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Building Credit Risk, Fraud,and Pricing Analytics Teams in Lending and Insurance I The Talent Driving The Data and AI Revolution
SENIOR CREDIT RISK ANALYST
LONDON
This role does not offer sponsorship.
This is an exciting opportunity to join this start-up business and have a significant impact and influence on the future development of the company, as well as grow your career alongside the business
THE COMPANY
This business is one of the UK's newest credit card providers offering fair financial services to the UK market. This business is a FinTech, meaning they are using the most advanced analytical techniques and areincredibly data-driven.
THE ROLE
You can expect to be involved in the following day-to-day:
* Collaborate with the analytical team to support customer credit strategies, commercial goals, and enhance the customer experience.
* Work with cross-functional teams to create, test, and implement retention-focused campaigns. Use data insights to optimise campaign performance.
* Perform segmentation analysis to identify high-value customer groups and tailor strategies to boost engagement.
* Ensure strategies comply with regulations and internal policies, minimising risks related to credit, complaints, and financial outcomes.
* Monitor campaign performance and prepare reports to assess impact on customer behaviour, retention, and financial performance.
* Stay updated on industry trends and customer behaviour to propose solutions that enhance processes and optimise customer initiatives.
YOUR SKILLS AND EXPERIENCE
* Ideally experience working across credit cards.
* Strong coding skills, in python, or SQL.
* Experience building MI.
* Good presentation and data visualisation skills.
* Degree in a STEM subject.
* Excellent written and verbal communication skills.
THE BENEFITS
* A salary of up to £65,000.
* Working in a profitable and growing business - scale-up atmosphere.
* Pension contribution.
HOW TO APPLY
Please register your interest by sending your CV to Gaby Adamis via the Apply link on this page.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Finance
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