Senior Quantitative Risk Manager - BSA/AML

Reposted 3 Days Ago
Be an Early Applicant
Buffalo, NY, USA
In-Office
148K-247K Annually
Senior level
Fintech
The Role
The role manages the full lifecycle of statistical and machine learning model development, collaborating with stakeholders, and leading a team of analysts.
Summary Generated by Built In
Overview:

This position requires expertise in statistical and machine learning model development within a regulated environment. The role manages the full model development lifecycle—including requirements gathering, development, testing/validation, implementation, and ongoing monitoring—and partners closely with business and compliance stakeholders to deliver analytically sound, well-documented solutions. Development work is performed using both Python and SAS.

Primary Responsibilities:
  • Design, develop, test/validate, implement, and monitor statistical and machine learning models across the full model development lifecycle. 

  • Partner with internal business stakeholders to define modeling requirements and translate them into scalable analytical solutions. 

  • Analyze large, complex datasets (e.g., transaction data, customer/entity attributes, behavioral and demographic data) and present insights to senior management. 

  • Produce clear, defensible model documentation and support governance, validation, and regulatory activities (MRM, audit, regulatory review). 

  • Develop and maintain production-quality analytics using Python and SAS. 

  • Collaborate with internal and external partners to optimize the risk/reward equation and maximize profitability. 

  • Serve as a liaison for Quantitative Risk Management initiatives across business areas, consultants, vendors, and peer banks. 

  • Manage and develop Quantitative Analysts and Modelers, including performance and skills development. 

  • Ensure adherence to risk management frameworks, regulatory standards, and internal controls. 

  • Exercise managerial authority related to staffing, performance, and compensation decisions. 

  • Promote an inclusive environment that reflects the M&T Bank brand. 

Education and Experience Required:

Bachelors’ degree,
OR in lieu of a degree,
A combined minimum of 14 years’ higher education and/or work experience, including a minimum of 10 years’ related experience (inclusive of 4 years supervisory/management experience)
  -OR-
Master’s degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline and a minimum of 8 years’ related experience (inclusive of 4 years supervisory/management experience),
OR in lieu of a degree,
A combined minimum of 14 years’ higher education and/or work experience, including a minimum of 8 years’ related experience and/or (inclusive of 4 years supervisory/management experience). 
Minimum of 10 years’ related experience (inclusive of 4 years supervisory/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 utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions.
Demonstrated ability to communicate complex concepts.
Demonstrated ability to manipulate and analyze data across large databases.

Education and Experience Preferred:
  • Extensive experience with statistical and machine learning model development and ongoing monitoring. 

  • Demonstrated experience leading models from concept through production. 

  • Strong proficiency in both Python and SAS. 

#LI-RS1

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $148,300.00 - $247,100.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.

LocationBuffalo, New York, United States of America

Skills Required

  • Bachelor's degree or equivalent work experience
  • Minimum 10 years' related experience, inclusive of 4 years supervisory experience
  • Experience with SAS and statistical software
  • Advanced knowledge of SQL
  • Experience in Banking or Financial Services

M&T Bank Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about M&T Bank and has not been reviewed or approved by M&T Bank.

  • Retirement Support Retirement benefits are positioned as a strong pillar, including a 401(k) match and the possibility of an additional employer contribution, plus access to an employee stock purchase plan.
  • Leave & Time Off Breadth Time-off offerings are framed as competitive, with a flexible PTO approach and paid volunteer time called out as a meaningful add-on to standard leave.
  • Wellbeing & Lifestyle Benefits Wellbeing support appears comparatively robust, highlighted by mental-health therapy/coaching sessions and broader wellness programming alongside community-oriented perks.

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The Company
Baltimore, MD
21,590 Employees
Year Founded: 1856

What We Do

M&T Bank is a multi-state community-focused bank serving New York, Maryland, New Jersey, Pennsylvania, Delaware, Connecticut, Virginia, West Virginia and Washington, D.C. Founded in 1856, the company provides banking, investment, insurance and mortgage financial services to more than 3.6 million consumer, business and government clients.

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