Quantitative Risk Analyst Lead

M&T Bank•Buffalo, NY

35d•$103,000 - $171,600

About The Position

We are seeking a highly skilled and analytical Quantitative Risk Analyst Lead to join the Consumer Credit Risk Management team. This role is ideal for someone who thrives on working with large, complex datasets and is passionate about applying advanced analytical techniques to drive data-informed decisions.

Requirements

Bachelor degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, OR in lieu of degree, A combined minimum of 9 years higher education and/or work experience to include a minimum of 5 years relevant experience.
OR- Master's degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, with minimum of 3 years relevant experience, OR in lieu of degree, A combined minimum of 9 years higher education and/or work experience to include a minimum of 3 years relevant experience
Minimum of 5 years relevant 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.

Nice To Haves

Credit Analysis experience

Responsibilities

Lead Quantitative Analysts in establishing, monitoring, evaluating and interpreting data with a credit risk management focus with an understanding of business goals by applying analytical and decision science frameworks. Collaborate with cross-functional teams to translate insights into actionable business strategies.
Mentor and supervise the work of junior team members and assist in the development of their analytical and business acumen for the product lines that the department manages and in areas such as data analysis, segmentation analysis, logistic regression, decision trees and multivariate analysis.
Demonstrate working knowledge of Credit Risk data to provide data and analytical support to Senior Management.
Perform data manipulation and analysis using SAS, Python, SQL and Microsoft Office applications and present results and recommendations to various stakeholders.
Identify deviations from forecast/expectations and explain variances. Identify risk and/or opportunities.
Track portfolio performance and risk strategy results. Incorporate observations and data into existing analytical processes to improve predictive results.
Understand and adhere to the Company's risk governance and regulatory standards, policies and controls in accordance with the Company's Risk Appetite. Identify risk-related issues needing escalation to management.
Promote an environment that supports belonging and reflects the M&T Bank brand.
Maintain M&T risk governance standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
Complete other related duties as assigned.