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Fraud Analytics Jobs in Toronto, ON (NOW HIRING)

Transunion

Principal, Fraud Analytics

Burlington, ON · On-site

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.

CIBC US

Consultant, Fraud Analytics

Toronto, ON · Hybrid

You will also conduct ongoing data analysis associated with rules management within CIBC's fraud mitigation systems. Thereby, implementing new strategies and continuous improvement to existing ...

SearchLabs

Senior Fraud Analyst

Markham, ON · Hybrid

CA$90K - CA$110K/yr

Background Expectations Bachelor's degree with Risk Management, Data Analytics, Criminology, or a related field. Experience in fraud prevention, fraud analysis, or credit risk management.

Zurich Insurance Group

AVP, Claims Analytics

Toronto, ON · On-site

CA$140K - CA$170K/yr

Lead fraud analytics initiatives, including emerging fraud pattern identification, indicator optimization, and collaboration with claims and fraud teams. * Advance predictive analytics capabilities ...

Zurich Insurance Group

Claims Data Analyst

Toronto, ON · On-site

CA$65K - CA$85K/yr

This role will help strengthen Zurich Canada's ability to identify potential claims fraud, leakage, unusual patterns, and emerging risk indicators through data, analytics, and business insight. The ...

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All JobsFraud Analytics JobsFraud Analytics Jobs in Toronto, ON

Fraud Analytics information

See Toronto, ON salary details

$25.8K

$89.6K

$141.2K

How much do fraud analytics jobs pay per year?

As of Aug 24, 2026, the average yearly pay for fraud analytics in Toronto, ON is $89,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,712.00 and $115,475.00 per year, depending on experience, location, and employer.

What is fraud analytics?

Fraud analytics is the process of using data analysis, statistical methods, and machine learning techniques to detect, prevent, and investigate fraudulent activities within an organization. Professionals in this field analyze large sets of transactional and behavioral data to identify patterns and anomalies that may indicate fraud. Fraud analytics is commonly used in industries such as banking, insurance, retail, and e-commerce to minimize financial losses and protect customers. The role often involves working with specialized software and collaborating with other teams to implement effective anti-fraud strategies.

How does a fraud analytics professional typically collaborate with other departments within an organization?

Fraud Analytics professionals frequently work cross-functionally, partnering with teams such as IT, compliance, risk management, and customer service. They analyze data to identify suspicious activities and then communicate findings to relevant stakeholders, often participating in investigations or recommending process improvements. Effective collaboration ensures that fraud detection strategies stay up-to-date and align with broader organizational goals, making strong communication skills and teamwork essential for success in this role.

What are the key skills and qualifications needed to thrive as a fraud analytics professional, and why are they important?

To thrive in Fraud Analytics, you need strong analytical abilities, proficiency in statistics, and experience with data analysis, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with data mining tools, SQL, Python, machine learning platforms, and certifications like Certified Fraud Examiner (CFE) are typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data patterns and presenting findings to stakeholders. These skills are crucial for detecting fraudulent activities, minimizing financial risks, and supporting organizational integrity.

What is the difference between Fraud Analytics vs Fraud Prevention Specialist?

AspectFraud AnalyticsFraud Prevention Specialist
Primary FocusAnalyzing data to detect and predict fraudulent activitiesImplementing strategies and actions to prevent fraud
Skills & CertificationsData analysis, statistical tools, SQL, certifications like Certified Fraud Examiner (CFE)Customer service, risk management, fraud detection techniques, certifications like CFE
Work EnvironmentData analysis teams, financial institutions, tech companiesCustomer support centers, financial institutions, retail
GoalsIdentify patterns, develop models, improve detection accuracyReduce fraud incidents, enhance prevention measures

While both roles aim to combat fraud, Fraud Analytics focuses on analyzing data to identify and predict fraudulent activities, whereas Fraud Prevention Specialists implement measures to prevent fraud from occurring. Both roles often collaborate but serve different functions within fraud management strategies.

How do I become a fraud analyst?

To become a fraud analyst, typically a bachelor's degree in finance, accounting, or a related field is required. Relevant skills include data analysis, knowledge of fraud detection tools, and familiarity with databases and reporting software; certifications like Certified Fraud Examiner (CFE) can enhance prospects. Gaining experience through internships or entry-level roles in finance or security is also beneficial.

How much does a fraud analyst get paid?

A fraud analyst's salary typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications or specialized skills can earn higher salaries. Many roles also include benefits such as bonuses and professional development opportunities.

Is fraud analysis a good career?

Fraud analysis is a growing field within risk management that involves detecting and preventing fraudulent activities using data analysis and investigative skills. It offers opportunities for advancement, requires knowledge of analytics tools, and often involves working in financial or e-commerce environments. The role can be stable and rewarding for those interested in security and data-driven decision making.

What does a fraud analytics do?

A fraud analyst uses data analysis techniques to detect and prevent fraudulent activities within financial transactions or business operations. They analyze large datasets, identify patterns of suspicious behavior, and implement strategies to reduce fraud risk, often using tools like SQL, Excel, or specialized fraud detection software. Strong analytical skills and knowledge of fraud schemes are essential for this role.

What are the most commonly searched types of Fraud Analytics jobs in Toronto, ON?

The most popular types of Fraud Analytics jobs in Toronto, ON are:

What are popular job titles related to Fraud Analytics jobs in Toronto, ON?

For Fraud Analytics jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Fraud Analytics jobs in Toronto, ON look for?

The top searched job categories for Fraud Analytics jobs in Toronto, ON are:

Fraud Analytics jobs near you
Infographic showing various Fraud Analytics job openings in Toronto, ON as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 4% Part Time, and 3% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $89,560 per year, or $43.1 per hour.

Principal, Fraud Analytics

Burlington, ON

TransUnion
IT Services • 5 - 10K employees

9.3

Company rating: 9.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

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Learn more about TransUnionexternal

Full-time

Re-posted 15 days ago

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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