Senior Fraud Analytics Consultant — AI/ML for Risk

EY; Toronto; On-site; CAD 91,000 - 136,000; Full time

Benefits offered by this job

Coaching and feedback from engagingcol

Career development opportunities

Flexible work arrangements

Job summary

EY is seeking Senior Consultants in Canada’s Fraud Risk Consulting practice, focusing on fraud analytics, detection, and data science. You will apply AI, ML, and advanced analytics to strengthen fraud prevention for financial institutions and payments ecosystems, contributing to client proposals and innovation initiatives.

You will work with fraud SMEs, business stakeholders and technology teams to deliver analytical solutions, dashboards, and governance practices across multiple fraud risk

Qualifications

• 3+ years of fraud analytics, data science, machine learning, or quantitative risk management within financial services or consulting.
• Experience with banks, credit unions, payment organizations, fintechs, or fraud risk teams.
• Proficiency in SQL and at least one analytics language (Python, R, or SAS).
• Experience with PowerBI.

Responsibilities

• Design, validate, and deploy fraud detection rules and models across banking and payment products.
• Analyze large datasets to identify fraud patterns and improve detection.
• Collaborate with fraud SMEs, business stakeholders and technology teams to translate challenges into analytic use cases.
• Develop fraud dashboards and management reporting to track trends and key risk indicators.
• Present analytical findings to senior client stakeholders in a clear, business-oriented manner.
• Contribute to business development activities and innovative fraud analytics initiatives.

Skills

SQL

Python

R

SAS

Tools

PowerBI

Job description

EY is seeking Senior Consultants in Canada’s Fraud Risk Consulting practice, focusing on fraud analytics, detection, and data science. You will apply AI, ML, and advanced analytics to strengthen fraud prevention for financial institutions and payments ecosystems, contributing to client proposals and innovation initiatives.

You will work with fraud SMEs, business stakeholders and technology teams to deliver analytical solutions, dashboards, and governance practices across multiple fraud risk