Senior Consultant - Fraud Analytics

At EY, we’re all in to shape your future with confidence.   We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.   Join EY and help to build a better working world.    The opportunity   We currently have career opportunities for Senior Consultants within our Canadian Fraud Risk Consulting practice with a focus on fraud analytics, detection and data science. Our team helps financial institutions transform fraud risk management through the application of data, artificial intelligence, machine learning, and advanced analytical techniques in an increasingly complex threat landscape.   Emerging technologies, evolving fraud typologies, and real-time payment ecosystems require organizations to enhance their fraud detection capabilities with sophisticated analytical solutions. We help financial institutions strengthen fraud prevention and detection using data analysis, statistical methods, machine learning, and practical improvements to fraud processes and technology.   This job posting relates to an existing vacancy within our organization.   Your key responsibilities   As a Senior Consultant, you will work directly with clients and multidisciplinary EY teams to deliver advanced analytics, machine learning, and data-driven fraud risk solutions. Responsibilities include:

Design, develop, validate, and deploy fraud detection rules and models across banking and payment products. Analyze large and complex datasets to identify emerging fraud patterns, trends, vulnerabilities, and opportunities for enhanced fraud mitigation. Collaborate with fraud SMEs, business stakeholders, and technology teams to translate business challenges into analytical use cases and model requirements. Support the development of fraud risk strategies across payments, account takeover, identity fraud, synthetic identity, money movement, and emerging fraud typologies. Develop fraud dashboards and management reporting to track fraud trends, losses, detection performance, operational outcomes, and key risk indicators. Contribute to data preparation, feature engineering, and model monitoring activities that support sustainable fraud analytics programs. Present analytical findings and recommendations to senior client stakeholders in a clear, business-oriented manner. Contribute to business development activities, proposals, thought leadership, and innovation initiatives focused on fraud analytics, AI, and emerging technologies. Evaluate fraud rules or models using measures such as fraud capture, false-positive rates, precision, recall, operational impact, and financial outcomes.

Skills and attributes for success   Advanced Analytical Mindset

Strong quantitative, statistical, and problem-solving capabilities. Ability to transform large volumes of structured and unstructured data into actionable insights. Passion for leveraging AI, machine learning, and advanced analytics to solve complex fraud challenges.

High-Performance Teaming

Demonstrated ability to collaborate across data science, engineering, fraud operations, and business teams. Experience managing workstreams and contributing to project delivery within consulting or financial services environments.

Strong Communication Skills

Ability to communicate technical concepts, model outcomes, and analytical findings to both technical and non-technical audiences. Experience creating executive-ready presentations, reports, and client deliverables.

Curiosity and Innovation

Strong interest in emerging fraud trends, AI technologies, and analytical methodologies. Proactive approach to experimentation, innovation, and continuous learning.

Integrity and Inclusiveness

Commitment to ethical AI principles, model governance, and responsible use of data. Ability to thrive in diverse teams and collaborative environments.

To qualify for the role you must have

At least three