At a Glance
- Tasks: Use data to identify and prevent fraud, ensuring a smooth experience for genuine customers.
- Company: Join a fast-growing digital lender with a diverse and dynamic team.
- Benefits: Enjoy a competitive salary, flexible work options, and generous leave policies.
- Why this job: Make a real impact in protecting customers while developing your analytical skills.
- Qualifications: Strong SQL and Python skills, with a keen eye for detail and problem-solving.
- Other info: Be part of a culture that values ownership, customer obsession, and teamwork.
The predicted salary is between 32400 - 54000 £ per year.
About Selina
At Selina Finance, our mission is to provide exceptional value with simple and flexible financial products. We’re achieving this by building a next‑generation digital lender targeting homeowners across the UK. More than £2tn of equity value is locked up in UK homes, while homeowners still need to rely on high‑interest‑rate consumer loans, credit cards, or overdrafts. We believe this is unfair and unnecessary. We offer a financing product unlike anything else out there, one that is as flexible as a current account, as affordable as a mortgage, and as easy to apply for as a consumer loan. We are building an incredible team and culture of high performance, development, reward and recognition, ready for the next phase of our adventure.
About the Role
This is a high‑impact analytics role within our Compliance team. As a Fraud Analyst, you’ll use data to identify and prevent fraudulent activity, helping protect both our customers and the business, while ensuring genuine customers move through our products with minimal friction. You’ll be part of the Compliance team, a dynamic and collaborative team, and your insights will directly influence live fraud decisions and customer outcomes every day. Fraud is constantly evolving. As we scale our products and customer base, our ability to detect, prevent, and adapt to new fraud risks is critical.
What will you be doing?
- Monitoring fraud performance dashboards across products and channels
- Investigating anomalies, spikes, and unusual behavioural patterns
- Writing SQL queries and using Python to explore data and answer time‑sensitive questions
- Designing, testing, and optimising fraud rules and controls
- Translating analytical findings into clear recommendations
- Proactively identify emerging fraud patterns
- Strengthen fraud controls across new onboarding journeys
- Reduce fraud losses while maintaining a seamless customer experience
- Continuously improve fraud decisioning through data‑led insights
You’re a great fit if you:
- Have strong experience writing SQL and using Python for analysis
- Familiar with Taktile or other automated decisioning/fraud management platforms
- Experience with Threatmetrix, CIFAS, and other fraud prevention tools
- Hold a detail‑oriented mindset with high standards for data quality
- Have clear and structured communication skills
- Take a genuine interest in understanding customer behaviour and how fraud manifests in data
- Have a proactive, problem‑solving approach in fast‑paced environments
- Deliver accurate, well‑structured analysis
- Go beyond reporting numbers to explain underlying drivers and impact
- Take responsibility for your work and proactively clarify ambiguity
- Communicate clearly and confidently with both technical and non‑technical stakeholders
- Connect data insights to tangible customer and business outcomes
What we offer:
- £45,000 base salary
- 25 days' annual leave, plus bank holidays
- 30 days’ work‑from‑anywhere allowance
- Bi‑annual Bonus (discretionary)
- Volunteering allowance
- Growth Shares – aligning your rewards with our success, giving you the opportunity to share in the value we create.
- Annual L&D budget
- Cycle to work scheme
- 3% pension contribution
- Monthly socials
- Free access to mental health support via ‘Spill’
- A choice of benefits that work for you, courtesy of our benefits platform, ‘Thanks Ben’
- Annual £60 cycle allowance for Santander cycles or Evans (via ‘Thanks Ben’)
- Workplace Nursery Benefit, allowing eligible nursery costs to be paid via salary sacrifice
- Annual Train Ticket Loan Scheme
Our Values
- Take Ownership - We all act as owners. We make decisions in the best interest of the company. We pride ourselves on solving problems, not finding barriers. We have a bias for action; we move fast and we deliver.
- Customer Obsessed - We put our customers at the heart of everything we do. We listen to their needs and work tirelessly to provide them with the best possible products and experiences.
- Drive Change - We are pioneers in our industry. We are not afraid to challenge the status quo, and we constantly seek out new and better ways of doing things. We are agile and adaptable, and we embrace change as an opportunity for growth.
- Empower Our Team - We believe that collaboration and teamwork are the cornerstones of success, and we set up our team for great achievements.
We are an equal opportunities employer and are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable. We also welcome and encourage applications from traditionally underrepresented categories, and provide feedback to any candidate we interview, even if that feedback is speaking to another candidate being more suitable for the role.
Fraud Analyst employer: Selina Finance
Contact Detail:
Selina Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to fraud analysis. Use your SQL and Python skills to showcase how you can tackle real-world problems during the interview.
✨Tip Number 3
Showcase your analytical mindset! Bring examples of how you've used data to solve problems in the past. This will demonstrate your ability to connect insights to tangible outcomes, which is key for a Fraud Analyst.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our amazing team at Selina Finance.
We think you need these skills to ace Fraud Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Fraud Analyst role. Highlight your experience with SQL and Python, and any relevant tools like Threatmetrix. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about fraud prevention and how you can contribute to our mission at Selina Finance. Keep it concise but impactful!
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them in real situations. Share examples of how you've tackled fraud-related challenges or improved processes in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team!
How to prepare for a job interview at Selina Finance
✨Know Your SQL and Python Inside Out
Since the role requires strong experience in SQL and Python, make sure you brush up on your skills. Prepare to discuss specific projects where you've used these tools to analyse data or solve problems. Being able to demonstrate your technical prowess will definitely impress the interviewers.
✨Understand Fraud Patterns
Familiarise yourself with common fraud patterns and how they manifest in data. Be ready to share examples of how you've identified or dealt with fraud in previous roles. This shows that you not only have the technical skills but also a genuine interest in understanding customer behaviour.
✨Communicate Clearly and Confidently
The ability to communicate complex data insights to both technical and non-technical stakeholders is crucial. Practice explaining your analytical findings in simple terms. This will help you stand out as someone who can bridge the gap between data and actionable business outcomes.
✨Show Your Problem-Solving Skills
Prepare to discuss scenarios where you've proactively identified issues and implemented solutions. The company values a proactive approach, so sharing specific examples of how you've tackled challenges in fast-paced environments will resonate well with the interviewers.