8 часов назад
Senior Quantitative Risk Analyst - BSA/AML (Hybrid - see job descriptions for potential work locations)
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): Developing and monitoring statistical and machine learning models for banking and anti-money-laundering risk with an accent on large-scale transaction data, model governance, and regulatory documentation. Focus on preparing analytical datasets, supporting validation and audit processes, and identifying model performance issues in a regulated environment.
Location: Hybrid; in-office work four days per week 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 and financial services organization operating in a regulated environment.
What you will do
- Support the design, development, testing, implementation, and monitoring of statistical and machine learning models.
- Prepare, transform, and analyze large datasets, including transaction, customer behavior, and entity data.
- Translate business problems into analytical approaches in collaboration with senior quantitative risk professionals.
- Develop and maintain analytical code using Python and/or SAS.
- Contribute to model documentation, methodology, assumptions, monitoring frameworks, validation, audit, and regulatory review.
- Monitor model performance, identify limitations and risk-related issues, and collaborate with EDD, FIU, Technology, and Model Risk Management stakeholders.
Requirements
- Bachelor’s degree in Mathematics, Statistics, Quantitative Analysis, or another technical discipline, with at least three years of relevant experience; equivalent education and work experience may be considered.
- Alternatively, a master’s degree in a quantitative discipline with at least one year of relevant experience may qualify.
- At least three years of relevant experience, including banking or financial services experience.
- Experience developing analytical solutions with Python and/or SAS.
- Ability to work in the specified hybrid arrangement with in-office attendance four days per week.
- Ability to follow internal controls, risk standards, policies, and regulatory expectations.
Nice to have
- Master’s degree in a quantitative discipline.
- Experience with AML/BSA, model validation, or model risk management.
- Familiarity with machine learning techniques.
Culture & Benefits
- Work within a regulated banking environment focused on risk management and control standards.
- Collaborate across Enterprise Due Diligence, Financial Intelligence Unit, Technology, and Model Risk Management functions.
- Support an environment that promotes belonging and reflects the M&T Bank brand.
- Compensation is market-informed and based on the candidate’s knowledge, skills, and experience.
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