Senior Fraud Analyst

This is a fully remote position, open to applicants in Canada.

📋 Description

• Assess fraud trends, attack patterns, account behaviors, transaction activities, payment flows, model outputs, and additional risk signals to detect emerging threats and gaps in controls

• Develop, refine, test, and evaluate fraud rules, risk scoring methods, detection logic, alerts, and decision-making controls

• Track fraud performance metrics and suggest enhancements based on quantifiable outcomes

• Perform root cause analysis on fraud incidents, escalations, unusual activities, missed fraud cases, and control shortcomings

• Collaborate with Product, Engineering, Data Science, Analytics, Compliance, Customer Care, and Operations to implement enhancements in fraud controls

• Contribute to the fraud capability roadmap by identifying opportunities to enhance rules, scoring, AI/ML model performance, identity verification, behavioral signals, vendor tools, automation, and workflows

• Create analyses, recommendations, business cases, and summaries suitable for executive presentation

• Assist in the testing, launch, monitoring, and optimization of new fraud tools, vendor capabilities, detection strategies, and process improvements

• Maintain standard operating procedures (SOPs), reporting routines, control documentation, and governance materials

⛳️ Requirements

• Over 5 years of experience in fraud prevention, detection, strategy, payments risk, digital identity, fintech, banking, e-commerce, tax, or financial services fraud programs

• Practical experience in designing, tuning, testing, and evaluating fraud rules, risk scoring strategies, detection logic, alerts, fraud controls, or automated decision-making workflows

• Strong analytical skills utilizing dashboards, Excel, SQL or data querying tools, model outputs, transaction trends, case analysis, and operational data

• Experience in monitoring and enhancing fraud performance metrics such as fraud losses, fraud capture rates, false positives, manual review volumes, operational efficiency, and customer experience

• Proven ability to identify root causes, correlate patterns across data sources, and convert complex fraud signals into targeted control recommendations

• Experience collaborating with Product, Engineering, Data Science, Analytics, Compliance, Customer Care, and Operations teams

• Familiarity with fraud tools, vendor platforms, rules engines, risk scoring systems, alerting processes, workflow tools, or real-time decision-making environments

• Practical understanding of AI/ML fraud model outputs, performance monitoring, feature evaluation, or data-driven decision-making

• Excellent communication skills

• Ability to maintain tact and empathy under pressure

• Highly driven individual

🏝️ Benefits

• Inclusive and accessible candidate experience

• Recruitment accommodations available upon request

• Confidential AI-assisted interview note-taking using Google Gemini