Senior/Lead Risk Analyst, Payment fraud

Snaplii • Chicago, IL

10h • Remote

About The Position

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. Location: Toronto, Canada / Remote (initial 1–2 month onsite onboarding in Toronto, compensated)

Requirements

• 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.
• 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.

Nice To Haves

• Python (good-to-have).
• Proficiency in Mandarin Chinese is an asset but not required.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level