- Страна
- США
- Зарплата
- 215 100 $ – 298 800 $
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Senior Manager - BSA/AML & Sanctions Modeling and Analytics
Исключительно привлекательная вакансия в топовом финтехе с высокой компенсацией и возможностью влиять на стратегию безопасности. Предлагается конкурентный пакет, включая опционы, и гибкий формат работы.
Сложность вакансии
Высокая сложность обусловлена необходимостью сочетать глубокие технические знания в области машинного обучения с экспертными знаниями в сфере комплаенса (BSA/AML). Роль подразумевает создание функции с нуля, что требует лидерских качеств и опыта прохождения регуляторных проверок.
Анализ зарплаты
Предлагаемая зарплата ($215k - $298k) находится на верхней границе рыночного диапазона для Senior Manager в области AML-моделирования в США, особенно для сектора финтех. Это значительно выше средних показателей по банковскому сектору, что отражает высокую ответственность и техническую сложность роли.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Manager position for BSA/AML & Sanctions Modeling and Analytics at Mercury. With extensive experience in building and scaling financial crimes compliance functions, I am impressed by Mercury’s commitment to creating a safe and seamless banking experience for startups. My background in developing data-driven transaction monitoring and sanctions screening models aligns perfectly with your mission to protect the financial ecosystem from illicit activities.
In my previous roles, I have successfully led modeling teams to reduce false positives while maintaining strict regulatory rigor. I possess the technical expertise to design machine learning models and the communication skills to translate complex code into clear documentation for stakeholders and regulators. I am particularly drawn to this role because it offers the opportunity to build the modeling function from the ground up and drive the roadmap for financial crimes analytics in a fast-paced, innovative environment.
I am confident that my expertise in model governance, risk scoring, and cross-functional collaboration with engineering and product teams will allow me to make an immediate impact at Mercury. I look forward to the possibility of discussing how my analytical leadership can support your compliance program's growth and excellence.
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Откликнитесь в mercury уже сейчас
Присоединяйтесь к Mercury и возглавьте разработку передовых систем борьбы с финансовыми преступлениями в одном из самых успешных финтех-стартапов США.
Описание вакансии
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 Inboundon January 22, 2024.
[Please see the independent bias audit report covering our use of Covey for more information.]
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Навыки
- BSA/AML
- Sanctions Screening
- Transaction Monitoring
- Machine Learning
- Statistical Modeling
- Model Risk Management
- Data Analytics
- SQL
- Python
- Financial Crimes Compliance
Возможные вопросы на собеседовании
Проверка опыта в оптимизации систем мониторинга и понимания баланса между рисками и операционной нагрузкой.
Расскажите о вашем опыте настройки правил транзакционного мониторинга для снижения уровня ложноположительных срабатываний без потери эффективности обнаружения.
Важно понять, как кандидат обеспечивает соответствие моделей внутренним и внешним стандартам.
Как вы подходите к документированию моделей в рамках структуры управления модельными рисками (Model Risk Management)?
Оценка способности кандидата выявлять новые угрозы в динамичной среде финтеха.
Какие методы анализа данных вы используете для выявления новых типологий отмывания денег или обхода санкций?
Роль требует тесного взаимодействия с техническими специалистами.
Опишите ваш опыт взаимодействия с командами инженеров при внедрении аналитических моделей в продакшн-среду.
Проверка лидерских качеств и навыков стратегического планирования.
Как бы вы расставили приоритеты при построении функции моделирования и аналитики в компании на этапе активного роста?
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- Страна
- США
- Зарплата
- 215 100 $ – 298 800 $