• Build the modeling and analytics function and take ownership of model documentation, tuning, and partner with engineering for model development. • Develop and execute the modeling and analytics roadmap supporting the company’s Financial Crimes Compliance program. • Partner with senior Compliance, Product, and Data leaders to translate regulatory requirements into effective analytical frameworks. • Champion analytical excellence, model governance, and innovation in AML and Sanctions detection approaches. • Design, implement, and maintain statistical and machine learning models for transaction monitoring, sanctions screening, customer risk scoring, and alert optimization. • Ensure models and rules have appropriate documentation in line with Mercury’s Model Risk Management framework, draft new documentation for existing models as needed. • Evaluate and tune existing detection models and rules to reduce false positives while maintaining regulatory rigor. • 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 to ensure compliance with internal and regulatory standards.

Mercury is building a complete finance stack for startups. We work hard to create the easiest and safest banking* experience possible to simplify entrepreneurs' and business owners’ financial lives. The challenge is to do so while ensuring we protect Mercury, customers and the broader financial ecosystem from bad actors and harmful, illegal or unauthorized activities. Mercury*, while not a bank itself, is an important part of the U.S. financial ecosystem. Mercury provides banking services to ambitious entrepreneurs, and in so doing, must play a part in also working to root out bad actors and prevent them from accessing or abusing the U.S. financial system. The BSA/AML & Sanctions compliance team serves as the oversight function for the overall AML & Sanctions program. As the Sr Manager, Financial Crimes Modeling and Analytics, you’ll 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. This technical position requires a strong analytical background with the ability to drive programs forward. This Sr. Manager of Modeling and Analytics will collaborate closely with risk strategy, engineering, and compliance teams to build and oversee models that effectively detect and mitigate financial crimes risks. *Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC As part of the journey, we would expect you to: - Build the modeling and analytics function and take ownership of model documentation, tuning, and partner with engineering for model development. - Develop and execute the modeling and analytics roadmap supporting the company’s Financial Crimes Compliance program. - Partner with senior Compliance, Product, and Data leaders to translate regulatory requirements into effective analytical frameworks. - Champion analytical excellence, model governance, and innovation in AML and Sanctions detection approaches. - Design, implement, and maintain statistical and machine learning models for transaction monitoring, sanctions screening, customer risk scoring, and alert optimization. - Ensure models and rules have appropriate documentation in line with Mercury’s Model Risk Management framework, draft new documentation for existing models as needed. - Evaluate and tune existing detection models and rules to reduce false positives while maintaining regulatory rigor. - 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 to ensure compliance with internal and regulatory standards. There are lots of paths that could lead you to be successful in a role like this; we think the strongest candidates will have some of this experience: - 5-8 Years of experience leading modelling and analytics functions for financial crimes compliance. - Ability to build and scale the function, including hiring, establishing norms, and delivering excellence along the roadmap - Establish regular reporting for modelling and analytics - Identify areas of opportunity to increase efficiency and precision of the transaction monitoring and sanctions screening program. - Highlight and escalate deficiences in the program and develop a solutions oriented approach for executive leadership. - Have the technical writing skills to translate code into plain english and vice versa. The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. Our target new hire base salary ranges for this role are the following: - US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $239,000 - 298,800 - US employees outside of the New York City, Los Angeles, Seattle or the San Francisco Bay Area: $215,100 - 268,900 Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. 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. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. [Please see the independent bias audit report covering our use of Covey for more information.] #LI-DNI

• Develop and execute the overall sales strategy across all major global markets, ensuring alignment with the company’s global growth objectives. • Supporting high-value deals and negotiations, acting as a Subject Matter Expert. • Drive revenue growth through strategic planning, ensuring sales targets and business KPIs are met. • Identify new market opportunities, develop regional expansion strategies, and drive sales in key industries. • Conduct high-level competitive analysis and implement proactive strategies to strengthen market positioning. • Set strategic direction for the new client acquisition. • Work closely with marketing, product, legal, and customer success teams to ensure seamless execution of sales initiatives.

• Conduct end-to-end KYC and KYB reviews for individual, corporate, and institutional clients onboarding to the OTC desk • Verify legal entities, ownership structures, UBOs, source of funds, and source of wealth documentation in line with internal policy and regulatory expectations • Assess customer risk and assign onboarding risk ratings using the company’s AML framework and jurisdiction-specific risk indicators • Perform periodic reviews, trigger event reviews, and remediation of existing client files to maintain complete and accurate compliance records • Review sanctions, PEP, and adverse media screening results and document clear, risk-based decisions • Investigate alerts generated by transaction monitoring, wallet screening, and blockchain analytics tools across fiat and digital asset flows • Escalate unusual activity, high-risk clients, and red-flag cases to senior compliance stakeholders, including the MLRO, with concise case summaries • Support the preparation of internal suspicious activity case files and contribute to SAR/STR drafting where required • Respond to RFIs and compliance questionnaires from banks, liquidity providers, and other counterparties in a timely and professional manner • Maintain strong audit trails across compliance systems and help improve control effectiveness, alert handling, and onboarding workflows