Fraud Data Scientist: ML & Risk at Scale

Nubeero Limited; Toronto; On-site; CAD 120,000 - 170,000; Full time

Job summary

Stripe is seeking a Data Scientist to join the Fraud Data Science team. You will develop models powering fraud detection and loss management, collaborating closely with Fraud Engineering and Risk Operations to transition research to production, and derive data-driven insights to shape fraud strategy across the business.

Ideal candidates will apply supervised/unsupervised learning, causal inference, and experimentation to high-impact risk problems in global payments, with strong communication

Qualifications

• Experience with Fraud, Risk or Financial Crimes.
• Proficiency in SQL and Python or R.
• Experience working with cross-functional teams to deliver results.
• Ability to communicate results clearly and drive impact.

Responsibilities

• Build and improve models powering fraud detection and loss management systems.
• Move models from research to production with Fraud Engineering and Risk Operations.
• Surface insights to shape fraud strategy across the business.

Skills

SQL

Python

R

Cross-functional collaboration

Communication of results

Model development

Education

PhD

MS

BS

Tools

Spark

Hadoop

Job description

Stripe is seeking a Data Scientist to join the Fraud Data Science team. You will develop models powering fraud detection and loss management, collaborating closely with Fraud Engineering and Risk Operations to transition research to production, and derive data-driven insights to shape fraud strategy across the business.

Ideal candidates will apply supervised/unsupervised learning, causal inference, and experimentation to high-impact risk problems in global payments, with strong communication