain expert for customer risk, fraud prevention, and underwriting, and proactively identify opportunities for optimization and innovation.
  • Break down large initiatives into epics and user stories, aligned with architectural principles.
  • Define acceptance criteria, support testing strategies, and validate complex business logic.
  • Own and refine business and system requirements across our risk platform landscape, including workflow engines, decision engines, data platforms, and third-party integrations.
  • Assess the impact of regulatory and risk changes (e.g., BaFin or EU requirements) on systems, processes, and customer journeys.
  • Partner with product leadership, engineering, and data science to influence roadmap decisions.
  • Mentor junior analysts and help improve our analysis frameworks and ways of working.

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Our expectations of you

Education

  • Degree in Business Informatics, Computer Science, Economics, or a comparable field.
  • A high degree of ownership and autonomy.

Qualifications

  • Strong domain expertise in risk, fraud, or payment processing systems.
  • Ability to translate business needs into scalable system designs, including APIs, workflows, and data models.
  • Excellent analytical, problem-solving, and communication skills, with the ability to engage technical and non-technical audiences.
  • Fluent English; German is a plus.
  • Vertrautheit mit Betrugserkennungssystemen und regel- oder ML-basierte Entscheidungssysteme.

Experience

  • 5+ Jahre Erfahrung als Technical Business Analyst (oder ähnlich) im Bereich FinTech, Payments oder Finanzdienstleistungen.
  • Proven experience leading complex initiatives and influencing cross-functional stakeholders.
  • Deep experience in agile environments (Scrum/Kanban), including backlog ownership and refinement.
  • Experience with BNPL, consumer finance, or credit risk decisioning systems.
  • Hands-on experience with SQL, Python, Databricks, or Power BI.

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What we offer

  • Join our team at our location in Berlin - hybrid working conditions available.

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Benefits

Health, Fitness & Fun

Work-Life-Integration

Topics You Will Work On

Job Locations

  • Location Berlin

    Germany

About Your Employer

NORDDEICH TV Produktions-GmbH

NORDDEICH TV Produktions-GmbH

NORDDEICH TV, a 100% subsidiary of Mediengruppe RTL Deutschland, produces high-quality programs for the group's channels. In addition to developing its own original ideas, NORDDEICH TV also acquires format rights from abroad and adapts them to German viewing habits. This way, viewers always have access to the latest content and topics from different cultures, tailored specifically for the German audience – persuasive, informative, and entertaining.

Description

  • Company Size
    1-49 Employees
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Media, Publishing
Logo NORDDEICH TV Produktions-GmbH

Senior Business Analyst - Consumer Risk Platform

Location
Berlin
Working Model
Hybrid, Onsite
Diversity
Open for all genders

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