Join to apply for the Fraud Data Analyst role at Cleo

Join to apply for the Fraud Data Analyst role at Cleo

This is a level 3 position. Cleo has 5 internal levels of competency within Product Analytics. See our skills framework for how we differentiate on seniority.

We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know.

About Cleo

People come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being.Backed by some of the best-known investors in tech, we’ve reached millions of people to support them throughout their financial lives. We're hitting headlines too. This year, Forbes named us as one of their Next Billion Dollar Startups, and we were crowned the 'Hottest Tech Scaleup' at the Europas.Follow us on LinkedIn to keep up to date with new product features and insights from the team.

What You'll Be Doing

We’re looking for a Fraud Data Analyst to join the Fraud Squad at Cleo.

As a Fraud Data Analyst you'll be at the frontline of protecting both our users and the business from emerging fraud threats. You will play a critical role in helping shape the future of our fraud prevention strategy by turning data into actionable insight and partnering closely with cross-functional teams to move fast, iterate and stay ahead of attackers.

You’ll Work In a Fast-paced Environment Where Analytical Sharpness And Strategic Thinking Are Critical. Your Work Will Help Us Answer Questions Like

→ What fraud is slipping through our defences?

→ What’s driving our dispute rate this month?

→ Where are our rules creating friction for legitimate users?

→ How do we make better decisions, faster?

Key Responsibilities

Fraud Detection and Investigation

• Proactively review and investigate emerging fraud incidents and disputes.
• Investigate reported fraud cases and disputes to uncover broader trends and patterns.
• Develop and refine fraud rules to improve efficiency.
• Conduct root-cause analysis of false positives to fine-tune detection strategies.
• Proactively identify potential fraud threats and design and execute mitigation strategies.
• Work with the wider fraud squad to rapidly identify and mitigate fraud attacks through data-led diagnosis and short-term triage rule design and lead incident response.
• Stay on top of chargebacks / disputes and volume spikes and develop mitigation strategies to reduce losses and avoid threshold breaches (both for cards and ACH payments).
  
  

• Extract and analyse large volumes of transactional data using SQL
• Produce comprehensive analysis with concise narrative on findings and proposed solutions, providing stakeholders with the information they need to take action.
• Build and maintain dashboards and reports that highlight fraud trends and KPIs.
• Own and monitor fraud KPIs and proactively flag areas of risk or opportunity.
• Improve access to fraud data through collaboration with engineering and AX teams.
• Present complex data findings to stakeholders in a clear and actionable manner.
  
  

• Work closely with product, operations, compliance, customer service and the wider fraud squad.
• Liaise with external third parties such as fraud vendor partners, payment partners.
  
  

• SQL Proficiency: You have 2 years + hands-on experience with SQL, using it to analyze data, identify trends, and support your investigations.
• Experience:
• You have a minimum of 2 years of experience in a Fraud Data Analyst or similar role within payments, fintech, or eCommerce.
• Expertise in fraud typologies including identity theft, CNP fraud, payment fraud, Account Takeovers etc.
• Versatility: You can seamlessly switch between reactive and proactive work, handling urgent fraud cases while also focusing on long-term prevention strategies.
• Detail-Oriented: You have a keen eye for detail, with a passion for uncovering trends and insights from complex data sets.
• Analytical Skills: Ability to analyse anomalies, identify trends, and convert findings into prevention strategies
• Communication skills: excellent communication and stakeholder engagement skillsAs a Data Analyst in our Fraud team at Cleo, you will play a critical role in safeguarding our company and users from fraudulent activities. Your responsibilities will include:
  

• SQL Proficiency: You have 2 years + hands-on experience with SQL, using it to analyze data, identify trends, and support your investigations.
• Experience: You have a minimum of two years of experience in the field of fraud investigation.
• Versatility: You can seamlessly switch between reactive and proactive work, handling urgent fraud cases while also focusing on long-term prevention strategies.
• Detail-Oriented: You have a keen eye for detail, with a passion for uncovering trends and insights from complex data sets.
  
  

• A competitive compensation package (base + equity). You can view our public skills framework and salary bandings here
• This position is at L3 or L4 level and the salary for this role will be £xx.
• Work at a fast-growing UK startup, backed by top VC firms - Sofina, Balderton, EQT Ventures - that still has a sense of its values
• A clear progression plan. We want you to keep growing. You will always have a clear development plan, built using our skills framework, and a people-manager who works hard to help you on that journey.
• Flexibility: We treat you as humans first, employees second. Because we can’t fight for the world’s financial health, if we’re not healthy ourselves. This means all the usual perks but it also means flexibility. We take pride in being a flexible workplace that trusts our Cleople to deliver their best work, giving you the autonomy to structure your day around morning drop-offs to school or daily dog walks.
• Hybrid-first: Join our hybrid-first team, where we blend the best of both remote and in-office work. London based employees come to our London office 1-2 times a week, however we're open to remote employees for this role. If London based, on Thursdays, we buy you lunch but you can come to the office on whichever days work best for you!
• And the rest!
• Performance reviews every 6 months, with generous pay increases and equity top-ups for high performers
• Private Medical Insurance, dental cover, life assurance
• 25 days annual leave + 1 additional day for every year you spend at Cleo (+ public holidays)
• 6% employer-matched pension
• 1 month paid sabbatical after 4 years at Cleo
• Enhanced parental leave
• Access to Learnerbly, Reforge, and other L&D portals
• Online mental health support via Spill
• We'll pay for your OpenAI subscription
• Regular socials and activities, online and in-person
• And more! Check out our full benefits package
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

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