Fraud Analyst

Fraud and Financial Crime Analyst

Salary
£35,000-£42,000

Location + work pattern
Lancashire | Hybrid working (3 days per week in the office, flexible days)

THE COMPANY • A regulated UK financial services organisation operating within consumer lending and payments.

• A relatively young and fast-growing business, offering the stability of regulation with the agility of a smaller organisation.


• Strong growth ambitions, with increasing partnerships and a focus on data-led decision making.

This role sits within a developing Fraud and Financial Crime team and will focus on first-line fraud strategy, analysis, and reporting. You'll use data to understand fraud trends, assess the effectiveness of controls, and provide insight-driven recommendations.

Specifically, you can expect to be involved in:

• Analysing fraud and financial crime data to identify trends, risks, and emerging threats.


• Building and optimising reporting to monitor fraud performance and control effectiveness.


• Using SQL to extract, manipulate, and analyse large datasets.


• Supporting investigations across external and internal fraud types.


• Contributing to ad hoc analytical and coding projects that improve fraud strategy.

• Experience within fraud, financial crime, credit risk, or lending analytics.


• Strong working knowledge of SQL and confidence discussing your approach to data analysis.


• Understanding of fraud typologies within consumer lending or payments.


• Ability to translate data outputs into clear insights and practical recommendations.


• A proactive mindset, with the confidence to take ownership of workstreams.

• Exposure to a growing fraud and financial crime function with strong visibility across the business.


• End-to-end ownership of analytical work and reporting.


• A collaborative environment with a strong focus on learning and development.


• Hybrid working with flexibility around office days.

• Initial informal interview with senior team members.


• Face-to-face competency-based interview, including technical discussion and SQL-based questions.


• Offer!

Please register your interest via the apply link on this page.

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