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Data Analyst - Fraud/AML

OakNorth
Full-time
On-site
Manchester, United Kingdom
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.
 
The role 
This role is perfect for someone who enjoys using data to solve complex problems in a high-stakes environment. You’ll be working closely with our Fraud Operations team and wider AML function to analyse transactions, detect suspicious patterns, and develop automated, AI-driven approaches to improve fraud prevention and AML monitoring. 
You’ll collaborate with Operations, Compliance, and Business Banking to enhance monitoring processes, streamline workflows, and strengthen the bank’s ability to respond quickly to emerging threats. 
Are you ready to step up to the challenge?

What you’ll work on

    • As a Fraud & AML Data Analyst, you will: 
    • Work hand-in-hand with the Fraud Operations team to investigate alerts, refine detection rules, and assess risk patterns. 
    • Analyse transaction data and customer behaviour to identify anomalies, suspicious trends, and potential financial crime risks. 
    • Leverage AI tools and techniques to enhance fraud detection accuracy and reduce false positives. 
    • Design and implement automated reporting and monitoring processes to improve efficiency and speed of response. 
    • Support AML investigations by producing clear, data-driven reports for internal and external stakeholders. 
    • Develop dashboards and visualisations to track fraud/AML metrics and investigation outcomes. 
    • Partner with compliance and operations teams to ensure regulatory reporting is accurate and timely. 
    • Contribute to the bank’s fraud prevention strategy through evidence-based analysis and technology adoption. 

What we’re looking for:

    • 5+ years of experience in data analysis, ideally within a fraud prevention, AML, or financial crime context. 
    • Strong SQL skills for querying and analysing large datasets. 
    • Experience with Python (pandas, numpy) for data manipulation and statistical analysis. 
    • Familiarity with data visualisation tools (e.g., Looker, Tableau, Power BI). 
    • Strong problem-solving skills with the ability to turn complex data into actionable insights. 
    • Excellent communication skills, with the ability to present findings to both technical and non-technical stakeholders. 

Desirable:

    • Understanding of fraud typologies, AML regulations, and transaction monitoring principles. 
    • Experience working in a fraud-specific environment within banking or financial services. 
    • Knowledge of fraud detection systems and case management tools. 
    • Familiarity with advanced analytics techniques for fraud prevention, such as anomaly detection, network analysis, or predictive modelling. 
    • Experience applying AI or machine learning techniques to financial crime prevention (desirable but not essential). 

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)
Apply now
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