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Fraud Investigations Analyst

Cleo

City of London

On-site

GBP 60,000 - 80,000

Full time

30+ days ago

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Job summary

A tech startup in London is seeking a Fraud Investigations Analyst to join their Fraud Squad. This role focuses on investigating fraud threats, conducting data analysis using SQL, and collaborating across teams to enhance fraud prevention strategies. The ideal candidate has significant experience in fraud data analysis and outstanding communication skills. Competitive compensation and a supportive work environment are offered, with opportunities for development and flexibility.

Benefits

Competitive salary
Flexible work-life balance
Private medical insurance
Generous vacation days
Workplace nursery scheme

Qualifications

  • 2+ years of hands-on experience with SQL for data analysis.
  • Minimum of 2 years’ experience in a Fraud Data Analyst role.
  • Expertise in fraud typologies such as identity theft and payment fraud.
  • Strong analytical skills to identify anomalies and trends.

Responsibilities

  • Proactively review and investigate fraud incidents.
  • Conduct root-cause analysis of false positives.
  • Produce analysis with actionable insights for stakeholders.
  • Work closely with product and operations teams.
  • Develop and refine fraud rules to improve efficiency.

Skills

SQL proficiency
Analytical skills
Communication skills
Detail-oriented
Expertise in fraud typologies
Job description

London, England, United Kingdom

Fraud Investigations Analyst – Cleo

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

As a Fraud Investigations Analyst you’ll be at the frontline of protecting users and the business from emerging fraud threats. Your work will help shape 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.

Key Responsibilities
  • 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, enabling stakeholders 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 and payment partners.
Qualifications and Attributes
  • SQL proficiency: 2+ years of hands‑on experience with SQL for data analysis, trend identification, and investigation support.
  • Minimum of 2 years’ experience in a Fraud Data Analyst or similar role within payments, fintech, or e‑commerce.
  • Expertise in fraud typologies including identity theft, CNP fraud, payment fraud, Account Takeovers, etc.
  • Versatility to switch seamlessly between reactive and proactive work, handling urgent fraud cases while focusing on long‑term prevention strategies.
  • Detail‑oriented with a passion for uncovering trends and insights from complex data sets.
  • Strong analytical skills to identify anomalies, trends, and convert findings into prevention strategies.
  • Excellent communication and stakeholder engagement skills.
Benefits
  • A competitive compensation package (base + equity) with bi‑annual reviews, aligned to our quarterly OKR planning cycles. View our public progression framework and salary bandings at https://cleo-ai.progressionapp.com/.
  • Work at a fast‑growing tech startup backed by top VC firms (Balderton & EQT Ventures).
  • Clear progression plan with opportunities to lead, challenge the status quo, and own impact, supported by the team.
  • Flexibility and support for work‑life balance, with globally distributed teams and hybrid options in London.
  • Competitive vacation, pension, insurance (private medical, dental, life), parental leave, 1 month paid sabbatical after 4 years, and many more perks.
Other Benefits
  • Company‑wide performance reviews every 6 months.
  • Generous pay increases for high‑performing team members.
  • Equity top‑ups for promoted staff.
  • 25 days annual leave + public holidays (plus an additional day for each year spent at Cleo, up to 30 days).
  • 6% employer‑matched pension in the UK.
  • Private medical insurance via Vitality, dental cover, and life assurance.
  • Enhanced parental leave.
  • 1 month paid sabbatical after 4 years at Cleo.
  • Regular socials and activities, online and in‑person.
  • We’ll pay for your OpenAI subscription.
  • Online mental health support via Spill.
  • Workplace nursery scheme.
  • And many more!
Welcoming Everyone

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.

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