The Fraud Strategy & Analytics team works cross-functionally with Machine Learning, Product, Engineering, and Fraud Operations to combat fraudulent activities and to foster a safe platform.
What You'll Do
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Help support our team's fraud monitoring, detection and mitigation efforts
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Participate in a rotation serving as a main point of contact for fraud escalations
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Research emerging fraud trends by analyzing data and monitoring key fraud metrics to proactively identify and address potential risks
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Quickly respond to fraud rings and implement new strategies to mitigate emerging fraud threats and vulnerabilities
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Assist with development of our fraud monitoring strategy and identify any potential gaps
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Work closely with our cross functional partners to help improve our fraud decisioning systems
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Assist with evaluation and development of new external or internal features and signals to improve our fraud detection capabilities
What We Look For
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EXPERIENCE - Minimum 1 year of experience in fraud prevention, risk management, or related fields, including prior experience with data analytics in the finance or lending industry preferred.
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TECHNICAL SKILLS - Proficiency with data analysis using SQL is required. Strong analytical skills with the ability to identify patterns, trends, and anomalies in data are essential. Hands-on experience using a scripting language, such as Python or R, for data analysis is preferred.
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PRODUCT KNOWLEDGE - Passion for understanding and enhancing fraud detection systems to effectively identify and mitigate fraudulent activities.
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INDUSTRY KNOWLEDGE - Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development
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COMMUNICATION - Ability to communicate findings and recommendations clearly to both technical and non-technical audiences
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MULTI-TASKING - Strong time management skills and the ability to handle multiple projects and priorities
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EDUCATION - Bachelor’s degree in a quantitatively rigorous field like engineering, statistics, math, finance, economics desired
Base Pay Grade - I
Equity Grade - 3
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
CAN base pay range per year: $90,000 - $130,000
Location - Remote Canada
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