Lead Data Scientist - Fraud Risk
Core
Lead the development and deployment of machine learning models to improve Wise's Receive product performance, focusing on risk mitigation and customer outcomes for international payments.
Role type
Senior IC data scientist (fraud risk & payments)
Builds
Production ML models, scalable data pipelines, and decisioning systems for the Receive product
Domain
Fintech, cross-border payments, fraud risk
Deliverable
production ML models
Required skills
Python, large-scale data processing (Hadoop, Spark, SQL), feature engineering, model selection and evaluation, anomaly detection, supervised and unsupervised learning, statistical analysis, code review (Java), MLOps tools
Preferred skills
Fraud domain expertise, LLM-based solution design, Airflow, MLflow, AWS SageMaker/EMR, CI/CD
Technologies
Python, Hadoop, Spark, SQL, Git, GitHub, Airflow, MLflow, AWS SageMaker, AWS S3, AWS EMR
Responsibilities
Lead development and deployment of ML models for the Receive product; Analyze large volumes of customer and transaction data to identify trends and risks; Design and implement experiments to evaluate product changes; Build scalable modelling approaches for risk management; Collaborate with cross-functional teams to translate business requirements into data science solutions; Develop robust data pipelines and tools for production-grade modelling.
Seniority
Senior, hands-on IC
