Fraud & AML Data Analyst: Insights & Risk Shield

ONMO

Greater London

On-site

GBP 42,000 - 62,000

Full time

4 days ago
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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 help identify emerging risks, analyse fraud and AML trends, support rule tuning, and provide the data needed to strengthen our fraud and FC controls.

This role is key in helping the team make informed decisions, reduce losses, and improve our overall detection capability.

Qualifications

  • Proven experience using SQL to extract and analyse data.
  • Experience in fraud, AML, risk analytics or financial services preferred.
  • Experience building dashboards.
  • Understanding of fraud signals, risk scoring, TM alerts or AML trends is desirable.

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

Strong analytical mindset
SQL
Stakeholder communication
Attention to detail
Fraud/AML knowledge desirable

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 help identify emerging risks, analyse fraud and AML trends, support rule tuning, and provide the data needed to strengthen our fraud and FC controls.

This role is key in helping the team make informed decisions, reduce losses, and improve our overall detection capability.

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