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Remote Fraud Jobs in Toronto, ON (NOW HIRING)

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Remote Fraud information

See Toronto, ON salary details

$11

$28

$64

How much do remote fraud jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote fraud in Toronto, ON is $28.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.96 and $28.45 per hour, depending on experience, location, and employer.

What is a remote fraud job?

Remote fraud jobs involve working from a location outside of a traditional office to detect, investigate, and prevent fraudulent activities in various industries such as banking, e-commerce, and insurance. Professionals in these roles use digital tools and data analysis to identify suspicious transactions, review customer activity, and protect organizations from financial losses. They may also collaborate with law enforcement and other departments to respond to incidents of fraud. Remote fraud specialists must have strong analytical skills, attention to detail, and knowledge of cybersecurity or financial regulations.

What are some common challenges faced by professionals working in remote fraud detection roles?

Professionals in remote fraud detection roles often face challenges such as staying updated on rapidly evolving fraud tactics and maintaining effective communication with team members across different locations. Working remotely can require extra diligence in accessing secure systems and handling sensitive data safely. Additionally, collaborating with cross-functional teams such as IT, legal, and customer support is crucial to investigate and resolve complex fraud cases efficiently. Staying proactive and adaptable is key to success in a fast-paced, ever-changing fraud landscape.

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

To thrive as a Remote 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, and relevant certifications such as Certified Fraud Examiner (CFE) are commonly required. Excellent problem-solving, communication, and decision-making abilities set top performers apart in this position. These skills are crucial for accurately identifying fraudulent activity, minimizing financial risk, and ensuring organizational security in a remote work environment.

What is the difference between Remote Fraud vs Remote Fraud Analyst?

AspectRemote FraudRemote Fraud Analyst
CredentialsTypically requires knowledge of fraud prevention, certifications like CFE or CFCS beneficialRequires similar certifications, often with experience in fraud detection and analysis
Work EnvironmentRemote, often part of a fraud prevention or security team within a companyRemote, usually within a security or risk management department
Industry UsageUsed broadly across finance, e-commerce, banking, and insurance sectorsCommonly found in finance, banking, and online retail industries

Remote Fraud refers to the broader role of preventing and managing fraud remotely across various industries. Remote Fraud Analyst is a specific position focused on analyzing fraud cases, detecting patterns, and implementing prevention strategies. While both roles require similar skills and certifications, the Fraud Analyst typically performs detailed investigations and analysis, whereas Remote Fraud may encompass broader responsibilities in fraud prevention strategies.

More about Remote Fraud jobs

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

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

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

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

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

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

What cities near Toronto, ON are hiring for Remote Fraud jobs?

Cities near Toronto, ON with the most Remote Fraud job openings:

Remote Fraud jobs near you
Infographic showing various Remote Fraud job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $59,517 per year, or $28.6 per hour.

Data Scientist, International

DoorDash Canada

Toronto, ON • On-site, Remote

Full-time

Re-posted 26 days ago

Job description

About the Team

The Analytics team is looking for Data Analysts and Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our logistics platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash.

About the Role

Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. It is NOT just about building Machine Learning models and putting them into production. This is a rare operational and actionable data-driven experience. 

We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!

You're excited about this opportunity because you will...
  • Be a first-class thought partner to our product, business, finance and executive teams and help them make decisions on what's next for DoorDash
  • Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
  • Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools
  • Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings
  • Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends
  • Identify and measure levers to help move essential metrics and make recommendations
  • Possess excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering and set priorities
  • Be excited to travel to meet with business partners and the teams in each market
We're excited about you because... 
  • 3+ years of experience in data analytics, consulting, or related role
  • The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
  • The determination to initiate and lead/own strategic projects to completion with a cross-functional team
  • Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing
  • Proficiency in at least one programming language (Python, R,...)
  • Expertise with SQL queries, ETLs, etc... 
  • Proficiency in one or more analytics & visualization tools
  • Experience building and training statistical and machine learning models (classifiers, regression models...)

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

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