Senior Credit Portfolio Manager – Retail Bank

  • Location: Hamburg, Germany
  • Salary: Competitive
  • Organization: Consumer Bank

Our client, leading Consumer Bank is looking for senior Credit Portfolio Manager to be based in Hamburg. 


  • Link product (Cards and Loans)  know-how and analytical capabilities to continuously develop effective portfolio management capabilities in conjunction with Data Analytics
  •  Establish structured portfolio reporting
  •  Establish NPV review process and drive insights out of this
  • Extend/ modify analysis based on observations/ knowledge of data and limitations, and implications of results
  • Prioritization of analytical topics
  •  Provide Portfolio data to support business planning & Stress Testing
  •  Establish forecasting and scenario tools to support business planning & Stress Testing
  • Establish strong monitoring framework to ensure strategies are being tracked and impact is understood
  • Partner with CRO as key contact to support CRO driven initiatives
  • Partner with Commercial to support and drive commercially led initiatives
  • The role will be accountable for pro-actively identifying opportunities, optimising existing programs and ensuring all activities meet corporate return hurdles.
  • Devise efficient design of experiment for testing new strategies
  • Optimize all strategies for specific areas of customer life-cycle from New Customer Acquisitions to Existing Customer Management to Debt Repayment across the portfolio.
  • Present and communicate results to influence senior level stakeholders.
  • Ensure that lessons are learned and learnings are optimised for future projects.


  •  A degree/diploma or equivalent in an analytical/quantitative/business related discipline
  •  Ability to deliver accurate results within tight deadlines
  •  Lateral thinking – find innovative ways to solve analytical problems
  • Business assessment – ability to quickly build an understanding of a business and its core strengths and opportunities
  • Ability to drive insight from that data, assess the commercial / financial impact and recommend action
  •  Proficiency in SAS or equivalent data analysis and statistical tool (R, Python)
  • SQL programming skills on an advanced user level
  • Ideally experience with Big Data technology, ETL processes on relational databases and OLAP analysis
  • Strong interpersonal skills, influencing, and conflict management
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