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PAPayPal

Manager, Data Science(m/w/x)

Berlin
Full-timeWith Home OfficeManagement
AI/ML
Data Science

Building advanced data science models for payments risk and oversight at a global fintech. 5+ years in payments/fintech, with SEPA schemes experience preferred. Generous PTO, family healthcare coverage, financial security resources.

Requirements

  • 5+ years relevant experience and Bachelor's degree or equivalent education/experience
  • 5+ years in payments/fintech/financial services
  • Proven experience in payments risk, oversight, or financial operations
  • Experience with SEPA schemes and European payments ecosystem preferred
  • Experience building dashboards, data pipelines, and scalable analytics solutions
  • Familiarity with cloud data platforms (e.g., BigQuery) is a plus
  • Highly analytical with strong problem-solving and data storytelling skills
  • Comfortable navigating ambiguity and complex, cross-functional environments
  • Strong ownership mindset with ability to independently drive initiatives
  • Effective communicator with ability to influence stakeholders using data

Tasks

  • Design and implement advanced data science models
  • Work with stakeholders to understand requirements
  • Deliver data science solutions
  • Drive best practices in data science
  • Ensure data quality
  • Mentor junior data scientists
  • Lead and manage data science projects
  • Ensure timely project delivery
  • Align projects with business goals
  • Develop and maintain data models
  • Create algorithms and reporting systems
  • Support data analysis and decision-making
  • Analyze complex datasets for trends and insights
  • Collaborate with cross-functional teams
  • Provide actionable insights
  • Conduct regular data audits and validation
  • Lead hands-on analysis using SQL, Python, and BI tools
  • Design and build scalable dashboards
  • Monitor payments risk
  • Develop and own KRIs/KPIs frameworks
  • Ensure data integrity and consistency
  • Align with governance standards
  • Conduct deep-dive analyses
  • Identify anomalies and risks
  • Perform root cause analysis on payment issues
  • Quantify risk exposure
  • Assess impact using transaction-level data
  • Surface and escalate key risk insights
  • Develop expertise in PayPal payments
  • Analyze SEPA data for trends and risks
  • Extend analytics to other payment methods
  • Support data-driven engagement with partners
  • Contribute to risk governance activities
  • Drive risk reporting and dashboards
  • Participate in governance forums and risk reviews
  • Conduct thematic analyses and control assessments
  • Identify control gaps
  • Drive data-backed recommendations for remediation
  • Validate fixes with first-line teams
  • Ensure sustainable issue resolution
  • Enhance risk monitoring frameworks
  • Improve analytics-driven oversight capabilities

Work Experience

  • 5 years

Education

  • Bachelor's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • SQL
  • Python
  • Tableau
  • Power BI
  • Looker
  • BigQuery

Benefits

More Vacation Days

  • Generous paid time off

Healthcare & Fitness

  • Healthcare coverage for you and your family

Other Benefits

  • Financial security resources

Mental Health Support

  • Mental health support
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of PayPal and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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