Financial Crimes Compliance Modeling & Analytics Manager

🕒 July 7

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🌲 Oregon – Remote

💵 $149.9k - $208.3k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📉 Data Analyst

🦅 H1B Visa Sponsor

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Mercury

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

💳 Fintech

🏦 Banking

☁️ SaaS

Fintech • Banking • SaaS

Mercury is a software-driven fintech that provides business and personal banking products built for startups and small to mid-size companies. Its platform offers business checking and savings, Treasury products, business credit cards and spend management, payments and invoicing, accounting integrations and AI-powered automations, plus APIs and developer tools. Mercury partners with FDIC-insured banks to offer deposit protection, emphasizes virtual cards, granular spend controls, and workflow automations for teams, agencies, ecommerce brands, VC funds, and crypto businesses. The product is positioned as an all-in-one banking and finance platform delivered through a modern app and API.

📋 Description

• Use SQL and other analytical tools to conduct in-depth analysis of Mercury's customers, transactions, alerts, TM rules, risk ratings, and more • Use data-driven methods to improve, design, implement, and maintain Mercury's FCC models • Develop bespoke transaction monitoring rules and sanctions screening logic • Partner with Compliance, Product, and Data leaders to translate regulatory requirements into effective analytical frameworks • Know how to tell stories with data • Interpret analytics outputs to pinpoint which alerts, patterns, or anomalies signal genuine risk • Develop and maintain detailed documentation on the configuration of FCC models • Evaluate and tune existing detection models and rules to reduce false positives • Develop data-driven methods to identify new typologies, emerging risks, and evolving financial crime trends • Partner with Model Risk Management to support validation and performance monitoring of models

🎯 Requirements

• Bachelor's degree in a quantitative field (e.g. Computer Science, Engineering, Statistics, Mathematics, or related) • 8+ years of experience conducting in-depth data analytics • 5+ years in FCC or AML/Sanctions related analytics roles • Deep understanding of AML and Sanctions fundamentals, including both principles and regulations • Outstanding skills with standard analytical tools; top-notch SQL skills required, experience with Python or similar preferred • Experience developing, tuning, and maintaining machine learning or rule-based detection models • Experience identifying ways to improve data-related and operational efficiencies • High agency and adaptability • Comfort operating with ambiguity • Exceptional attention to detail

🏖️ Benefits

• base salary • equity (stock options/RSUs)