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Associate Fraud Analyst Jobs in Toronto, ON (NOW HIRING)

Define and execute the vision for fraud analytics, aligning with business goals and client needs ... We strive to build an environment where our associates are in the driver's seat of their ...

Fraud: Strategy Analysts are responsible for developing the defences and policies to mitigate fraud ... with associates in other job families such as Data Scientists and Product Managers, working to ...

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Associate Fraud Analyst information

What does an associate fraud analyst do?

An Associate Fraud Analyst is responsible for detecting and investigating potential fraudulent activities within an organization, often in the financial or retail sector. They review transactions and account activities for signs of fraud, analyze data to spot irregularities, and report suspicious findings to senior staff or law enforcement. Their work helps protect companies and customers from financial losses by identifying and preventing fraud schemes. Associate Fraud Analysts typically use specialized software and follow strict protocols to ensure accuracy and compliance.

What is the difference between Associate Fraud Analyst vs Fraud Investigator?

AspectAssociate Fraud AnalystFraud Investigator
CredentialsHigh school diploma or equivalent; some roles may prefer a bachelor's degreeHigh school diploma; some roles may require certifications like ACFE's CFE
Work EnvironmentOffice setting, analyzing transactions, monitoring fraud alertsOffice or remote, conducting investigations, interviewing witnesses
Employer & IndustryFinancial institutions, credit card companies, e-commerceFinancial institutions, law enforcement, insurance companies
Search & Comparison IntentYes, often compared for entry-level roles in fraud detectionYes, for more in-depth investigation roles

The Associate Fraud Analyst typically handles initial transaction monitoring and fraud alerts, requiring basic analytical skills and industry knowledge. Fraud Investigators perform deeper investigations, often involving interviews and evidence collection. Both roles are essential in combating fraud but differ in scope and complexity.

What are the typical challenges an associate fraud analyst faces when distinguishing between legitimate and suspicious transactions?

As an Associate Fraud Analyst, one of the main challenges is accurately identifying fraudulent activity without causing unnecessary disruptions to legitimate customers. This requires balancing the use of automated detection tools with keen analytical skills to assess nuanced patterns and behaviors. The role often involves reviewing large volumes of transaction data and making quick decisions, which can be stressful but rewarding as you directly help protect both the company and its customers. Collaboration with senior analysts and other departments, such as customer service or compliance, is common to resolve complex cases and improve fraud prevention strategies.

What are the key skills and qualifications needed to thrive as an associate fraud analyst, and why are they important?

To thrive as an Associate Fraud Analyst, you need strong analytical skills, attention to detail, and a background in finance, business, or a related field. Familiarity with fraud detection software, data analysis tools like Excel or SQL, and sometimes certifications such as CFE (Certified Fraud Examiner) are typically required. Excellent problem-solving abilities, effective communication, and integrity are crucial soft skills for this role. These competencies are vital for accurately identifying fraudulent activities, minimizing financial losses, and maintaining organizational trust.
What are the most commonly searched types of Fraud Analyst jobs in Toronto, ON? The most popular types of Fraud Analyst jobs in Toronto, ON are:
What are popular job titles related to Associate Fraud Analyst jobs in Toronto, ON? For Associate Fraud Analyst jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Associate Fraud Analyst jobs in Toronto, ON look for? The top searched job categories for Associate Fraud Analyst jobs in Toronto, ON are:
Infographic showing various Associate Fraud Analyst job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Principal, Fraud Analytics

Transunion

Burlington, ON • On-site

Full-time

Posted 27 days ago


TransUnion rating

9.3

Company rating: 9.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

TransUnion's Job Applicant Privacy Notice

Team Overview

TransUnion, a global leader in risk and information solutions and one of Canada's major credit bureaus, is seeking a visionary and strategic Principal, Fraud Data & Analytics to lead the evolution of our fraud analytics capabilities. This role is responsible for shaping and executing the fraud data strategy, driving innovation in fraud detection and prevention, and positioning TransUnion as a market leader in fraud intelligence. You will support a high-performing team, influence enterprise-wide decision-making, and represent TransUnion's fraud analytics capabilities to clients, partners, and the broader industry. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Role Overview And Core Responsibilities

As the Principal, Fraud Data & Analytics, you will lead the strategic development and execution of advanced analytics and data-driven solutions to combat fraud across our client portfolio. You will play a pivotal role in shaping our fraud detection capabilities, driving innovation, and delivering measurable value to our partners. Your responsibilities will include:

Strategic Leadership: Define and execute the vision for fraud analytics, aligning with business goals and client needs. Lead cross-functional initiatives to enhance fraud detection, prevention, and mitigation strategies.

Innovation & R&D: Lead the development of advanced fraud detection models using AI/ML, behavioral analytics, and real-time data. Drive research into emerging fraud patterns and new analytical techniques.

Client-Facing Expertise: Serve as a trusted advisor to clients, translating complex fraud trends and data insights into actionable recommendations. Support pre-sales and post-sales engagements with analytical thought leadership.

Data Science & Modeling: Oversee the development of machine learning models, rules engines, and anomaly detection systems to identify and prevent fraudulent activity. Ensure models are explainable, scalable, and continuously optimized.

Product & Platform Collaboration: Partner with product, technology, and data science to embed analytics into our fraud solutions. Influence product roadmaps with data-driven insights and emerging fraud trends.

Performance Monitoring: Establish KPIs and dashboards to monitor fraud trends, model performance, and operational effectiveness. Lead root cause analyses and drive continuous improvement.

Industry Thought Leadership: Stay ahead of evolving fraud tactics, regulatory changes, and technology advancements. Represent the company at industry events, panels, and client forums.

Financial Stewardship: Manage budgets related to fraud analytics tools, data partnerships, and vendor relationships. Provide ROI analysis and business cases for strategic investments.

You will be instrumental in shaping the future of fraud prevention at TransUnion. You will drive innovation, elevate our market presence, and ensure our solutions remain at the forefront of the industry. Your leadership will directly influence product development, client success, and the protection of consumers and businesses across Canada and beyond.


Required Knowledge And Experiences

  • 10+ years of experience in Fraud analytics, data science, and/or financial crime risk, with at least 5 years in a leadership role.
  • 5 + Years of experience in Credit Risk, Collection and/or account management
  • Proven track record of delivering enterprise-scale fraud detection solutions and measurable business impact.
  • Deep expertise in fraud typologies (e.g., 1st, 2nd, 3rd party fraud, identity theft, money laundering), data science, and machine learning.
  • Strong technical proficiency in tools such as Python, R, SQL, and cloud-based data platforms.
  • Exceptional communication and stakeholder management skills, with the ability to influence at all levels, including executive leadership and external clients.
  • Experience presenting at industry conferences or contributing to thought leadership in fraud analytics or financial crime.
  • Advanced degree in a quantitative field such as statistics, mathematics, computer science, or engineering is preferred.

This job posting is for an existing vacancy. The opening is the result of a newly created position.

Accommodation is available, including for applicants with disabilities, in accordance with applicable laws.


TransUnion Overview:

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver's seat of their professional development- while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that's why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.

Be a part of our Workforce for Good - you'll work with great people, pioneering products and cutting-edge technology.


TransUnion's Internal Job Title:

Principal, Product Management

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