Credit Model Development Quantitative Analyst I- HELOC & Residential Mortgage (Hybrid - see description for potential locations)

Primary Responsibilities

Aid in the creation 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. Engage in data analysis, model development, and ad-hoc analysis as needed.

• Research and develop models for credit risk, interest rate risk, and liquidity risk management, including 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 loans and deposit data sets for statistical analysis using SQL or similar tools to specify and estimate econometric models.
• Communicate results, including graphic and tabular forms of model development activities, to fellow team members, Treasury management, and Bank-wide stakeholders, including the business lines and Risk Management colleagues.
• Execute models in the production environment; communicate analytical results to Bank-wide stakeholders.
• 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 forecasts/expectations and explain variances. Identify risks and/or opportunities.
• Support the development and maintenance of satisfactory model documentation, including process procedures and performance monitoring guidelines.
• Provide financial analysis and data support to other groups/departments across the Bank as required.
• Engage with colleagues in Model Risk Management for model validation exercises.
• 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.

Scope of Responsibilities

The position utilizes statistical programming languages to analyze Bank datasets and develops, implements, and maintains behavioral models. Effective communication, both in-person and in writing, is crucial for presenting analyses clearly and persuasively.

Education and Experience Required

• Bachelor's degree from an accredited four-year institution, or a combined minimum of 4 years’ higher education and/or work experience.
• Proven experience in analyzing data sets and explaining results through concise written and verbal communication, as well as charts/graphs.
• Model development experience.

• Bachelor’s degree in Statistics, Economics, Mathematics, Finance, or a related field in the quantitative social, physical, natural, or engineering sciences, with proven coursework proficiency in statistics, econometrics, economics, computer science, finance, or risk management.
• Prior experience in banking and financial services industry.
• One or more years of statistical analysis programming experience.
• Experience with pertinent statistical software packages such as SAS, Stata, R, or Python - Python experience is highly preferred.
• Proven track record for identifying, analyzing, rationalizing, and communicating complex business, data, and statistical problems and recommending corresponding solutions.

Education and Experience Preferred

• Bachelor’s degree in Statistics, Economics, Mathematics, Finance, or a related field in the quantitative social, physical, natural, or engineering sciences, with proven coursework proficiency in statistics, econometrics, economics, computer science, finance, or risk management.
• Prior experience in banking and financial services industry.
• One or more years of statistical analysis programming experience.
• Experience with pertinent statistical software packages such as SAS, Stata, R, or Python - Python experience is highly preferred.
• Advanced knowledge of pertinent spreadsheet, word processing, and presentation software.