Product Analyst, Cleo AI

• If you’re driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo’s success as we scale, while growing alongside a company that’s scaling fast, this might be your perfect fit
• Experience doing quantitative analysis within a digital product environment
• Exposure to both user facing product analytics as well as 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 with 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

Desirable

• As Cleo scales quickly, builds new products, and welcomes more users, 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 also partner with third-party providers, assessing their value and integrating their data into Cleo’s core systems
• In addition, you’ll be responsible for understanding and monitoring how our fraud rules impact trusted customers, ensuring our flows remain as seamless as possible. You’ll frequently run A/B tests to refine our approach, driving continuous improvements to both the product and overall user experience
• You’ll also sit within the wider data function here at Cleo; a hotshot chapter of 80 Machine Learning Engineers, Product Analysts, and Analytic Engineers with significant industry experience who are at the heart of everything we do at Cleo
• Define key fraud metrics and track KPIs to assess true risk to the company and our users
• Dig deep into our 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 if necessary, aiming to prevent future losses
• Work alongside our 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