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Senior Data Scientist Fraud Prevention

Job in Laval, Province de Québec, H0A, Canada
Listing for: RBC
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Lead innovative fraud detection strategies as a Senior Data Scientist at RBC in Toronto. Utilize advanced analytics and machine learning to enhance client experience while reducing fraud risk.

In this full-time role, you will be responsible for developing and optimizing commercial payment fraud detection strategies. With over three years of analytics experience, you will leverage your programming skills in R, SQL, and Python to identify emerging fraud trends and improve existing techniques. Collaboration with various teams will ensure the implementation of best practices and project deadlines are met.

Key Responsibilities:

• Implement innovative analytical methodologies for fraud detection

• Collaborate on machine learning and AI projects

• Monitor and enhance fraud detection performance through reporting

• Prioritize fraud detection alerts across platforms

• Develop and document fraud analytics best practices

Requirements:

• 3+ years in analytics or data science, handling large datasets

• Strong knowledge of R, SQL, Python or similar tools

• Superior analytical and critical thinking capabilities

• Exceptional communication skills for diverse audiences

• Degree in mathematics, statistics, or related field

Apply your analytical expertise to drive fraud detection improvements and client satisfaction at RBC in Toronto.
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Position Requirements
10+ Years work experience
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