Technical AML / Fraud Lead

Full job description
Since 2015, we’ve backed entrepreneurs with over £13bn in funding, helping create 56,000+ jobs and 34,000+ new homes across the UK and US. We’re dedicated to helping trailblazing businesses thrive, and our Financial Crime team is integral to that mission.
This is a fantastic opportunity to join a fast-paced, growing bank with a reputation for doing things differently. We don’t want another cog in the machine—we’re looking for self-starters and bold thinkers who want to pave their own career paths and are passionate about building and protecting the financial infrastructure that powers the UK’s best and brightest businesses.
In a nutshell, the mission of a Technical AML / Fraud Lead is to spearhead the development and optimisation of rule-based fraud detection systems—primarily in Feedzai—by designing scalable, proactive, and data-driven frameworks that secure the bank while enabling growth.
Are you ready to step up to the challenge?
Responsibilities:
Own the design, configuration, and optimisation of the Feedzai fraud prevention platform, tailoring it to meet OakNorth’s strategic needs.
Collaborate cross-functionally with Compliance, Engineering, and Operations to ensure robust AML, Sanctions, and Fraud mitigation strategies are embedded bank-wide.
Lead the creation of a new methodology for building and testing rulesets across AML, Sanctions and Fraud transaction monitoring systems.
Zero-base our rules engine to support scale, efficiency, and agility—your work will help us grow and reduce risk at the same time.
Identify inefficiencies and propose scalable improvements across current AML Sanctions and Fraud detection logic.
Assess existing toolsets and proactively identify opportunities for improvement in financial crime prevention architecture.
Build and evolve the Management Information (MI) Framework to ensure real-time visibility and continuous improvement of fraud risk metrics.
Upskill and mentor colleagues to expand technical capabilities and fraud detection best practices across the team.
Leverage GenAI tools to increase productivity and enhance rule design, simulation, and decision-making processes.
Requirements:
5–7 years of experience in Fraud, AML, and Sanctions transaction monitoring within financial services.
Hands-on experience configuring Feedzai or equivalent AML, Fraud and Sanctions Transaction Monitoring and Payment Screening tools in a business banking setting.
Strong technical foundation: proficient in Python and SQL for data modelling and rule implementation.
Proven track record of implementing Fraud and AML strategies that deliver measurable risk reduction.
Sound understanding of regulatory and compliance frameworks related to financial crime.
Strong analytical, problem-solving, and communication skills.
Previous experience in team leadership or technical mentoring roles.
Familiarity with data visualisation tools and reporting dashboards.
Benefits & Perks:
Equity. We want people to have a stake in the business so that all our interests are aligned.
25 days holiday
Personalized benefits – opt-in to what matters to you
Subsidised Private Medical Insurance with Bupa
Enhanced maternity and paternity leave
Wellbeing and social events
Support causes that matter to you – Volunteering time off
Salary sacrifice schemes (Cycle to work, nursery, gym, electric car scheme)