Senior Fraud Product Analyst
SKILLS
FULL DESCRIPTION
[Employer hidden — view at passion-project.co.uk] is a global technology company, building the best way to move and manage the world’s money.
We’re looking for a Senior Product Analyst who is passionate about our mission of Money Without Borders to join our Global Fraud Squad. In this role, you’ll help [Employer hidden] scale safely and efficiently by uncovering gaps in our fraud controls and strengthening our intelligence through analytics. You’ll work closely with cross-functional teams to turn insights into action, improving how we detect, prevent, and respond to fraud.
How you’ll contribute
- Drive KPI Performance & Control Assurance
- Proactive detection & insights sharing
- Control governance & high-visibility reporting
- Analytical leadership in new market launches
This role will give you the opportunity to:
- Choose your path to impact – pick high-leverage problems, create the vision and own execution.
- Grow as a Product & Fraud Analyst – develop deep fraud domain expertise and combine it with your analytical skillset.
- Work cross-functionally – partner with PMs, engineers, analysts, investigators, compliance and operations across markets.
- Be highly visible – your analysis will regularly inform CROs and Risk Committees and shape strategic decisions.
- Deliver measurable change – your work will protect millions of customers while enabling [Employer hidden]’s growth.
Ideally you'll have
- Minimum 3 years experience in product analytics in a complex, data-driven environment.
- Technical skills: advanced SQL, Python (pandas/scikit or similar), and experience building dashboards in BI tools (Looker/Tableau/PowerBI).
- Hustler-mentality: You can take work beyond the analysis and get things done.
- Strong communicator: you translate complex analyses into clear recommendations and influence senior stakeholders.
- Strong analytical mind and product intuition focused on payments, transaction flows and online behaviour.
- Proven ability to dig into data, surface anomalies, communicate findings frequently, and drive actions across teams.
Good to have
- FinTech/payments and Fraud experience.
- Experience with feature engineering and model monitoring.
- Familiarity with Airflow/DBT/Git/Snowflake and production data platforms.
If you care about protecting customers and enabling growth through rigorous, product-focused fraud analytics and you like owning high-impact, high-visibility work, we’d love to hear from you.