2 дня назад
Data Analyst II (Fraud)
100 000 - 125 000CAD
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst II (Fraud) (SQL/Python/Fintech): Building fraud models, dashboards, and risk metrics for global money-transfer products with an accent on fraud detection, customer verification, and reducing false positives. Focus on analyzing large transaction and onboarding datasets, evaluating A/B tests, and developing actionable fraud-control strategies.
Location: Burnaby, BC, Canada; hybrid work with 2–3 days per week in the Vancouver office
Salary: CAD 100,000–125,000 annual base salary, plus equity and additional compensation components
Company
provides secure digital financial services for customers sending and managing money across borders.
What you will do
- Analyze fraud data including chargebacks, promotional abuse, scams, and onboarding risk.
- Build data-driven fraud models, dashboards, and risk metrics to monitor exposure and system performance.
- Collect, normalize, and analyze legacy data, transaction logs, and onboarding-system data to identify trends and anomalies.
- Partner with Product, Engineering, Business Management, and Compliance to improve customer verification, KYC, KYB, and compliance workflows.
- Design and evaluate experiments and A/B tests to measure fraud-control effectiveness and reduce false positives.
- Provide actionable insights that influence fraud-detection strategies, tools, and automation.
Requirements
- 3+ years of experience in analytics or fraud/risk analysis, preferably in fintech, e-commerce, or digital payments.
- Experience with fraud or trust analytics and fraud taxonomies such as chargebacks, identity theft, scams, onboarding risk, and promotional abuse.
- Bachelor’s degree in mathematics, engineering, economics, or another quantitative discipline, or equivalent experience.
- Proficiency with SQL and hands-on experience analyzing large datasets.
- Ability to define business problems, develop hypotheses, perform analysis, and communicate clear recommendations.
- Strong data storytelling and communication skills.
Nice to have
- Experience with Python, R, or statistical modeling.
Culture & Benefits
- Connected Work Culture with an in-office expectation of at least 50% of the time monthly for corporate team members.
- Four weeks of vacation.
- Health, mental health, and family-forming benefits.
- RRSP plan with company match, ESPP, life insurance, and disability coverage.
- Continuing education and travel benefits.
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