Data Scientist, North America Onboarding Team
Posted
Tech Stack
Machine LearningPythonSQLGitAnomaly DetectionSupervised LearningUnsupervised LearningReal-Time Data AnalysisStatistical AnalysisSparkSnowflakeLarge Language Models
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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