Senior Product Analyst - Financial Crime

About the Position

We are looking for a Senior Product Analyst - Financial Crime to join our Global Fraud Squad at Wise. In this role, you’ll help Wise 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.

Responsibilities

• Proactive detection & insights sharing

  • 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.

• Drive KPI Performance

  • Partner with Product Managers, Data Scientists, Operations, and other Analysts to define and own fraud KPIs across Wise products and markets.
  • Identify, prioritize, and drive initiatives with our product managers.
  • Link business outcomes to control-level metrics, define, and own performance for your team.

• Analytical leadership in new market launches

  • Be the primary analytical contact for fraud workstreams on new market launches.
  • Run pre-launch risk scenario modeling to estimate exposure and operational load.
  • Provide clear go/no-go recommendations that balance risk, cost, and customer impact.

Requirements

• Ideally you'll have

  • 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 behavior.
  • 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).

• 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.

We Offer

• Competitive salary: GBP 60,000 - GBP 85,000 per year.
• Full-time position.
• Opportunity to work in a diverse, equitable, and inclusive environment.

About the Company

Wise is a global technology company, building the best way to move and manage the world’s money. Our mission is to make lives easier and save money for people and businesses sending money to another country, spending abroad, or making and receiving international payments.

Min fees. Max ease. Full speed.

For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable, and inclusive.

We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission, and able to progress in their careers.

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.

For more information about working at Wise, visit Wise.Jobs.

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