People Data Analyst

Cleo Logo

Cleo

📍Remote - United Kingdom

Summary

Join Cleo as a Senior Product Analyst in the fraud team, playing a crucial role in ensuring platform safety and profitability. Lead efforts to leverage user data for fraud reduction, collaborating with third-party partners and internal teams. Develop and optimize fraud rules through A/B testing, balancing precision and user experience. Work within a larger data function team, contributing to the development of Cleo's data platform. This role requires a self-starter with proven success in using analytical insights to mitigate adversarial risk. The position offers a competitive compensation package, flexible work arrangements, and a supportive environment.

Requirements

  • Multiple years of experience doing quantitative analysis within a digital product environment
  • Solid SQL experience. You know how to dig deep through various data sources to find insights
  • Experience in an adversarial risk prevention or detection space, whether in community integrity, fincrime prevention, or account security
  • Proven track record of proactively identifying new fraud rules, conducting root cause analysis, and/or optimising existing processes
  • Exposure to both user facing product analytics as well as back-end process improvements
  • Comfortable with defining metrics from scratch and creating dashboards
  • Familiarity with conducting large-scale A/B experiments

Responsibilities

  • Take on a senior analytics role on the fraud team, helping prioritise the workload and strategy of the team
  • 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 and recommend new frameworks or rulesets 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
  • Optimise existing rules and create new data-backed fraud rules to cut down chargeback rates
  • Collaborate with and assess potential third party partners that can supplement customer data or make more precise risk decisions

Preferred Qualifications

Preferred experience working with third party data (either with payments processors, risk engines, or data aggregators)

Benefits

  • A competitive compensation package (base + equity) with bi-annual reviews
  • Work at one of the fastest-growing tech startups, backed by top VC firms, Sofina, Balderton & EQT Ventures
  • A clear progression plan
  • Flexibility: We can’t fight for the world’s financial health if we’re not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work
  • Work where you work best. We’re a globally distributed team. If you live in London we have a hybrid approach, we encourage you to spend one day a week or more in our beautiful office but this is fully flexible. If you’re 2+ hours outside of London, we’ll encourage you to spend a couple of days with us in-person a few times per year - and we’ll cover your travel costs, naturally
  • 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo)
  • 401k matching in the US and 6% employer-matched pension in the UK
  • 2 months paid sabbatical after 4 years at Cleo!
  • Regular socials and activities, online and in-person
  • Online mental health support via Spill
  • We'll pay for your OpenAI subscription

Share this job:

Disclaimer: Please check that the job is real before you apply. Applying might take you to another website that we don't own. Please be aware that any actions taken during the application process are solely your responsibility, and we bear no responsibility for any outcomes.

Similar Remote Jobs