Financial Crimes Compliance Modeling & Analytics Manager

🔥 14 hours ago

🏄 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

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Mercury

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2019

💳 Fintech

💸 Finance

☁️ SaaS

Fintech • Finance • SaaS

Mercury is a financial technology company that provides online business banking services, although it is not a bank itself. It partners with FDIC-insured banks like Choice Financial Group, Column N. A. , and Evolve Bank & Trust to offer banking services. Mercury aims to simplify financial operations for startups and businesses by offering a range of services including checking and savings accounts, treasury management, corporate cards, expense management, invoicing, and accounting automations. The platform is designed to streamline various banking tasks and enhance financial workflows with features like fraud monitoring and account security. It also offers investment opportunities through its Mercury Treasury product and startup support through its Mercury Raise platform.

📋 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)