Punt is entering an exciting new phase of growth, with new products and verticals launching alongside our existing business. With that growth comes new revenue streams, new fund flows, new systems, and plenty of interesting finance problems to solve.

We are seeking a detail-oriented Fraud Prevention Analyst to join our Risk team, based on-site at our Vancouver head office. This role is critical to protecting our online platform from fraudulent activity, minimizing financial losses, and ensuring a protected experience for our customers. This position requires close collaboration with our Customer Support, Product, and Engineering teams. The ideal candidate combines strong quantitative skills with 2–4 years of hands-on experience with fraud prevention, chargeback mitigation in electronic payments and data analysis.

What You'll Do

Monitor transactions in real time to identify, investigate, and mitigate fraudulent activity

Analyse chargeback and large datasets to detect emerging fraud patterns and trends

Develop, test, and refine fraud detection rules and models with moderate autonomy

Manage and resolve chargebacks, disputes, and payment reconciliation issues end-to-end

Collaborate closely with Customer Support, Product, and Engineering teams to improve fraud controls and customer experience

Prepare regular reports on fraud metrics, loss trends,



and key risk indicators for leadership

Stay current on payment fraud trends, regulations, and industry best practices

Identify and help implement process improvements to reduce false positives and fraud losses

Mentor junior analysts or support onboarding as needed

What You Bring

Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field

Experience with fraud detection platforms or tools

2–4 years of experience working with electronic payments within North America, including chargeback processes and dispute resolution

Demonstrated experience analyzing and working with large datasetsStrong critical thinking and problem-solving skills, with the ability to work with moderate independence

Excellent attention to detail and sound judgment in ambiguous situations

Strong communication skills, with the ability to translate data insights into actionable recommendations for both technical and non-technical stakeholders

Must be able to work on-site at our Vancouver office

Legally entitled to work in Canada

Nice to Have

Familiarity with machine learning concepts applied to fraud/risk modelling

Prior experience in e-commerce specifically

Hands on experience with SQL, Python, R, or similar tools

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📌 Fraud Prevention Analyst (British Columbia)
🏢 Punt
📍 British Columbia