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Senior Product Analyst - Fraud Squad (AUP)

Wise · Tallinn

Nouveau
Senior 🇬🇧 English
SQL Python pandas Looker Tableau Airflow DBT Git Snowflake

Description du poste

About the role

Wise is looking for a Senior Product Analyst to join its Global Fraud Squad in Tallinn. The role helps Wise scale safely and efficiently by finding gaps in fraud controls and strengthening intelligence through analytics, working closely with cross-functional teams to improve how fraud is detected, prevented and responded to.

Key responsibilities

  • Hunt proactively for anomalies, blind spots and control gaps using transaction, event and case data, and build rules and features for the detection engine.
  • Deliver frequent findings and recommended actions that lead to operational fixes, and run root-cause and cohort analyses to propose prioritised remediation.
  • Understand the customer experience affected by controls and drive continuous improvements.
  • Define and own fraud KPIs across Wise products and markets, link business outcomes to control-level metrics and drive initiatives with Product Managers.
  • Act as the primary analytical contact for fraud workstreams on new market launches, running pre-launch risk scenario modelling and giving go/no-go recommendations.

Required profile

  • At least 4 years of experience in product analytics in a complex, data-driven environment.
  • Strong communicator who translates complex analyses into clear recommendations and influences senior stakeholders.
  • Strong analytical mind and product intuition focused on payments, transaction flows and online behaviour.
  • Ability to dig into data, surface anomalies, share findings frequently and drive actions across teams.

Required skills

  • Advanced SQL and Python (pandas/scikit-learn or similar).
  • Experience building dashboards in BI tools such as Looker, Tableau or Power BI.
  • Nice to have: FinTech/payments and fraud experience, feature engineering and model monitoring, and familiarity with Airflow, DBT, Git, Snowflake and production data platforms.

Questions fréquentes

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Source : ats:smartrecruiters

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Wise

Tallinn