8 часов назад
Senior Quantitative Risk Manager - BSA/AML (Hybrid)
148 300 - 247 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Quantitative Risk Manager - BSA/AML (Python/SAS): Managing the full lifecycle of statistical and machine learning models for banking risk management with an accent on model governance, regulatory compliance, and large-scale data analysis. Focus on developing production-quality analytics, leading model validation and monitoring, and managing Quantitative Analysts and Modelers.
Location: Hybrid, 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: $148,300–$247,100 annual USD
Company
M&T Bank is a banking and financial services organization.
What you will do
- Design, develop, test, validate, implement, and monitor statistical and machine learning models across the full model development lifecycle.
- Partner with business and compliance stakeholders to define requirements and develop scalable analytical solutions.
- Analyze transaction, customer, entity, behavioral, and demographic data and present insights to senior management.
- Prepare model documentation and support model risk management, governance, audits, and regulatory reviews.
- Develop and maintain production-quality analytics using Python and SAS.
- Manage and develop Quantitative Analysts and Modelers, including staffing, performance, compensation, and skills development.
Requirements
- Bachelor’s degree with at least 10 years of related experience, including four years of supervisory or management experience; alternatively, a relevant master’s degree with at least eight years of related experience, including four years of supervisory or management experience.
- Banking or financial services experience.
- Experience with SAS, SAS Enterprise Miner, and other statistical software packages.
- Advanced knowledge of SQL and Microsoft Office.
- Ability to manipulate and analyze data across large databases and communicate complex concepts clearly.
- Ability to work in the office four days per week at one of the listed United States locations.
Nice to have
- Extensive experience developing and monitoring statistical and machine learning models.
- Experience leading models from concept through production.
- Strong proficiency in both Python and SAS.
Culture & Benefits
- Work within regulated risk management and internal control frameworks.
- Collaborate with internal and external partners, consultants, vendors, and peer banks.
- Promote an inclusive environment reflecting the M&T Bank brand.
- Receive fair, competitive, and market-informed compensation.
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