Location: Toronto, Canada / On-site
Department: Risk & Payments
Compensation: $150K–$200K
About the Role
We are seeking a strategic and data-driven fraud and risk leader to join our Risk & Payments team. This role will shape and implement cutting-edge risk strategies that drive sustainable growth, minimize losses, and enhance the customer experience. The ideal candidate has direct experience in payment fraud detection and prevention, with the ability to spot fraudulent transactions and translate fraud patterns into scalable, data-driven solutions. This role requires a balance of hands-on fraud investigation, SQL-driven analytics, and collaboration with product and engineering teams to design and implement automated fraud controls.
Key Responsibilities
Lead the end-to-end development and execution of financial risk strategies—from opportunity identification to design, testing, launch, and post-production performance monitoring.
Identify, investigate and monitor fraudulent or anomalous activity, including isolating and quantifying specific trends driving changes to fraud and payment patterns
Analyze internal and external data and produce authoritative reports and root-cause analysis on fraudulent activities and chargebacks
Experienced in collaborating with engineers and product managers to successfully deploy fraud prevention solutions that balance growth with risk control.
Act as a liaison between the company and payment processors/vendors, with strong communication skills to speak the industry language, manage vendor relationships, and ensure effective alignment on fraud and risk management.
Qualifications
At least 5 years of professional experience; Minimum 3 years in a fraud-related role; Minimum 1 year in the payments industry.
Experience working with variety of payment methods in multi-currency environment ideally in e-commerce or related industry.
Strong data modeling skills (3+ years): hands-on experience building fraud detection models, user behaviour scoring systems, and transaction anomaly detection models, including feature engineering, model training, evaluation, and deployment.
Proven ability to investigate and identify fraudulent activities, including hands-on experience with transaction reviews and fraud case analysis.
Ability to integrate models with risk systems to enable automated, model-driven fraud prevention workflows.
Proficiency with machine learning frameworks (Python or R with Sklearn, XGBoost, LightGBM, etc.) and prior experience deploying models into production environments.
SQL proficiency (must-have) — able to independently query and analyze large datasets. Python (good-to-have).
Previous experience as a Fraud Analyst, Risk Analyst, Operations Specialist, Data Scientist, or Product Manager. Bachelor’s degree in Engineering, Computer Science, Statistics, Finance, or a related analytical/technical field.
Strong problem-solving skills and reverse-engineering thinking, with the ability to anticipate and predict potential risks from a fraudster’s perspective.
Proficiency in Mandarin Chinese is an asset.
Why Join Us
About Snaplii
Snaplii is one of Canada’s fastest-growing fintech platforms, transforming how people pay, save, and earn rewards. With over $100M in annual transaction volume and 250,000+ users across North America, we deliver unmatched utility and loyalty through a single seamless app.
We’ve ranked as high as #5 on the Apple App Store during peak shopping seasons, and consistently remain in the Top 80—driven by a highly engaged, high-retention user base. As the most payment-flexible platform in the space, Snaplii supports a wide range of digital payment methods and partners with 400+ leading brands, including Walmart, Amazon, and Esso.
Our platform is fully built and maintained in-house—engineered to handle complex payment flows, scale with demand, and support a growing suite of financial products. We’re actively expanding into new digital finance offerings to help users create, manage, and grow value in their everyday lives.
Join us as we shape the future of everyday spending.
