Senior/Lead Risk Analyst, Payment fraud
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Before you apply
SalaryCA$150k – CA$170k
LocationEtobicoke, Canada
Typefull-time
SeniorityLead
Experience5+ yrs
DepartmentRisk
Company size1+ people
PostedMay 6, 2026 · 6mo ago
Verified live18h ago
May no longer be actively hiring
Posted by the company on May 6, 2026
At a glanceSummarised by Seekless from the posting.
Minimum 5 years of professional work experience
Minimum 3 years in a fraud-related role
Minimum 1 year in the payments industry
Experience working with various payment methods in multi-currency environments, ideally within e-commerce or related industries
Proven ability to investigate and identify fraudulent activities, including hands-on experience with transaction reviews and fraud case analysis
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
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
Strong problem-solving skills and reverse-engineering thinking, with the ability to anticipate and predict potential risks from a fraudster's perspective
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
Python (good-to-have)
Proficiency in Mandarin Chinese is an asset but not required
Skills
SQL
Python
R
Sklearn
XGBoost
LightGBM
Benefits
Health insurance
401(k)
Unlimited PTO
Remote stipend
About the role
At Snaplii, risk management isn’t a “brake” on growth—it’s the “supercharger” that enables our 300% explosive expansion. We aren’t looking for analysts who just read reports; we want strategists who can reverse-engineer fraud loops and command AI to automatically sever risks.
About Snaplii
Snaplii is one of Canada’s fastest-growing fintech platforms, with $100M+ in annual transaction volume and 350,000+ users across North America, Snaplii connects consumers with 500+ leading brands across everyday categories — enabling smarter spending with instant savings and rewards.
Today, Snaplii is evolving beyond a digital wallet into infrastructure for AI-native commerce — enabling secure, programmable transactions between users, brands, and AI agents.
AI drives demand. Snaplii executes the transaction.
About the Role
We are looking for a Risk Leader with deep fraud expertise and raw analytical horsepower. 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
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Lead the end-to-end development and execution of financial risk strategies—from opportunity identification to design, testing, launch, and post-production performance monitoring.
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Identify, investigate and monitor fraudulent or anomalous activity, including isolating and quantifying specific trends driving changes to fraud and payment patterns.
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Analyze internal and external data and produce authoritative reports and root-cause analysis on fraudulent activities and chargebacks.
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Experienced in collaborating with engineers and product managers to successfully deploy fraud prevention solutions that balance growth with risk control.
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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
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The ideal candidate is an accountable and resilient team-player who brings a combination of business instincts, technical skills and raw analytical horsepower necessary to support the rapid growth of Snaplli’s business.
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Minimum 5 years of professional work experience; Minimum 3 years in a fraud-related role; Minimum 1 year in the payments industry.
•
Experience working with various payment methods in multi-currency environments, ideally within e-commerce or related industries.
•
Proven ability to investigate and identify fraudulent activities, including hands-on experience with transaction reviews and fraud case analysis.
•
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.
•
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 but not required.
Why Join Us
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Building AI-Native Payments
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Powering how AI agents transact in the real world.
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Explosive Growth
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300%+ revenue & TPV growth in 2025, with accelerating momentum into 2026.
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Small Team, Massive Scale
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<40 people. A lean & high-performance team where every decision moves revenue, risk, and user experience.
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AI-First Engineering Culture
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90%+ of code is AI-assisted. Engineers focus on architecture and complex problems
Compensation
The base pay range for this role is CA$150,000 – CA$170,000 per year.