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Fraud Analyst
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Fraud Analyst based in United Kingdom.
As a Fraud Analyst, you will play a key role in protecting a rapidly growing digital rewards platform and ensuring users are accurately segmented based on legitimate activity and potential fraud. You’ll investigate evolving fraud patterns and turn data into practical detection and prevention strategies. Working closely with product, data, and analytics colleagues, you’ll help shape the signals and controls used to identify suspicious behavior. You’ll also contribute to verification strategies across different markets, adapting approaches to local requirements and fraud trends. The role combines hands-on investigation, analytical problem-solving, and operational decision-making. You’ll have the opportunity to influence product priorities while helping build a fraud detection system that evolves as user behavior changes.
Accountabilities
- Regularly review, evaluate, and refine fraud signals to distinguish suspicious activity from legitimate users, including indicators such as IP spoofing, VPN usage, and unusual gameplay patterns.
- Own the fraud-related segments within the broader user segmentation system, determining how signals should be interpreted and monitoring the effectiveness of fraud categories over time.
- Analyze emerging fraud patterns and proactively identify changes needed to detection rules, segments, and verification processes.
- Partner with product teams to define and improve fraud verification approaches across different markets, considering solutions such as facial verification, ID scanning, and phone verification.
- Investigate users and cases flagged for manual review, including ambiguous cases, and identify opportunities to make the review process more efficient and consistent.
- Identify gaps in existing fraud signals and data sources, and recommend relevant third-party tools or solutions for the product roadmap.
- Translate analytical findings into practical fraud controls and collaborate with cross-functional stakeholders to ensure those controls remain effective as fraud tactics evolve.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
- Hands-on professional experience using data to investigate fraud and influence fraud detection or prevention decisions.
- Experience designing, evaluating, or improving fraud signals, user segmentation models, detection rules, or manual review processes.
- Strong analytical and investigative mindset, with the ability to identify patterns, anomalies, and gaps in available data.
- Understanding of how fraud behaviors and tactics evolve, with an interest in continuously adapting detection strategies.
- Ability to turn analytical insights into practical, operational fraud controls and recommendations.
- Strong collaboration and communication skills, with experience working effectively with product, data, and other cross-functional teams.
- Comfortable working in a changing environment where fraud detection approaches and verification methods need to evolve over time.
- Professional English proficiency sufficient for meetings, documentation, tools, and written communication.
- Experience with fraud detection tools, identity verification solutions, user-risk segmentation, or third-party fraud data providers is an advantage.


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Benefits
- Remote-friendly opportunity open to candidates based in Europe.
- Flexibility to work remotely while collaborating with a distributed international team.
- Opportunity to have direct influence on fraud detection strategy, user segmentation, and product decisions.
- Cross-functional collaboration with product, data, analytics, and other specialist teams.
- Exposure to evolving fraud prevention and user verification technologies across multiple markets.
- Opportunity to work on a growing digital rewards platform with a large and engaged user base.
- Warsaw is a preferred location, offering the opportunity to work more closely with team members based there.
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