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, to manipulate and analyse data on a day to day basis
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
Utilise big data across multiple sources to enhance our relationships with our customers
Work closely with colleagues across the Company to provide insightful analytics on ad-hoc queries and deliver a wide range of projects
Requirements
A degree in a quantitative field like Economics, Mathematics, Statistics, Business or Computer Science
1+ years of experience in an analytical role, which could be in sectors different from Financial services; Lending or Risk experience is a bonus, Credit Card experience is a plus
Experience using snowflake to extract and manipulate data
Good coding skills, and knowledge of databases including MySQL and AWS desirable
The ability to prioritise workloads and manage time effectively
Ability to interact and work alongside stakeholders internally and externally to the core team
Benefits
Competitive salary
Potential for part time working around other / family commitments
Pension contributions
Bonus potential
Private medical cover
25 days annual leave (FTE) plus UK bank holidays and your birthday off (with an additional day added for each full calendar year worked, up to a maximum of 30 days)
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