You will use data driven insights to develop, implement and optimise Existing Customer Management Strategies for Vanquis
Responsibilities:
Develop expert understanding of the customer management lifecycle, including all aspects of decisioning and customer touch points
Support the optimisation of lending decisions through test and learn initiatives to identify champion strategies
Support business growth and portfolio profitability while ensuring a balance between risk, reward and responsible lending, and controlling credit quality and performance
Ensure lending decisions are accurate and appropriate through close tracking and monitoring
Perform inquisitive and innovative analysis and provide logical recommendations resulting in customer and /or business benefits
Deliver complex analytical/data driven projects fully incorporating Customer and business implications throughout
Support the automation of MI and processes to maximise integration, effectiveness and efficiency
Experience required:
Experienced in consumer credit, preferably in the sub-prime or online lending sector
Exceptional quantitative skills including credit analytics
Present, both written and verbal, clear and concise results using aggregated data, highlighting key trends, opportunities/risks and recommendations.
Coding expertise or other transferable skills
Support the testing and delivery of changes to credit strategies, liaising with the relevant departments
Honours Degree or equivalent in a quantitative subject such as Mathematics, Statistics
Minimum of 2 years' experience in an analytical role, preferably in a Credit Risk environment.
Experience of strategy optimisation or scorecard cut-off setting.
Excellent communication skills, written and verbal
Experience working to a high level of detail and accuracy
Knowledge of Retail Consumer Lending products such as Credit cards, Loans, Overdrafts or Mortgages.
Proven ability to effectively plan and organise work effectively and prioritise deadlines whilst working at a fast pace.
Good influencing and communication skills.
Challenges conventional approaches.
Clear, logical and analytical approach to problem solving.
Attention to detail / accuracy focussed.
Coding skills with SAS/SQL/Python or similar software.
Proficient with standard MS Office applications
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