At a Glance
- Tasks: Join our Fraud Squad to protect users from fraud threats and shape prevention strategies.
- Company: Cleo empowers people to achieve financial well-being with innovative AI solutions.
- Benefits: Enjoy flexible work, competitive pay, private medical insurance, and generous leave policies.
- Why this job: Make a real impact in a fast-paced environment while collaborating with diverse teams.
- Qualifications: 2+ years of SQL experience and expertise in fraud analysis required.
- Other info: We value diversity and offer accommodations for all applicants.
The predicted salary is between 36000 - 60000 £ per year.
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
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 aFraud 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).
Data Analysis and Reporting
- 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.
What are we looking for?
To be successful in this role, you should possess the following qualifications and attributes:
- 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:
About You
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 aFraud 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).
Data Analysis and Reporting
- 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.
Collaboration
- 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.
What are we looking for?
To be successful in this role, you should possess the following qualifications and attributes:
- 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.
About You
To be successful in this role, you should possess the following qualifications and attributes:
- 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.
Join us at Cleo, where your expertise will help us stay ahead of fraud and ensure a secure environment for our users. If you\’re passionate about fraud investigation and thrive in a fast-paced, dynamic setting, we would love to hear from you.
What do you get for all your hard work?
- 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
UK App access: The Cleo app is no longer downloadable in the UK. Why? 99% of our users are based in the US – where financial health is often overlooked. We’ve shifted our focus to where we can provide the most value and make the greatest impact for users. We’ll be returning to support UK users in the future.
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Fraud Data Analyst employer: cleo
Contact Detail:
cleo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in fraud detection and prevention. Understanding current fraud typologies, such as identity theft and payment fraud, will help you demonstrate your expertise during interviews.
✨Tip Number 2
Network with professionals in the fintech and payments industry. Engaging with others on platforms like LinkedIn can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with SQL in detail. Be ready to share specific examples of how you've used SQL to analyse data and identify trends in previous roles.
✨Tip Number 4
Showcase your analytical skills by preparing a case study or example of a fraud investigation you've conducted. This will highlight your problem-solving abilities and attention to detail.
We think you need these skills to ace Fraud Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in fraud analysis, particularly your SQL proficiency and any specific fraud typologies you've worked with. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for fraud prevention and how your analytical skills can contribute to Cleo's mission. Mention any specific experiences that showcase your ability to handle both reactive and proactive fraud cases.
Showcase Your Analytical Skills: Provide examples of how you've used data analysis to identify trends or solve problems in previous roles. Highlight any dashboards or reports you've created that led to actionable insights, as this aligns with the responsibilities of the position.
Prepare for Potential Questions: Anticipate questions related to your experience with fraud detection and investigation. Be ready to discuss specific cases where you identified fraud patterns or developed mitigation strategies, as this will demonstrate your expertise in the field.
How to prepare for a job interview at cleo
✨Showcase Your SQL Skills
Since the role requires strong SQL proficiency, be prepared to discuss your experience with SQL in detail. Bring examples of how you've used SQL to analyse data and identify trends, especially in relation to fraud detection.
✨Understand Fraud Typologies
Familiarise yourself with various fraud typologies such as identity theft, CNP fraud, and account takeovers. Be ready to discuss how you have dealt with these issues in previous roles or how you would approach them at Cleo.
✨Demonstrate Analytical Thinking
Prepare to showcase your analytical skills by discussing specific instances where you've identified trends or anomalies in data. Highlight how your insights led to actionable strategies for fraud prevention.
✨Communicate Clearly
Effective communication is key in this role. Practice explaining complex data findings in a clear and concise manner. You might be asked to present your analysis to stakeholders, so being articulate will set you apart.