6 дней назад
Senior Quantitative Risk Analyst (BSA/AML)
85 800 - 143 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Quantitative Risk Analyst (BSA/AML) (Python/SAS/ML): Developing, testing, implementing, and monitoring statistical and machine learning models for AML risk management in a regulated banking environment with an accent on large-scale transaction data, model governance, and regulatory documentation. Focus on preparing analytical datasets, supporting model validation and audits, monitoring model performance, and addressing complex risk and compliance requirements.
Location: Hybrid position requiring in-office work four days per week at an M&T office in Buffalo, NY; Bridgeport, CT; Baltimore, MD; Timonium, MD; Wilmington, DE; or New York, NY.
Salary: $85,800–$143,000 annual USD.
Company
M&T Bank is a banking organization operating in a regulated financial services environment.
What you will do
- Support the design, development, testing, implementation, and monitoring of statistical and machine learning models for AML risk management.
- Prepare, transform, and analyze large datasets including transactions, customer behavior, and entity data.
- Develop and maintain analytical code using Python and/or SAS.
- Contribute to model documentation covering methodology, assumptions, monitoring frameworks, and limitations.
- Support model validation, audits, regulatory reviews, and performance monitoring.
- Collaborate with EDD, FIU, Technology, Model Risk Management, and senior quantitative risk managers.
Requirements
- Bachelor’s degree in Mathematics, Statistics, Quantitative Analysis, or another technical discipline, or an approved equivalent combination of education and experience.
- At least 3 years of relevant experience, including banking or financial services experience; a master’s degree may qualify with at least 1 year of relevant experience.
- Experience developing analytical code with Python and/or SAS.
- Ability to work with large datasets and contribute to statistical or machine learning model development.
- Ability to support model governance, internal controls, validation, audit, and regulatory requirements.
- Ability to work in the office four days each week at one of the specified U.S. locations.
Nice to have
- Master’s degree in a quantitative discipline.
- Experience in AML/BSA, model validation, or model risk management.
- Familiarity with machine learning techniques.
Culture & Benefits
- Work within a regulated banking environment with defined risk, regulatory, and internal control standards.
- Collaborate across quantitative risk, compliance, technology, and financial intelligence functions.
- Contribute to an environment that supports belonging and reflects the M&T Bank brand.
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