Fraud Risk Consultant (Toronto)

Job Title: Fraud Risk Consultant

Location: Etobicoke, ON (On-site, Versatile Hybrid Model after 3 Months)

Job Type: Full-time

Our client, a rapidly growing fintech platform, is redefining how people pay, save, and earn rewards. With hundreds of thousands of users and partnerships with top-tier brands, they are now seeking a Fraud Risk Consultant to lead fraud prevention initiatives through advanced data modelling and risk strategy. This is a high-impact role ideal for professionals with a strong foundation in fraud analytics, data science, and model development, particularly those looking to make a tangible difference in a fast-paced, data-driven environment.

Key Responsibilities

• Analyze transactional data to identify fraud patterns, anomalies, and abuse vectors, such as account takeovers, payment fraud, and scalping activity.
• Build and maintain rule-based systems and statistical models to detect and mitigate fraud in real time.
• Design and test fraud detection logic incorporating behavioural, transactional, and technical indicators (e.g., IP, device ID, BIN, velocity).
• Collaborate with engineering, product, and compliance teams to implement fraud controls and improve operational workflows.
• Create and maintain dashboards, reports, and documentation to monitor fraud KPIs and model performance.
• Stay informed on emerging fraud tactics, tools, and trends within the fintech and digital payments landscape.

Qualifications

• Minimum 4 years of experience in fraud risk analysis or data science within fintech, e-commerce, or financial services (Senior consultant level applicants welcome).
• Proficiency in SQL and Python, with demonstrated experience building fraud models or scoring systems.
• Strong understanding of fraud signals and risk indicators, including device data, IP address, user behaviour, and transaction velocity.
• Experience with statistical modeling or machine learning techniques (e.g., logistic regression, decision trees, XGBoost) is a strong asset.
• Proven ability to work with large datasets and translate insights into actionable risk mitigation strategies.
• Excellent communication skills and the ability to collaborate across both technical and non-technical teams. A self-starter with a data-driven mindset and a proactive approach to solving complex problems.