National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Fraud and Data Analyst

AXA UK
Ipswich
2 weeks ago
Applications closed

Related Jobs

View all jobs

Counter Fraud Data Analyst (Ref: 6883)

Fraud Data Analyst

Assurance - Financial Services - Fraud - Forensic Data Analyst - Senior - London

Assurance - Financial Services - Fraud - Forensic Data Analyst - Senior - London

Lead Data Scientist - Model Risk Management

Senior Risk Data Analyst - Fincrime & Fraud Monitoring

Get AI-powered advice on this job and more exclusive features.

We’ve got an exciting opportunity to join our Fraud team in AXA UK, as a Data Analyst. As a Fraud Data Analyst, you’ll play a crucial role in safeguarding our organisation and making a significant impact in fraud prevention. In this exciting role, you’ll focus on large datasets whilst being responsible for uncovering patterns of fraud and potential risks.

You’ll have the opportunity to develop specialist skills in an evolving, fast-moving environment in the second line UK Fraud team. You’ll spend your time identifying potential fraud risks using data analytics and responding to alerts and queries generated by systems or contact requests via one of our mailboxes.

At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You’ll be required to regularly attend one of our office locations for team collaboration.

What you’ll be doing:

  • Handling data extracts for importing into databases (cloud/datalake) and manage data import specifications.
  • Conducting risk factor analysis and risk screenings on our new starters to ensure compliance and security.
  • Investigating data leakage incidents by assessing what information is being sent out, determining if it requires further investigation or action.
  • Conducting a comprehensive analysis of large datasets to identify potential fraud risks, patterns, and anomalies, utilising advanced analytical techniques.
  • Serving as the first responder for ad-hoc queries, triaging and expediting urgent or straightforward issues to ensure timely resolution.
  • Building and delivering MI reports.
  • Managing the fraud email inboxes and telephone mailboxes referring alerts to an appropriate fraud resource.
  • Overseeing fraud-related email inboxes and telephone mailboxes, triaging alerts and referring them to appropriate fraud resources for further investigation.
  • Tracking and documenting any risk incidents in the SCALA system, ensuring accurate records are maintained for ongoing risk assessments and reporting.
  • Responding to automated alerts generated by various fraud detection, malpractice, and data loss prevention tools, assessing their validity and escalating as necessary.


Due to the number of applications we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we’re able to effectively manage interest. Therefore, if you’re interested in joining us at AXA, please don’t hesitate to apply.

What you’ll bring:

  • Previous Data Analytics experience, with the ability to analyse large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity, is essential for this role.
  • Advanced IT technical skills using Office 365 including excel, access, SQL, power BI and similar query languages and PowerBI is essential.
  • Proficiency in data mining techniques and the ability to create predictive models to forecast potential fraud is desirable.
  • You’ll have a keen eye for detail, ensuring accuracy and precision in interpreting and reporting data including unusual behaviour that could suggest fraud.
  • Ability to present findings clearly using data visualisation tools, to communicate insights to stakeholders effectively.
  • Capacity to think critically and creatively to develop solutions and strategies for preventing and detecting fraud.
  • You’ll have both strong verbal and written communication skills, as these are essential for reporting findings and collaborating with other teams.
  • Awareness of fraud, audit, financial crime, or compliance matters, and detailed knowledge of the Insurance Market would be beneficial.


As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.

What we offer:

At AXA UK, we’re appreciative of the people who work for us and our rewards package is reviewed regularly to reflect that. You can expect to receive:

  • Competitive annual salary of up to £38,000 dependent on experience
  • Annual company & performance-based bonus
  • Contributory pension scheme (up to 12% employer contributions)
  • Life Assurance (up to 10 x annual salary)
  • Private health cover
  • 25 days annual leave plus Bank Holidays
  • Opportunity to buy up to 5 extra days leave or sell up to 5 days leave
  • Wellbeing services & resources
  • AXA employee discounts


To apply, click on the ‘apply for this job’ button, you’ll then need to log in or create a profile to submit your CV. We’re proud to be an Equal Opportunities Employer and don’t discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, we’re proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to .

Who we are:

AXA UK Support Functions power AXA’s three customer-facing business units, providing the infrastructure, support and expertise to ensure our customers can always count on us. Whether you’ve got heaps of experience and qualifications behind you, or you’re just starting out, we’ll give you the support and opportunities to help you grow and develop with confidence.

Seniority level

  • Seniority levelEntry level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology

Referrals increase your chances of interviewing at AXA UK by 2x

Get notified about new Data Analyst jobs inIpswich, England, United Kingdom.

Leiston, England, United Kingdom 2 weeks ago

Ipswich, England, United Kingdom 3 days ago

Ipswich, England, United Kingdom 4 days ago

PMO Data Analyst/Administrator - 24 month FTC

Ipswich, England, United Kingdom 22 hours ago

Evidence Advisor, Data Analysis and Statistics - 31273

Ipswich, England, United Kingdom 10 hours ago

Evidence Advisor, Data Analysis and Statistics (Fixed Term) - 31375

Ipswich, England, United Kingdom 10 hours ago

Colchester, England, United Kingdom 1 week ago

Evidence Advisor, Data Analysis and Statistics - 31273

Colchester, England, United Kingdom 10 hours ago

Evidence Advisor, Data Analysis and Statistics (Fixed Term) - 31375

Colchester, England, United Kingdom 10 hours ago

Head of Data and Analysis - Hybrid - Retail

Suffolk, England, United Kingdom 12 hours ago

Catastrophe Risk and Actuarial Analytics - Career Returners Programme

Ipswich, England, United Kingdom 3 months ago

Elmstead Market, England, United Kingdom 5 months ago

Operational Resilience Program Analyst - Part Time (28 Hours)

Suffolk, England, United Kingdom 4 days ago

Sproughton, England, United Kingdom 3 days ago

Ipswich, England, United Kingdom 3 days ago

Ipswich, England, United Kingdom 2 months ago

Colchester, England, United Kingdom 6 days ago

Colchester, England, United Kingdom 1 day ago

Business Analyst - Energy - 24 Month FTC

Ipswich, England, United Kingdom 3 months ago

Martlesham Heath, England, United Kingdom 2 days ago

Ipswich, England, United Kingdom 18 hours ago

Harwich, England, United Kingdom 1 day ago

Colchester, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.