Data Scientist, North America Onboarding Team

Posted

WiseAustin, , United Statesfull_timemid

Tech Stack

Solid badges = required, outlined = preferred

Responsibilities

  • Design, develop, and deploy machine learning models to enhance detection of financial crime, compliance violations, and risk in customer onboarding (KYC) and business verification (KYB).
  • Take over existing models to prevent chargebacks in North America and identify new ML opportunities to reduce losses.
  • Analyze large volumes of customer and business data to identify trends, patterns, and anomalies related to identity verification and regulatory risk typologies.
  • Design and implement experiments (A/B tests) to evaluate the effectiveness of new risk controls and product features.
  • Develop robust data pipelines, algorithms, and tooling using Python and SQL to support real-time data ingestion and model scoring for the KYC/KYB process.

Soft Skills

Fraud DetectionAnti-Money LaunderingKycKybFintechCross-Functional CollaborationProduct MindsetPresentation SkillsProblem-Solving

Culture

Diverse LeadershipInclusive HiringMission-DrivenCross-Functional Teams

Requirements

Regions: Us

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About Wise
Industry: fintech

Wise is a global technology company building a new network for managing the world's money with minimal fees, maximum ease, and full speed. They are on a mission to make international payments and money management easier and more affordable for individuals and businesses.

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