Indirect Lending Quantitative Risk Analyst Lead

Overview:

Perform advanced data and credit risk analysis to identify and quantify risks in M&T’s $19B Indirect lending portfolios.  Support unit (dept.) in data analysis, portfolio deep dives, and loss estimation activities. Provide oversight and credit risk expertise during effective challenge efforts.

Primary Responsibilities:

• Lead Retail Quantitative Analysts in performing portfolio deep dives, asset quality monitoring, and interpreting data with a risk management focus with an understanding of business strategy.
• Mentor and supervise the work of junior team members and assist in the development of their analytics acumen in areas such as segmentation analysis, logistic regression, decision trees and data visualization.
• Demonstrated working knowledge of Credit Risk databases to provide data and analytical support to Senior Management.
• Perform data manipulation and analysis using SQL, SAS and Microsoft Excel and present results and recommendations to Credit Risk Management.
• Track portfolio performance and risk strategy results. Incorporate observations and data in to existing models to improve predictive results.
• Understand and adhere to the Company’s risk 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 internal control 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.

Education and Experience Required:

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.

Education and Experience Preferred:

Credit Analysis experience

Location