Senior Machine Learning Engineer II – FinCrime

Overview

As IC3 Machine Learning Engineer in Wise’s Risk ML and Intelligence team, you will safeguard the quality of label data that train our risk models by building the integrity layer of the label platform. You’ll define and monitor statistical metrics, automate audits, and ensure data reliability for model training and deployment. You’ll work cross-functionally with Risk Intelligence, Data Engineering, and Product to scale robust ML infrastructure. This role offers the chance to impact fraud detection and money-laundering risk in a fast-growing fintech environment. You will operate in a customer-first, autonomous engineering culture and contribute to shaping scalable risk analytics.

Pay / Benefits

• stock equity grants (RSUs vesting over 4 years)
• starting salary 111,000 – 145,000
• benefits
• hybrid work model
• career growth opportunities

Responsibilities

• Build, scale, and maintain the integrity layer of the label platform for Risk ML models
• Define, implement, and monitor statistical fundamentals and quality metrics for data and labels
• Design automated audit processes to evaluate and monitor label quality over time
• End-to-end work on ML model training, evaluation, and pipeline deployment
• Collaborate with cross-functional partners across Risk Intelligence, Data Engineering, and Product

Key requirements

• Degree in STEM (Computer Science, Mathematics, Statistics, Physics, Chemistry, Electrical Engineering, or related quantitative field)
• Strong mathematical and statistical fundamentals with practical data analytics experience
• Hands-on ML lifecycle experience (training, evaluation, deployment)
• Proficiency in Python or Java for data scripting and production engineering, plus advanced SQL
• Experience building static data pipelines, deep-dive data analysis, and data visualization to understand statistics

• cross-functional collaboration
• data-driven decision making
• problem solving
• Python
• Java
• SQL

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