Senior Financial Crime Manager – AI-Driven Risk Advisory

OakNorth

Manchester

Hybrid

GBP 80,000 - 100,000

Full time

14 days+

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Benefits offered by this job

25 days holiday plus personalised ben.
Subsidised private medical insurance
Enhanced maternity and paternity leave
Wellbeing and social events
Volunteering time off
Salary sacrifice schemes

Job summary

OakNorth Bank seeks a mid-senior Manager in Financial Crime to advise on escalations, build stakeholder relationships, and expand the second-line risk function. The role covers AML, sanctions, and related controls in a regulated banking environment, with a focus on scalable, AI-enabled risk management.

Location can be London or Manchester, with a hybrid working model. The team is expanding as it modernises risk practices and AI usage across the business.

Qualifications

  • 5+ years' experience in financial crime within a regulated banking environment.
  • Solid grounding across AML, ABC, fraud, and sanctions and related regs.
  • Understanding of commercial lending, retail savings and business banking products.
  • Strong stakeholder skills with ability to engage across teams.
  • Interest in AI tools and practical use for risk management.

Responsibilities

  • Provide advisory on financial crime escalations to second line, incl. CDD, high-risk cases and PEPs.
  • Support and/or lead BAU items: policy, risk assessments, training, MI.
  • Identify and help deliver AI use cases to improve efficiency of risk management.
  • Build and maintain strong relationships with business and operations teams.

Skills

5 years' experience - financial crime
AML, ABC, fraud, sanctions
Commercial lending / savings products
Stakeholder management
AI in risk management

Job description

OakNorth Bank seeks a mid-senior Manager in Financial Crime to advise on escalations, build stakeholder relationships, and expand the second-line risk function. The role covers AML, sanctions, and related controls in a regulated banking environment, with a focus on scalable, AI-enabled risk management.

Location can be London or Manchester, with a hybrid working model. The team is expanding as it modernises risk practices and AI usage across the business.

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