Lead Risk Analyst, Payment Fraud POST NUMBER: 288762

About the Opportunity Lead the full lifecycle of financial risk strategy development and implementation—from identifying opportunities to designing, testing, launching, and monitoring post-production performance. Detect, investigate, and track fraudulent or suspicious activities, including identifying and quantifying key trends impacting fraud and payment behaviors. Analyze both internal and external datasets to deliver detailed reports and root-cause analyses on fraud incidents and chargebacks. Collaborate closely with engineers and product managers to implement fraud prevention solutions that support business growth while maintaining strong risk controls. Serve as the primary point of contact with payment processors and vendors, leveraging strong communication skills to manage relationships, align on risk strategies, and navigate industry terminology. Experienced in handling transactions across multiple currencies, including USD, CAD, and others. About You: The ideal candidate is a reliable and resilient team player who combines strong business judgment, technical expertise, and advanced analytical skills to support Snaplli’s rapid growth. Minimum of 5 years of professional experience, including at least 3 years in a fraud-related role and 1 year within the payments industry. Experience working with multiple payment methods in multi-currency environments, preferably in e-commerce or similar industries. Demonstrated ability to investigate and detect fraudulent activity, with hands-on experience conducting transaction reviews and fraud case investigations. Strong background in data modeling (3 years), including building fraud detection models, user behavior scoring systems, and transaction anomaly detection models. Experience with feature engineering, model training, evaluation, and deployment is required. Experience integrating models into risk systems to support automated, model-driven fraud prevention processes. Proficiency with machine learning frameworks (Python or R using tools such as Sklearn, XGBoost, or LightGBM) and experience deploying models in production environments. Strong SQL skills (required) with the ability to independently query and analyze large datasets; Python experience is a plus. Previous experience in roles such as Fraud Analyst, Risk Analyst, Operations Specialist, Data Scientist, or Product Manager. A bachelor’s degree in Engineering, Computer Science, Statistics, Finance, or a related analytical or technical discipline is preferred. Strong problem-solving and analytical thinking abilities, including the capacity to think from a fraudster’s perspective to anticipate and mitigate risks. Mandarin Chinese proficiency is considered an asset but is not required. Pay Range: $110,000 - $160,000 per year How to Apply Click the “Apply Now” button and follow the instructions to submit your resume. Please know that we only accept documents in MS Word or Rich Text formats. When referencing this job, quote # 471336 This position for employment is for a current vacancy with Vaco/Highspring’s client. You must currently reside within the Greater Toronto Area and be permitted to work in Canada to be considered for this opportunity. A recruiter will be in touch with you if your profile meets our client’s requirements for this role. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.