At a Glance
- Tasks: Analyse large datasets to uncover fraud trends and drive actionable insights.
- Company: Join a fast-paced Trust & Safety team in a hybrid role.
- Benefits: Competitive hourly rate, flexible working, and opportunities for professional growth.
- Other info: Ideal for those with a curious mindset and interest in automation.
- Why this job: Make a real impact by tackling fraud and improving operational processes.
- Qualifications: Strong SQL skills and experience with large datasets required.
The predicted salary is between 30 - 30 £ per hour.
- Fraud Data Analyst (Contract)
- Hybrid (UK) | Oxford 1 day per week | 6-Month Contract
- £27.50–£30.00 per hour | 37.5 hours per week
- We're looking for a hands-on
Fraud Data Analyst to join a fast-moving Trust & Safety team.
You'll use SQL to investigate fraud, chargebacks, payments, compliance, and operational trends across large, complex datasets, often containing millions of records.
What You'll Do
- Analyse large-scale transaction and payment data to identify fraud trends and root causes
- Combine multiple data sources to uncover actionable insights
- Develop recommendations, fraud controls, alerts, and operational improvements
- Support fraud and chargeback investigations
- Produce operational and performance reporting
- Identify opportunities for automation and process improvement
- Present complex findings clearly to technical and non-technical stakeholders
- What You'll Bring
- Strong hands-on SQL skills and experience working with large datasets
- Proven ability to investigate issues, identify root causes, and drive business action
- Excellent data storytelling and stakeholder communication skills
- Curious, proactive mindset with an interest in automation and AI-assisted analysis
- Nice to Have
- Fraud, payments, e-commerce, Fin Tech, risk, compliance, or Trust & Safety experience
- Big Query, Tableau, Looker, Python, SPSS, Jira
- Experience with AI tools such as Claude, Gemini, or Cursor
- Workflow automation tools such as n8n
- This role would suit a
Data Analyst, Data Analyst, Insight Analyst, Fraud Analyst, Risk Analyst, Compliance Analyst, or Data Scientist with around 3–5 years' experience.
Fraud Data Analyst in Banbury employer: ABL Recruitment
ABL Recruitment is an excellent employer that values its employees by offering a hybrid working model, allowing for a balanced work-life integration. With a focus on professional development and a supportive team culture, employees are encouraged to grow their skills in a dynamic environment while enjoying the benefits of flexible working arrangements in the vibrant town of Fareham.
StudySmarter Expert Advice🤫
We think this is how you could land Fraud Data Analyst in Banbury
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like ABL Recruitment before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like ABL Recruitment.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like ABL Recruitment.
We think you need these skills to ace Fraud Data Analyst in Banbury
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at ABL Recruitment, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to ABL Recruitment, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab ABL Recruitment’s attention and show the tangible impact of your work.
How to prepare for a job interview at ABL Recruitment
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at ABL Recruitment.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at ABL Recruitment.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at ABL Recruitment.
