About the company
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed.
Responsibilities
- Proactively hunt for anomalies, blind spots and gaps in controls using transaction, event and case data.
- Build Rules and features for our detection engine to catch fraudsters.
- Deliver frequent findings and recommended actions to the squad that lead to operational fixes.
- Drive root-cause and cohort analyses to diagnose why controls succeed or fail and propose prioritized remediation.
- Understand customer experience due to our controls and drive continuous improvements.
- Partner with Product Managers, Data Scientists, Operations and other Analysts to define and own fraud KPIs across Wise products and markets.
- Identify, prioritise and drive initiatives with our product managers.
- Link business outcomes to control-level metrics, define and own performance for your team.
- Be the primary analytical contact for fraud workstreams on new market launches.
- Run pre-launch risk scenario modelling to estimate exposure and operational load.
- Provide clear go/no-go recommendations that balance risk, cost and customer impact.
Requirements
- Minimum 3 years experience in product analytics in a complex, data-driven environment.
- 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.
- Technical skills: advanced SQL, Python (pandas/scikit or similar), and experience building dashboards in BI tools (Looker/Tableau/PowerBI).
Nice to have
- FinTech/payments and Fraud experience.
- Experience with feature engineering and model monitoring.
- Familiarity with Airflow/DBT/Git/Snowflake and production data platforms.
Conditions
- Salary: £60,000 - £85,000
- Company Restricted Stock Units
- Numerous great benefits in our London office
- Hybrid working
- Paid annual holiday, sick days, parental leave and other leave opportunities
- 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave