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RBC

Senior Data Scientist, Fraud Applied AI and Innovation

TORONTOonsitesenior

Posted today · via Workday

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About this role

Job Description What's the opportunity? You will apply machine learning, artificial intelligence and advanced analytical methodologies to support Fraud Management’s key priorities. Your work will focus on developing predictive models for improving fraud detection capabilities, optimizing existing productivity tools, creating automated workflows to replace manual processes, designing forward thinking and innovative solutions to complex problems, etc. You will represent the Applied AI & Innovation team as a Subject Matter Expert (SME) on projects and initiatives across Credit & Fraud Management (CFM) and collaborate with multiple stakeholders at varying levels of seniority. You will also assist in developing best practices for analytical processes.…

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What we'd score you on

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Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, sql, express, kubernetes, docker…

2

Level fit

This role is senior-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in TORONTO. We weight your proximity and willingness to relocate.

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Skills in this role

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pythonsqlexpresskubernetesdockergitteams

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