Deepen Existing Customer relationships to drive positive customer engagement, improve profitability, and reduce losses
Run credit, pricing and marketing strategies to achieve this goal
Deliver these strategies by using Python/R/SQL, Alteryx and Tableau, to manipulate and analyse data on a day to day basis, working at the cutting edge of analytical and statistical techniques
Promote a test-and-learn approach, constantly challenging existing strategies and processes to find better outcomes
Providing the business with data-based insight and recommendations for changes and improvements, and see those all the way through to implementation on a wide range of things including: limit management, balance transfers, promotional campaigns, and general portfolio management
Utilise big data across multiple sources to enhance our relationships with our customers
Deeply analyse portfolio performance trends to ensure portfolio health is maintained when executing these strategies
Collaborate with other teams like Tech / DataOps / Commercial / Finance / Customer Service / Collections to ensure smooth delivery of strategies and correct outcomes’ forecast
Proactively identify gaps and potential risks in processes to maintain consistent adherence to high-quality standards
Requirements
A degree in a quantitative field like Economics, Mathematics, Statistics, Business or Computer Science
6+ years of experience in an analytical role; Lending or Risk experience is a plus, Credit Card experience a big plus
Extensive experience using SQL to extract and manipulate data, Python is a plus
Strong coding skills, and knowledge of databases including MySQL and AWS desirable
Previous experience of Tableau and/or Alteryx preferable
The ability to prioritise workloads and manage time effectively
The ability to interact and work alongside key stakeholders at all levels across the business with attention to expectation management
Experience in clearly communicating complex analytical insights in a simple manner to diverse audiences, including both technical and non-technical stakeholders
Tech Stack
AWS
MySQL
Python
SQL
Tableau
Benefits
Competitive salary
Pension contributions, including Salary Exchange facility
Annual bonus potential
Private medical cover provided by Vitality (optional benefit)
25 days annual leave (FTE) plus UK bank holidays (with an additional day added for each full calendar year worked, up to a maximum of 30 days)
Your birthday off each year as an additional day's holiday
4x life insurance cover
Access to our confidential Employee assistance programme