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Fraud Analytics Jobs in Toronto, ON (NOW HIRING)

To learn more about CIBC, please visit CIBC.com What you'll be doing Analyst, Fraud Controls will be responsible for identifying, analyzing and conducting investigations of client transaction ...

To learn more about CIBC, please visit CIBC.com What you'll be doing Analyst, Fraud Controls will be responsible for identifying, analyzing and conducting investigations of client transaction ...

We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our Fraud, Losses, and Financial Crime ...

Showing results 21-40

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 Sep 4, 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:

Infographic showing various Fraud Analytics job openings in Toronto, ON as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $89,560 per year, or $43.1 per hour.

Senior Analyst, Fraud Strategy

Momentum Financial Services Group

Toronto, ON โ€ข Hybrid

Full-time

Medical, Dental

Re-posted 5 days ago


Key responsibilities

  • Develop and monitor fraud-related dashboards, detect risky signals, and conduct analysis to uncover underlying drivers.

  • Develop, implement, and optimize fraud prevention strategies to mitigate fraud risks and control losses.

  • Partner with internal teams and external vendors to implement solutions, monitor their performance, and identify automation opportunities.


Job description

Who We Are

At Momentum Financial Services Group, we help people move forward by reimagining how money works for those who need it most. With more than 40 years of experience, we're the team behind Money Mart-Canada's largest non-bank branch network and a leader in financial solutions for underserved communities.

From short-term loans to money transfers and prepaid cards, we power the products, technology, and operations that connect over a million customers a year to the money they need, when they need it.

At MFSG, we come together across teams and departments to create something bigger than ourselves: solutions that remove barriers and give people access to money they might not get anywhere else. Whether you're solving problems, building systems, or shaping strategy, your work fuels real support for real people.

We've Got You Covered

  • Compensation Philosophy:ย Our strategy is simple-we aim to match the market. We regularly review industry standards to ensure our total rewards package is competitive and fair. This commitment helps us attract and retain talented individuals who share our purpose.
  • Discretionary Annual Bonus:ย Enjoy the opportunity for a discretionary bonus based on individual performance and company success.
  • Comprehensive Benefits:ย Our benefits include health and dental plans with 100% of the premiums covered. We also offer an Employee Assistance Program to support your mental well-being and provide resources for personal challenges.
  • Retirement Plans:ย Plan for your future with our robust retirement savings options, ensuring you're set for the long haul.
  • Hybrid Work Environment:ย Experience the best of both worlds with our hybrid work model, allowing you to balance remote work with in-office. When you're at our corporate head office, enjoy a relaxed and collaborative environment featuring breakout rooms for brainstorming and unwinding, plus a variety of snacks to keep you energized throughout the day.
  • Perks and Rewards:ย Enjoy reimbursement for tuition assistance and professional development, discounts through Perkopolis and participate in our rewards and recognition programs to celebrate your contributions.

The Job: Senior Analyst, Fraud Strategy

As a Senior Analyst, Fraud Strategy you will be accountable for the daily fraud prevention activities at Momentum that ensure applicable fraud rules, processes and reporting are in place to fend off fraudulent loans. This involves assessing different types of fraud-related risks for all our consumer lending products across North America, adopting industry-leading solutions, developing/deploying fraud prevention strategies and tracking strategy performance for continuous improvement on loan and credit card origination fraud avoidance.

Howย You'llย Make an Impact:

  • Develop and monitor fraud-related dashboards, detect risky signals and conduct analysis to uncover underlying drivers.ย  Develop and implement fraud strategies leveraging data, advanced analytics tools and business acumen to mitigate fraud losses and maintain optimal customer experience

  • Optimize existing strategies effectively to control fraud risks including stolen/forged identity and first-party malicious intent. Design A/B tests and understand the risk and customer experience trade-offs.

  • Identify automation opportunities in day-to-day data extraction, performance tracking and analysis, and execute on them to improve productivity.ย 

  • Continue to innovate by testing new data, analytics approaches and models. Communicate findings and recommendations effectively to all levels of management

  • Partner with Credit, Product, Ops, IT, and external vendors to implement solutions/strategies and monitor their performance

  • Assess and implement fraud mitigation strategies that effectively minimize losses.

Education + Experience

  • Bachelor's or Master's degree in a relevant field such as Decision Science, Data Science, Mathematics, Statistics, Computer Science, Engineering, Finance, or Economics.
  • Required; 3+ years of experience in fraud risk management focusing on strategy, implementation and launching fraud prevention and detection solutions for Fintech, Banking, or other e-commerce.ย 

  • Familiarity with 3rd-party Fraud prevention solutions, preferably within the financial services industry. Proven track record in acquisition/origination fraud and credit management space.

  • Understand the organizational and financial impact of decisions, ensuring actions are aligned with business objectives.

  • Strong strategic thinking with ability to provide insights and provide recommendations to drive continuous improvements to strategies and mitigate risk.

  • Ability to work independently, while seeking guidance when needed.

  • Collaborate effectively with colleagues, providing coaching and problem-solving support to enhance team performance.

  • Shares information effectively with peers and stakeholders. Listens actively and resolves basic misunderstandings.

  • Handles moderately complex problems by analyzing data and applying judgment within defined methods.

  • Experience working at consumer lending companies in the U.S. is a plus.

Please note: The salary range for this position is between C$ 95,000 - C$ 105,000.

Ready to apply your fraud strategy expertise to make a real impact? Join us and help shape the future of risk at MFSG. Apply today and let's build the future of MFSG, together.

Committed to Equal Opportunity:ย 
MFSGย is committed to accommodating applicantsย up to the point of undue hardship during the recruitment,ย assessmentย and selection process. If you are selected for anย interview,ย please notifyย MFSGย if you require accommodation in respect of the materials or procedures used at any time during this process. If you require accommodation, MFSGย will work with you toย determineย how to meet your needs.ย 

Please note: The salary range for this position is between C$ 95,000 - C$ 105,000.ย