Senior Manager - BSA/AML & Sanctions Modeling and Analytics
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.]
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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
Apply Now