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Responsibilities:
- Use SQL and other analytical tools to conduct in-depth analysis of Mercury's customers, transactions, alerts, TM rules, risk ratings, and more.
- Develop bespoke transaction monitoring rules and sanctions screening logic designed to address Mercury's specific AML and sanctions risk.
- Partner with Compliance, Product, and Data leaders to translate regulatory requirements into effective analytical frameworks.
Qualifications:
- Bachelor's degree in a quantitative field with 8+ years of experience in data analytics, ideally 5+ years in FCC or AML/Sanctions roles.
- Outstanding SQL skills required, experience with Python or similar preferred, and familiarity with modern ML tooling a plus.
- Experience developing, tuning, and maintaining machine learning or rule-based detection models.
Compensation & Culture:
- Base salary ranges vary by location, with equity and benefits included in total rewards.
- Mercury values diversity and is an Equal Employment Opportunity employer, committed to providing accommodations for applicants with disabilities.
Mercury
Mercury is building a complete finance stack for startups, providing banking services through partner banks. As a fintech company, they focus on creating a safe and easy banking experience while protecting against bad actors, with a culture of high agency and adaptability.