Senior Consultant - Fraud Analytics

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

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

• 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 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.

Ideally, you'll also have

• Bilingual (English/French) considered an asset.
• Hands-on experience developing and validating predictive models using Python, R, SQL, SAS, or similar analytical tools.
• Experience with payment fraud, card fraud, account takeover, digital banking fraud, or first-party fraud.
• Knowledge of MLOps, model governance, explainable AI, and model monitoring practices.
• Exposure to graph analytics, network analytics, entity resolution, or behavioural analytics.
• Exposure to practical uses of generative AI or AI-assisted analytics in fraud risk management is an asset.
• Experience applying supervised and unsupervised machine learning techniques—including gradient boosting, random forests, anomaly detection, clustering, and neural networks to fraud detection problems is considered an asset.

What We Offer

At EY, our Total Rewards package supports our commitment to creating a leading people culture built on high-performance teaming, where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. We offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. Our Total Rewards package includes comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a vacation policy, firm-paid days, statutory holidays and paid personal days based on province of residence, and a range of programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

• 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

EY reports salary ranges in accordance with applicable provincial pay transparency legislation. Individual salaries within the anticipated salary ranges noted below are determined through a wide variety of factors including but not limited to internal equity, education, relevant experience, knowledge, and applicable skill sets.

• Toronto: $90,500 to $136,000

Inclusiveness at EY

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 athttps://www.ey.com/en_ca/about-us/corporate-responsibility/equity

EY | Building a better working world

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.

To all recruitment agencies: EY does not accept unsolicited resumes from recruitment agencies. Any resumes submitted without a prior agreement or request from our hiring team will not be considered. EY is not responsible for any fees related to unsolicited resumes.