Fraud Analyst

2 weeks ago

London, Greater London, United Kingdom Description This Full time £50,000 - £55,000 per year
Description

This is an exciting opportunity to join UNiDAYS as a Fraud Analyst and play a key role in protecting our platform, members, and partners from evolving threats. You'll tackle complex analytical challenges, uncover fraud patterns, and help strengthen our defences against abuse. We're looking for an experienced analyst with a strong foundation in fraud to help shape and execute our fraud prevention posture. This position represents a significant opportunity for career growth and to deepen your specialisation in a hands-on role.

Our team uniquely combines the disciplines of cyber security and fraud prevention, using many similar tools, techniques and approaches to stop attackers. While your day to day focus will be on fraud analysis and prevention, you'll also occasionally contribute to security operations as part of our team rotation, giving you exposure across both areas and the opportunity to grow as a threat analyst.

You'll work closely with stakeholders across Engineering, Product, Customer Support, and Partner facing teams to ensure that fraud considerations are built into our systems. You will also identify fraud trends that will enable us to drive improvements and foster a culture of fraud awareness and threat prevention across the business. 


Requirements

  • Experience applying statistical/analytical techniques to fraud identification and prevention.

  • Demonstrable understanding of fraud concepts relevant to online platforms (e.g., account takeover, promo abuse, bot detection, identity verification).

  • Comfortable analysing complex datasets: writing complex queries (SQL) and/or using scripting languages (e.g., Python with pandas).

  • A genuine interest in information security principles and a willingness to learn and contribute to security operations.

  • Ability to identify, assess, communicate risks, and collaborate effectively with stakeholders.

  • Proven ability to learn quickly and adapt to new technologies and challenges.

Nice to have

Experience contributing to the design and tuning of fraud detection systems.

Experience of working in a similar industry (e.g., e-commerce, online marketplace, digital rewards).

Relevant certifications in fraud (e.g., CFE).

Personal

Confident communicator, able to articulate technical concepts clearly.

Strong team working and collaboration skills.

Good business acumen and understanding of how fraud decisions impact broader business goals.

Critical thinker & problem solver with a passion for continuous improvement.

Able to influence others and contribute positively to team culture.

Proactive, takes ownership, and delivers to a high standard.



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