Fraud & Financial Crime Data Insight Analyst

Onmo; England; On-site; GBP 45,000 - 60,000; Full time

Job summary

Onmo is seeking a Fraud & AML Data Analyst to support the Fraud & Financial Crime function with high-quality analysis, reporting and insight. You will identify emerging risks, analyse fraud and AML trends, support rule tuning and provide data to strengthen controls.

This role collaborates with Product, Tech, Credit and Operations to drive data-driven improvements, perform audits, and maintain documentation of analyses and assumptions to ensure robust control environments.

Qualifications

• Proven experience using SQL to extract and analyse data.
• Experience in fraud, AML, risk analytics or financial services preferred.
• Experience building dashboards for reporting and insights.

Responsibilities

• Produce accurate MI, dashboards and KRIs for internal stakeholders.
• Analyse fraud losses, TM alerts, referral trends and emerging risk patterns.
• Support tuning and performance monitoring of fraud and AML systems (Detect, Stripe, iOvation, etc.).
• Conduct deep dives and provide clear, actionable insights to improve fraud and AML controls.
• Prepare data extracts and analysis for audits, CIFAS reviews and regulatory requests.
• Work with Product, Tech, Credit and Operations to support data-driven improvements.
• Maintain documentation of analysis, logic, assumptions and rule recommendations.
• Identify control weaknesses and assist in designing improvements using data insight.
• Work collaboratively with investigators and provide case-handling support during busy periods to maintain service levels.

Skills

SQL

Data analysis

Stakeholder management

Communication

Detail-oriented

Fraud signals

Tools

SQL

Job description

Onmo is seeking a Fraud & AML Data Analyst to support the Fraud & Financial Crime function with high-quality analysis, reporting and insight. You will identify emerging risks, analyse fraud and AML trends, support rule tuning and provide data to strengthen controls.

This role collaborates with Product, Tech, Credit and Operations to drive data-driven improvements, perform audits, and maintain documentation of analyses and assumptions to ensure robust control environments.