Senior Data Scientist - Fraud Strategy

Position: RBC Senior Data Scientist - Fraud Strategy
Join RBC as a Senior Data Scientist in Toronto and spearhead efforts in fraud detection and strategy innovation. Utilize deep analytical skills to protect clients while cutting costs.

This essential full-time role focuses on enhancing commercial payment fraud detection strategies through developed analytical methods. With a minimum of three years of analytics experience, you will engage in machine learning projects and work collaboratively on technology improvements. Utilizing your programming expertise in languages like R and Python, you will be pivotal in identifying and mitigating fraud risks.

Key Responsibilities:

• Develop strategies for non-traditional fraud detection channels

• Collaborate on initiatives within Data Science & Innovation

• Leverage reporting to fine-tune fraud detection strategies

• Ensure accurate rule deployments and balance client experience

• Contribute to Fraud Management projects and analytics best practices

Requirements:

• 3+ years in analytics or data science roles

• Proficient in R, SQL, Python, or similar programming languages

• Critical thinking and complex problem-solving skills

• Excellent communication and presentation abilities

• Degree in a quantitative discipline, like mathematics

Make impactful changes in fraud detection methodologies and enhance client trust at RBC.
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