Fraud Analyst

Location: Remote (UK)
Duration: 3-Month Contract
Rate: Up to £300 per day (Inside IR35)

We're working with a high-growth FinTech looking to strengthen its Fraud Decision Intelligence capability during a busy period whilst they build out the permanent team.

This is an opportunity to join a data-driven fraud function focused on moving from a reactive to a proactive approach to fraud prevention. You'll work closely with fraud, product and data stakeholders to identify trends, uncover opportunities and improve fraud controls across a payments environment.

Joining the Decision Intelligence team, you'll use data to investigate fraud trends, analyse transaction behaviour and support the optimisation of fraud controls and decisioning strategies.

You'll be expected to work independently, proactively identifying opportunities for improvement and helping shape how fraud is detected and prevented across the business.

Key responsibilities include:

• Analysing fraud and transaction data using SQL
• Identifying emerging fraud trends and risks
• Supporting fraud decisioning and rule optimisation activities
• Investigating control performance and recommending improvements
• Using BI tools to interrogate and visualise data
• Working with stakeholders to translate insights into actionable recommendations
• Supporting a more proactive fraud prevention strategy

We're looking for candidates with:

• Strong SQL skills and experience working with large datasets
• Experience using BI tools such as Looker, Tableau, Power BI or similar
• Previous experience within fraud analytics, fraud strategy, fraud prevention or fraud risk
• Payments, cards or wider FinTech experience
• Experience identifying trends and producing actionable insights
• Strong stakeholder management and communication skills
• Ability to work independently in a fast-paced environment

• Experience with fraud decisioning platforms
• Exposure to fraud rule design, implementation or optimisation
• Python for automation and analysis
• Experience balancing fraud prevention against customer experience and approval rates