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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ef745c10-dc6"},"title":"Senior Manager - BSA/AML & Sanctions Modeling and Analytics","description":"<p><strong>Job Title:</strong> Senior Manager - BSA/AML &amp; Sanctions Modeling and Analytics</p>\n<p><strong>About Us:</strong> Mercury is a fintech company that provides banking services to entrepreneurs and businesses.</p>\n<p><strong>Job Description:</strong> We are looking for a Senior Manager to lead our BSA/AML &amp; Sanctions Modeling and Analytics function. The successful candidate will own and drive enhancement of our financial crime (anti-money laundering and sanctions) detection models. This role will own transaction monitoring, sanctions screening, and customer risk scoring models,ensuring they are data-driven, well-governed, and defensible.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build the modeling and analytics function and take ownership of model documentation, tuning, and partner with engineering for model development.</li>\n<li>Develop and execute the modeling and analytics roadmap supporting the company’s Financial Crimes Compliance program.</li>\n<li>Partner with senior Compliance, Product, and Data leaders to translate regulatory requirements into effective analytical frameworks.</li>\n<li>Champion analytical excellence, model governance, and innovation in AML and Sanctions detection approaches.</li>\n<li>Design, implement, and maintain statistical and machine learning models for transaction monitoring, sanctions screening, customer risk scoring, and alert optimization.</li>\n<li>Ensure models and rules have appropriate documentation in line with Mercury’s Model Risk Management framework, draft new documentation for existing models as needed.</li>\n<li>Evaluate and tune existing detection models and rules to reduce false positives while maintaining regulatory rigor.</li>\n<li>Develop data-driven methods to identify new typologies, emerging risks, and evolving financial crime trends.</li>\n<li>Partner with Model Risk Management to support validation and performance monitoring of models to ensure compliance with internal and regulatory standards.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>5-8 years of experience leading modelling and analytics functions for financial crimes compliance.</li>\n<li>Ability to build and scale the function, including hiring, establishing norms, and delivering excellence along the roadmap.</li>\n<li>Establish regular reporting for modelling and analytics.</li>\n<li>Identify areas of opportunity to increase efficiency and precision of the transaction monitoring and sanctions screening program.</li>\n<li>Highlight and escalate deficiencies in the program and develop a solutions-oriented approach for executive leadership.</li>\n<li>Have the technical writing skills to translate code into plain English and vice versa.</li>\n</ul>\n<p><strong>Total Rewards Package:</strong></p>\n<ul>\n<li>Base salary</li>\n<li>Equity (stock options)</li>\n<li>Benefits</li>\n</ul>\n<p><strong>Salary Range:</strong></p>\n<ul>\n<li>US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $239,000 - 298,800</li>\n<li>US employees outside of the New York City, Los Angeles, Seattle or the San Francisco Bay Area: $215,100 - 268,900</li>\n</ul>\n<p><strong>Diversity &amp; Belonging:</strong></p>\n<ul>\n<li>Mercury values diversity &amp; belonging and is proud to be an Equal Employment Opportunity employer.</li>\n<li>All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic.</li>\n<li>We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ef745c10-dc6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mercury","sameAs":"https://www.mercury.com/","logo":"https://logos.yubhub.co/mercury.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/mercury/jobs/5836114004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$215,100 - 298,800","x-skills-required":["Financial Crimes Compliance","Model Development","Statistical Analysis","Machine Learning","Transaction Monitoring","Sanctions Screening","Customer Risk Scoring"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:45:44.429Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, New York, NY, Portland, OR, or Remote within United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Fintech","skills":"Financial Crimes Compliance, Model Development, Statistical Analysis, Machine Learning, Transaction Monitoring, Sanctions Screening, Customer Risk Scoring","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":215100,"maxValue":298800,"unitText":"YEAR"}}}]}