Data Analyst, Financial Crimes & Identity

About the role

We are looking for a Senior Data Analyst to join our Financial Crimes & Identity team. In this role you will use data to shape risk strategy, strengthen identity verification and improve customer onboarding while ensuring a secure experience for members.

Key responsibilities

• Analyze and monitor financial crimes and identity risk metrics across onboarding and lifecycle controls.
• Identify trends, emerging typologies and control performance to inform strategy improvements.
• Develop and optimise risk strategies for KYC, identity verification and customer segmentation.
• Partner with Product, Engineering, Data Science and Operations to implement and scale decisioning logic and controls.
• Build dashboards and monitoring frameworks to track performance and detect anomalies.
• Collaborate with Data Science and Machine Learning teams on model development and automation of risk processes.
• Support identity verification vendor strategy through performance analysis, testing and optimisation.

Required profile

• 5+ years of experience in analytics, risk or financial crimes (AML, KYC, identity, fraud).
• Strong analytical, problem‑solving and cross‑functional communication skills.
• Experience with large data sets and risk metric analysis (approval rates, false positives, downstream fraud signals).
• Familiarity with customer onboarding/KYC processes and identity verification concepts.

Required skills

• SQL
• Looker or Tableau (or similar data‑visualisation tools)

What we offer

• Base salary ranging from $109,000 to $150,000 per year.
• Eligibility for bonus, competitive equity package and comprehensive benefits.
• Opportunity to shape risk strategy at a fast‑growing fintech company.