Financial Crime Data Analyst

Financial Crime Data Analyst

Location: Hybrid (Manchester)

Salary: £70,000 - £90,000+ + Excellent Benefits

Our client is seeking a Financial Crime Data Analyst to play a key role in enhancing and optimising financial crime controls through data-driven analysis and model development. This is an exciting opportunity for someone with strong analytical skills and experience in financial crime who is passionate about improving customer onboarding and risk detection.

Working closely with Financial Crime, Risk, Compliance and Data teams, you'll focus on developing, refining and monitoring models that support customer onboarding, fraud prevention and AML processes.

You'll be responsible for analysing financial crime data, developing and optimising onboarding models, and using data insights to improve customer risk assessments while ensuring regulatory compliance. This is a highly analytical position where you'll help shape the organisation's financial crime strategy through data and technology.

• Develop, enhance and maintain financial crime models focused on customer onboarding.
• Analyse customer and transactional data to identify financial crime risks and trends.
• Optimise onboarding rules and decisioning models to improve customer experience while maintaining robust controls.
• Monitor model performance and recommend enhancements based on data insights.
• Work closely with Financial Crime, Compliance, Risk and Technology teams to implement model improvements.
• Support AML, KYC, sanctions screening and fraud prevention initiatives through data analysis.
• Produce meaningful MI, dashboards and reporting for key stakeholders.
• Ensure models remain aligned with regulatory requirements and internal risk appetite.
• Support the testing, validation and implementation of new financial crime controls.

• Experience within Financial Crime, AML, Fraud, Risk Analytics or Financial Crime Data Analytics.
• Strong analytical and problem-solving skills with experience working with large datasets.
• Experience developing or optimising models used within customer onboarding, KYC or financial crime decisioning.
• Good understanding of AML, KYC, sanctions and financial crime regulations.
• Experience using SQL and data visualisation/reporting tools (Power BI, Tableau or similar).
• Knowledge of financial crime monitoring and onboarding platforms would be advantageous.
• Excellent stakeholder management and communication skills.
• Experience within banking, fintech or financial services is highly desirable.

• £70,000 - £90,000+ salary depending on experience.
• Hybrid working.
• Opportunity to work on high-profile financial crime and onboarding initiatives.
• Exposure to modern data and analytics technologies.
• A collaborative environment with genuine opportunities for career development.

If you have a passion for financial crime analytics, customer onboarding models, and using data to improve risk decisioning, we'd love to hear from you.