Credit Risk Model Development Quantitative Analyst II - Consumer Portfolio (Hybrid - see job description for potential work locations) at Wilmington Trust | Washington | Rezi

Credit Risk Model Development Quantitative Analyst II - Consumer Portfolio (Hybrid - see job description for potential work locations) at Wilmington Trust

Credit Risk Model Development Quantitative Analyst II - Consumer Portfolio (Hybrid - see job description for potential work locations)

Wilmington Trust · Washington

2 weeks ago

Credit Risk Model Development Quantitative Analyst II - Consumer Portfolio (Hybrid - see job description for potential work locations)

Wilmington Trust · Washington

20 days ago
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About the Role

Provides experienced support in the development and analysis of quantitative/econometric behavioral models for credit risk, interest rate risk, and liquidity risk management, as well as balance sheet and capital planning. Supports analysts and management in data analysis, model development, and ad-hoc analysis. Offers guidance to less experienced personnel.

Responsibilities

  • Assist in researching and developing quantitative behavioral models for credit risk, interest rate risk, and liquidity risk management, as well as balance sheet and capital planning.
  • Prepare, manage, and analyze large customer loan, deposit, and financial data sets using SQL or similar tools for econometric model specification and estimation.
  • Understand the context of the Bank’s data and businesses to ensure properly developed models.
  • Run regressions, programming routines, and other econometric analyses using appropriate statistical software.
  • Communicate results, including graphic and tabular forms, to team members, management, and stakeholders.
  • Execute models in the production environment and communicate analytical results.
  • Track portfolio performance, model performance, campaign tracking, and risk strategy results.
  • Incorporate observations and data into existing models to improve predictive results.
  • Identify deviations from forecast/expectations and explain variances.
  • Identify risk and/or opportunities.
  • Develop and maintain satisfactory model documentation, including process narratives and performance monitoring guidelines.
  • Provide financial analysis and data support to other groups/departments.
  • Support engagements with Model Risk Management for model validation exercises.
  • Provide guidance and direction to less experienced personnel regarding data and financial analysis and predictive statistical model development and management.
  • Conduct business in compliance with regulatory guidance including SR 10-1, SR 10-6, SR 11-7, and Enhanced Prudential Standards.
  • Adhere to applicable compliance, operational, and model risk controls and other second line of defense and regulatory standards, policies, and procedures.
  • Understand and adhere to the Company’s risk and regulatory standards, policies, and controls.
  • 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 and issues raised by external regulators.
  • Complete other related duties as assigned.

Requirements

  • Bachelor’s degree and a minimum of 1 year’s proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 5 years’ higher education and/or work experience, including a minimum of 1 year’s proven quantitative behavior modeling experience.
  • Minimum of 1 year’s on-the-job experience with pertinent statistical software packages (SAS, Python, Stata, R).
  • Strong Python skills required.
  • Model development experience required, including familiarity with logistic regression and linear regression.
  • Minimum of 1 year’s on-the-job experience with a data management environment, such as SQL Server Management Studio.
  • Minimum of 1 year’s experience in managing and analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs.
  • 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 (Preferred).
  • Minimum of 2 years’ statistical analysis programming experience (Preferred).
  • Credit model development experience; Consumer portfolio model development experience highly preferred (Preferred).
  • One (1) or more years of on-the-job Python programming experience (Preferred).
  • Fluency and high proficiency in econometric/statistical techniques, especially time-series analysis, panel data methods and logistic regression (Preferred).
  • Experience in balance sheet management and mathematical modeling of financial instruments offered by banks (Preferred).
  • Knowledge and familiarity with key aspects of model risk management and model validation, including SR-11-7 guidance on model risk management (Preferred).
  • Proven track record for being able to work autonomously and within a team environment (Preferred).
  • Demonstrated leadership skills (Preferred).
  • Strong desire to learn and contribute to a group (Preferred).

Skills

  • Quantitative behavioral modeling
  • Econometric modeling
  • Credit risk management
  • Interest rate risk management
  • Liquidity risk management
  • Balance sheet planning
  • Capital planning
  • Data analysis
  • Model development
  • SQL
  • Statistical software packages (SAS, Python, Stata, R)
  • Python
  • Logistic regression
  • Linear regression
  • SQL Server Management Studio
  • Time-series analysis
  • Panel data methods
  • Mathematical modeling of financial instruments
  • Model risk management
  • Model validation
  • SR-11-7 guidance

Location

  • Buffalo, NY
  • Bridgeport, CT
  • Wilmington, DE
  • Baltimore, MD
  • Washington, DC
  • NY, NY
  • Remote

Work Type

  • Hybrid
  • Remote

Experience Level

  • Experienced analyst
  • Minimum of 1 year's experience

Education Level

  • Bachelor's degree
  • Masters' of Science or Doctorate degree (Preferred)

Salary/Compensations

  • $71,600.00 - $119,300.00 Annual (USD)

Benefits

  • Competitive benefits ranging from medical and retirement
  • Forty hours of paid volunteer time each year

About the Company

  • Wilmington Trust has been serving successful individual and institutional clients for more than a century.
  • Wilmington Trust is internationally recognized and has a team of experienced and skilled professionals focused on delivering a high caliber of service to every client relationship.
  • We are proud to be part of the M&T corporate family.
  • Our core values – integrity, ownership, collaboration, curiosity, and candor – drive the work we do.
  • We seek to further build upon our record of success by bringing in top talent and fresh skill sets while continuing to support the growth and development of all our team members.
  • View M&T’s Human Capital Report to learn more.

Equal Opportunity

  • M&T Bank is unwavering when it comes to providing equal employment opportunities to all employees and applicants without regard to race, color, national origin, religion, ethnicity, sex, gender identity, age, disability, citizenship, pregnancy, veteran status, military status, marital status, sexual orientation, genetic information or any other characteristic protected under applicable federal, state or local laws.
  • M&T Bank Corporation has policies and procedures in place to promote a drug free workplace.