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Fraud Operations Jobs in Toronto, ON (NOW HIRING)

High 5 Games

DevOps Engineer

Toronto, ON · Remote

We're looking for a DevOps Engineer to help design, build, and optimize the cloud infrastructure ... Bonus points if you've worked in gaming , real-time fraud detection , or AI-driven personalization ...

Capital One

Operations Lead

Toronto, ON · On-site

Take full end-to-end accountability for key operational portfolios (including Fraud queues and broader Servicing ecosystems), navigating ambiguity and "white space" to build, scale, and optimize ...

Zurich Insurance Group

Claims Data Analyst

Toronto, ON · On-site

CA$65K - CA$85K/yr

Bachelor's Degree and 2+ years of experience in claims, fraud, analytics, business intelligence, investigations, insurance operations, or a related field. * Strong analytical skills with the ability ...

Td

Data Scientist II

Markham, ON · On-site

CA$81K - CA$115K/yr

You would manage evolving fraud threats while taking into consideration TD risk appetite, Customer and operational experience. With strong technical, analytics background you would join the team to ...

Vancity

Director, Payments Technology

Toronto, ON · On-site +1

... fraud, reduce losses, and protect member confidence across all channels. * A collaborative influencer - Skilled at aligning architecture, risk, digital, operations, and external partners such as ...

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Fraud Operations information

See Toronto, ON salary details

$9

$26

$57

How much do fraud operations jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for fraud operations in Toronto, ON is $26.56, according to ZipRecruiter salary data. Most workers in this role earn between $17.43 and $32.81 per hour, depending on experience, location, and employer.

What is fraud operations?

Fraud Operations refers to the processes and teams within an organization that are responsible for detecting, investigating, and preventing fraudulent activities. This typically involves monitoring transactions, analyzing patterns for suspicious behavior, and coordinating with other departments to minimize financial losses. Professionals in Fraud Operations use specialized tools and techniques to identify and stop fraud in real time, while also ensuring compliance with relevant laws and regulations. Their work is critical in protecting both the organization's assets and its customers.

What are the key skills and qualifications needed to thrive in fraud operations, and why are they important?

To thrive in Fraud Operations, you need strong analytical skills, attention to detail, and a background in finance, criminal justice, or a related field. Familiarity with fraud detection software, case management systems, and possibly certifications like Certified Fraud Examiner (CFE) are typically expected. Excellent communication, problem-solving abilities, and discretion help professionals excel in investigating and preventing fraudulent activities. These skills are crucial for accurately identifying fraud, minimizing financial loss, and maintaining organizational integrity.

What are some common challenges faced by professionals in fraud operations, and how can I prepare for them?

Fraud Operations professionals often encounter challenges such as staying ahead of rapidly evolving fraud tactics, managing high volumes of alerts, and balancing fraud prevention with a positive customer experience. Adapting to new technologies and regulatory requirements is also crucial. To prepare, it's helpful to develop strong analytical skills, stay updated on industry trends, and be comfortable working in a fast-paced, collaborative environment where clear communication with investigators, technology teams, and customer service is essential.

What is the difference between Fraud Operations vs Fraud Analyst?

AspectFraud OperationsFraud Analyst
CredentialsTypically requires experience in fraud detection, certifications like CFE or ACFE beneficialOften requires similar certifications, with a focus on data analysis and investigation skills
Work EnvironmentOperational teams handling process management, case escalation, and fraud prevention strategiesAnalytical teams focusing on investigating fraud cases, analyzing data, and identifying patterns
Employer & Industry UsageUsed across banking, e-commerce, and financial services for managing fraud prevention workflowsCommonly found in similar industries, focusing on case analysis and detection

Fraud Operations and Fraud Analyst roles both involve combating fraud but differ in focus. Fraud Operations manages the overall process, case escalation, and prevention strategies, while Fraud Analysts focus on investigating specific cases and analyzing data to identify fraud patterns. Both roles require relevant certifications and are vital in the fight against fraud within financial and e-commerce sectors.

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

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

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

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

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

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

Fraud Operations jobs near you
Infographic showing various Fraud Operations job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $55,237 per year, or $26.6 per hour.

DevOps Engineer

High 5 Games

Toronto, ON • Remote

Contractor

Posted 6 days ago

Job description

We’re looking for a DevOps Engineer to help design, build, and optimize the cloud infrastructure powering our machine learning operations. You’ll play a key role in scaling AI models from research to production — ensuring smooth deployments, real-time monitoring, and rock-solid reliability across our Google Cloud Platform (GCP) environment.

You’ll work hand-in-hand with data scientists, ML engineers, and other DevOps experts to automate workflows, enhance performance, and keep our AI systems running seamlessly for millions of players worldwide.

What You’ll Do

  • Manage, configure, and automate cloud infrastructure using tools such as Terraform and Ansible.
  • Implement CI/CD pipelines for ML models and data workflows, focusing on automation, versioning, rollback, and monitoring with tools like Vertex AI, Jenkins, and DataDog.
  • Build and maintain scalable data and feature pipelines for both real-time and batch processing using BigQuery, BigTable, Dataflow, Composer, Pub/Sub, and Cloud Run.
  • Set up infrastructure for model monitoring and observability — detecting drift, bias, and performance issues using Vertex AI Model Monitoring and custom dashboards.
  • Optimize inference performance, improving latency and cost-efficiency of AI workloads.
  • Ensure overall system reliability, scalability, and performance across the ML/Data platform.
  • Define and implement infrastructure best practices for deployment, monitoring, logging, and security.
  • Troubleshoot complex issues affecting ML/Data pipelines and production systems.
  • Ensure compliance with data governance, security, and regulatory standards, especially for real-money gaming environments.

What We’re Looking For

  • 3+ years of experience as a DevOps Engineer, ideally with a focus on ML and Data infrastructure.
  • Strong hands-on experience with Google Cloud Platform (GCP) — especially BigQuery, Dataflow, Vertex AI, Cloud Run, and Pub/Sub.
  • Proficiency with Terraform (and bonus points for Ansible).
  • Solid grasp of containerization (Docker, Kubernetes) and orchestration platforms like GKE.
  • Experience building and maintaining CI/CD pipelines, preferably with Jenkins.
  • Strong understanding of monitoring and logging best practices for cloud and data systems.
  • Scripting experience with Python, Groovy, or Shell.
  • Familiarity with AI orchestration frameworks (LangGraph or LangChain) is a plus.
  • Bonus points if you’ve worked in gaming, real-time fraud detection, or AI-driven personalization systems.