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About the Role

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.

Responsibilities

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.

Requirements

At least three years of experience in fraud analytics, data science, machine learning, quantitative risk management, or advanced analytics within financial services or consulting.
Experience working with banks, credit unions, payment organizations, fintechs, or fraud risk teams.
Experience designing, testing, tuning or evaluating fraud-detection scenarios, thresholds or risk indicators.
Strong understanding of fraud detection methodologies, fraud operations, transaction monitoring, or financial crime analytics.
Experience manipulating and analyzing large-scale datasets and developing practical analytical solutions.
Proficiency in SQL and experience with at least one analytical programming language or platform, such as Python, R, or SAS.
Experience with PowerBI.

Skills

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.
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.
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.
Strong interest in emerging fraud trends, AI technologies, and analytical methodologies.
Proactive approach to experimentation, innovation, and continuous learning.
Commitment to ethical AI principles, model governance, and responsible use of data.
Ability to thrive in diverse teams and collaborative environments.

Location

Toronto

Work Type

Full-time

Experience Level

Senior Consultant

Salary/Compensations

$90,500 to $136,000

Benefits

Comprehensive medical, prescription drug and dental coverage
Defined contribution pension plan
Vacation policy
Firm-paid days
Statutory holidays
Paid personal days based on province of residence
Range of programs and benefits designed to support your physical, financial and social well-being
Support, coaching and feedback from engaging colleagues
Opportunities to develop new skills and progress your career
The freedom and flexibility to handle your role in a way that's right for you

About the Company

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions.
Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
At EY, we use artificial intelligence (AI) tools as one element of our recruitment process to enhance efficiency and improve the candidate experience. While AI supports us in our process, human judgment and decision-making remain integral in our candidate experience. We are committed to the responsible use of AI, and our practices are continuously reviewed and refined to ensure they align with ethical principles and regulatory requirements.

Equal Opportunity

Inclusiveness is at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.
Learn about our commitment to Inclusiveness at https://www.ey.com/en_ca/about-us/corporate-responsibility/equity