Product Analyst, Fraud

Cleo; City of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A fintech company in London is seeking a Mid-Senior level Analyst to enhance their fraud prevention framework. The candidate will define key metrics, collaborate with engineers, and analyze user behavior data. Ideal applicants should have strong analytical skills, experience in quantitative analysis, and proficiency in SQL. The position offers a competitive compensation package and a hybrid working model.

Benefits

Competitive compensation package

25 days annual leave

Private medical insurance

Workplace nursery scheme

1 month paid sabbatical after 4 years

Qualifications

• Experience doing quantitative analysis within a digital product environment.
• Exposure to both user-facing product analytics and back-end process improvements.
• Proven track record of proactively conducting root-cause analysis.

Responsibilities

• Define key fraud metrics and track KPIs to assess risk.
• Dig into user behaviour and payments data to identify fraud features.
• Collaborate with engineers and data scientists to build a fraud prevention framework.

Skills

Quantitative analysis

Strong SQL skills

Metrics definition

Large-scale A/B experiments

Root-cause analysis

Job description

About Cleo

At Cleo, we’re not just building another fintech app. We’re embarking on a mission to fundamentally change humanity’s relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper‑intelligent financial advisor in their pocket. That’s the future we’re creating.

Cleo is a rare success story: a profitable, fast‑growing unicorn with over $200 million in ARR and growing over 2× year‑over‑year. We have an exceptionally high bar for talent and seek individuals who are at the top of their field and embody our culture of collaboration and positive impact.

About the Role

As Cleo scales quickly, you’ll help keep our platform secure and our growth sustainable. Using data‑driven insights, you’ll turn rich user data into real impact, cutting down fraud and strengthening our decision‑making. You’ll partner with third‑party providers, assess their value, and integrate their data into Cleo’s core systems. You’ll monitor how our fraud rules impact trusted customers, run A/B tests to refine our approach, and work within our data function—an 80‑person chapter of machine learning engineers, product analysts, and analytic engineers.

Key Responsibilities

• Define key fraud metrics and track KPIs to assess true risk to the company and our users.
• Dig deep into user behaviour and payments data to identify features indicative of potential fraud.
• Collaborate with fraud investigators to identify trends, optimise existing rules, and create new ones to prevent future losses.
• Work alongside engineering, product, and data‑science partners to build a best‑in‑class fraud prevention, detection and response framework.
• Collaborate with and assess potential third‑party partners that can supplement customer data or make more precise risk decisions.

About You

• Experience doing quantitative analysis within a digital product environment.
• Exposure to both user‑facing product analytics and back‑end process improvements.
• Proven track record of proactively conducting root‑cause analysis and/or optimising existing processes.
• Strong SQL skills with the ability to extract insights from complex data sources.
• Comfortable defining metrics from scratch and creating dashboards.
• Familiarity with conducting large‑scale A/B experiments.
• Proven experience contributing to strategic planning, including roadmap development and initiative prioritisation.

Nice to Have

• Previous experience evaluating the performance of fraud rules.
• Experience in an adversarial risk prevention or detection space, such as financial crime prevention or account security.

What do you get for all your hard work?

• A competitive compensation package (base + equity) with bi‑annual reviews, aligned to our quarterly OKR planning cycles. Public progression framework and salary bandings can be viewed here: https://cleo-ai.progressionapp.com/
• Work at one of the fastest‑growing tech startups backed by top VC firms, Balderton and EQT Ventures.
• A clear progression plan that encourages you to grow, lead, challenge the status quo, and own your impact, with full support.
• Flexibility: we work with everyone to ensure you have the balance you need to do your best work.
• Hybrid options: if you live in London we have a hybrid approach; otherwise we encourage occasional in‑person time and cover travel costs.

Other Benefits

• Company‑wide performance reviews every 6 months.
• Generous pay increases for high‑performing team members.
• Equity top‑ups for promoted members.
• 25 days annual leave a year + 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.
• OpenAI subscription coverage.
• Online mental health support via Spill.
• Workplace nursery scheme.
• And many more!

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Research, Analyst, and Information Technology

London, England, United Kingdom