Treasury Quantitative Lead
** Work arrangement/location: Ideally, this will be a hybrid position requiring in-office work three days every week at the Buffalo, NY or the NY, NY office. If the final candidate is not near the Buffalo or NYC office, however, there is a possibility that this would be a remote position.
Overview:
Independently implements, executes, maintains, analyzes and manages quantitative/econometric behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning. May supervise the work of interns and/or lead teams, providing performance feedback to management as appropriate. Provides guidance and direction to less experienced personnel.
Primary Responsibilities:
Lead implementation and execution of quantitative behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning, including but not limited to, loan delinquency, default and loss models... loan prepayment and utilization models, deposit attrition models and financial instrument valuation methods.
Prepare, manage and analyze large customer loan, deposit, or financial data sets for statistical analysis in Structured Query Language (SQL) or similar tool to properly implement and execute quantitative models to understand customer or Bank behavior for the purposes of credit, interest rate, liquidity or stressed capital risk management. Understand the context of the Bank's data and businesses to ensure properly developed models.
Implement and execute models in production environment; communicate analytical results to Bank-wide stakeholders.
Track portfolio performance, model performance, and risk strategy results. Incorporate observations and data in to existing models to improve operation efficiency.
Develop, maintain, and manage satisfactory model implementation documentation, including process narratives guidelines and controls to serve as reference source.
Provide guidance and direction to less experienced personnel regarding all aspects of data and financial analysis and implementation and execution of predictive statistical models.
Conduct business in compliance with regulatory guidance including SR (Supervision and Regulation Letters) 10-1, SR 10-6, SR 11-7, Enhanced Prudential Standards, etc. Adhere to applicable compliance/operational/model risk controls and other second line of defense and regulatory standards, policies and procedures.
Serve as lead in managing Treasury projects and initiatives under guidance and direction of management. Present data, results and/or recommendations to senior management as necessary. May lead teams on either a project or full-time basis, providing performance feedback to management as appropriate.
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 diversity 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.
Scope of Responsibilities:
The position serves as team lead in use of statistical programming languages to analyze Bank datasets and the implementation, execution and maintenance of quantitative models. It is important for the position to communicate with clear narratives, compelling data visualization and technical precision, both in-person and in writing, to enable audiences to understand analysis and forecasts. The position partners and collaborates with colleagues in related functions, including Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management and business lines to implement and understand models for Bank use. The position often leads team-based projects related to implementation and execution. This role is highly technical in nature and requires demonstrated attention to detail, execution and follow-up on multiple initiatives within Treasury and across the Bank. The ability to identify, analyze, rationalize and communicate complex business, data and statistical problems and recommend corresponding solutions while directing the work of others on the team is a key factor of success in this role. The position may supervise the work of interns and/or lead teams of up to three individual contributors, providing performance feedback to management as appropriate. The position also provides guidance and direction to less experienced personnel.
Education and Experience Required:
Bachelor's degree and a minimum of 4 years' proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 8 years' higher education and/or work experience, including a minimum of 4 years' proven quantitative behavioral modeling experience
Minimum of 4 years' experience with pertinent statistical software packages (SAS, Python, Stata, R or equivalent)
Minimum of 4 years' experience with data management environment, such as SQL Server Management Studio
Proven experience managing and analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs
Education and Experience Preferred:
Masters' of Science or Doctorate degree in statistics, economics, finance or related field in the quantitative social, physical or engineering sciences, with proven coursework proficiency in statistics, econometrics, economics, computer science, finance or risk management
Minimum of 5 years' statistical analysis programming experience
Financial Risk Manager (FRM) or Chartered Financial Analyst (CFA) designation
Fluency and high proficiency in econometric/statistical techniques, especially time-series analysis, panel data methods and logistic regression
Experience in mathematical modeling of financial instruments offered by banks
Knowledge and familiarity with key aspects of model risk management and model validation, including SR-11-7 guidance on model risk management
Proven track record for being able to work autonomously and within a team environment
Proven leadership skills
Strong desire to learn and contribute to a group
Previous experience leading and directing the work of less experienced personnel
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $97,869.52 - $163,115.87 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation. The range listed above corresponds to our national pay range for this role. The specific pay range applicable to you may vary based on your location.
Location
Clanton, Alabama, United States of America
Apply Now
Overview:
Independently implements, executes, maintains, analyzes and manages quantitative/econometric behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning. May supervise the work of interns and/or lead teams, providing performance feedback to management as appropriate. Provides guidance and direction to less experienced personnel.
Primary Responsibilities:
Lead implementation and execution of quantitative behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning, including but not limited to, loan delinquency, default and loss models... loan prepayment and utilization models, deposit attrition models and financial instrument valuation methods.
Prepare, manage and analyze large customer loan, deposit, or financial data sets for statistical analysis in Structured Query Language (SQL) or similar tool to properly implement and execute quantitative models to understand customer or Bank behavior for the purposes of credit, interest rate, liquidity or stressed capital risk management. Understand the context of the Bank's data and businesses to ensure properly developed models.
Implement and execute models in production environment; communicate analytical results to Bank-wide stakeholders.
Track portfolio performance, model performance, and risk strategy results. Incorporate observations and data in to existing models to improve operation efficiency.
Develop, maintain, and manage satisfactory model implementation documentation, including process narratives guidelines and controls to serve as reference source.
Provide guidance and direction to less experienced personnel regarding all aspects of data and financial analysis and implementation and execution of predictive statistical models.
Conduct business in compliance with regulatory guidance including SR (Supervision and Regulation Letters) 10-1, SR 10-6, SR 11-7, Enhanced Prudential Standards, etc. Adhere to applicable compliance/operational/model risk controls and other second line of defense and regulatory standards, policies and procedures.
Serve as lead in managing Treasury projects and initiatives under guidance and direction of management. Present data, results and/or recommendations to senior management as necessary. May lead teams on either a project or full-time basis, providing performance feedback to management as appropriate.
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 diversity 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.
Scope of Responsibilities:
The position serves as team lead in use of statistical programming languages to analyze Bank datasets and the implementation, execution and maintenance of quantitative models. It is important for the position to communicate with clear narratives, compelling data visualization and technical precision, both in-person and in writing, to enable audiences to understand analysis and forecasts. The position partners and collaborates with colleagues in related functions, including Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management and business lines to implement and understand models for Bank use. The position often leads team-based projects related to implementation and execution. This role is highly technical in nature and requires demonstrated attention to detail, execution and follow-up on multiple initiatives within Treasury and across the Bank. The ability to identify, analyze, rationalize and communicate complex business, data and statistical problems and recommend corresponding solutions while directing the work of others on the team is a key factor of success in this role. The position may supervise the work of interns and/or lead teams of up to three individual contributors, providing performance feedback to management as appropriate. The position also provides guidance and direction to less experienced personnel.
Education and Experience Required:
Bachelor's degree and a minimum of 4 years' proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 8 years' higher education and/or work experience, including a minimum of 4 years' proven quantitative behavioral modeling experience
Minimum of 4 years' experience with pertinent statistical software packages (SAS, Python, Stata, R or equivalent)
Minimum of 4 years' experience with data management environment, such as SQL Server Management Studio
Proven experience managing and analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs
Education and Experience Preferred:
Masters' of Science or Doctorate degree in statistics, economics, finance or related field in the quantitative social, physical or engineering sciences, with proven coursework proficiency in statistics, econometrics, economics, computer science, finance or risk management
Minimum of 5 years' statistical analysis programming experience
Financial Risk Manager (FRM) or Chartered Financial Analyst (CFA) designation
Fluency and high proficiency in econometric/statistical techniques, especially time-series analysis, panel data methods and logistic regression
Experience in mathematical modeling of financial instruments offered by banks
Knowledge and familiarity with key aspects of model risk management and model validation, including SR-11-7 guidance on model risk management
Proven track record for being able to work autonomously and within a team environment
Proven leadership skills
Strong desire to learn and contribute to a group
Previous experience leading and directing the work of less experienced personnel
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $97,869.52 - $163,115.87 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation. The range listed above corresponds to our national pay range for this role. The specific pay range applicable to you may vary based on your location.
Location
Clanton, Alabama, United States of America
Apply Now