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8 часов назад

Senior Quantitative Risk Manager - BSA/AML (Hybrid)

148 300 - 247 100$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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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