6+ years in fraud/risk engineering, data engineering for fraud, or technical fraud/risk analytics.
Hands-on experience designing or maintaining fraud/AML rules engines, transaction monitoring systems, or risk scoring pipelines.
Strong SQL skills and familiarity with distributed data systems (Snowflake, BigQuery, Redshift, or similar).
Understanding of event-driven architectures, stream processing, and real-time detection (Kafka, Pub/Sub, Flink, etc.).
Ability to work with engineering teams on API flows, backend logic, and alerting infrastructure.
Deep understanding of fraud typologies (card fraud, account takeover, mule activity, merchant fraud, synthetic IDs).
Good understanding of AML detection logic (structuring, layering, suspicious patterns, velocity signals).
Experience interpreting model outputs and integrating risk signals into systems.
Experience managing technical teams (analysts, engineers, or hybrid profiles).
Ability to convert complex detection problems into clear engineering requirements.
Strong communication skills for working with engineers, data scientists, and risk leadership.

Benefits

We trust you, so we offer flexible working hours, as long it suits both you and your team;
Physical and mental health support through our partnership with GymPass giving free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, digital fitness and nutrition apps;
Our company offers extended and improved maternity and paternity leave choices, giving employees more flexibility and support;
Cycle-to-Work Scheme;
Health and Life Insurance;
Pension Scheme;
25 days of Annual Leave (+ Bank Holidays);
Office snacks every day;
Friendly, comfortable and informal office environment in Central London.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

SQLfraud/AML rules enginestransaction monitoring systemsrisk scoring pipelinesevent-driven architecturesstream processingreal-time detectionAPI flowsbackend logicalerting infrastructure

Soft skills

leadershipteam managementcommunication