Senior Credit Model Risk Analyst & Supervisor

Join to apply for the Senior Credit Model Risk Analyst & Supervisor role at Federal Home Loan Bank of BostonThe Federal Home Loan Bank of Boston is a leading provider of wholesale funding for housing and community finance in New England serving more than 420 financial institutions across the region. The Bank is committed to making New England a better place to live and do business. As a cooperative, it is owned by more than 420 banks, credit unions, insurance companies, and community development financial institutions that access tens of billions of dollars of wholesale funding each year. Our funds are a vital resource that helps our members succeed, provide families with safe, decent affordable housing, and generate economic development that creates jobs in communities throughout our region.Our highly skilled team of 200 is innovative, collaborative, and passionate about the work we do. We seek professionals excited to share their knowledge, talent, and passion for our mission. We offer opportunities for career development, robust benefits, and a work-life balance.Position SummaryAs a hands-on Analyst (internal title is Senior Credit & Collateral Risk Analyst & Supervisor) and supervising a small team (2 Analysts), the primary responsibility of this position is to analyze the Bank’s Credit Risk Models and the valuation of Collateral pledged to the Bank to secure advances and other extensions of credit. This includes conducting credit and market risk analysis of, and reporting on, the Bank’s Credit Models and Collateral Valuation risk, and conducting additional topical research.The Senior Analyst will gain and deploy working knowledge of all relevant internal and external models and tools used to measure these risks. The senior analyst is also expected to assist in the development and maintenance of internal code to support credit and collateral analytics. Familiarity with the pricing risks of a wide range of financial instruments (including debentures, mortgage-backed securities, and various residential and commercial loan products) is expected. The senior analyst should know and reference all internal Credit and Collateral Valuation Procedures and assist in their ongoing development.Duties related to credit models include, but are not limited to, testing model version upgrades and model validation activities such as benchmarking, back-testing, and updating loan databases using internally developed applications. Duties related to Collateral Valuation include, but are not limited to, cashflow pricing analysis, analyzing rate shock scenarios using distribution and rank-order analysis, and referencing prospectuses of securities that may be in question.The ideal candidate is a critical thinker who enjoys working on multiple projects requiring data research and analytics, is comfortable performing and supervising others, and can learn in a hybrid work model. Data is often decentralized, and the candidate must be comfortable aggregating and handling large data sets and meeting deadlines. The candidate should be an effective communicator, have some people management experience, and bring a positive attitude with a desire to learn.This role will have a hybrid work schedule in our Boston office in accordance with the Bank’s Hybrid Work Program. More time will be expected in the office to support onboarding initially, up to 90 days.Specific ResponsibilitiesSupervise and manage a small team of Credit and Collateral Risk Analysts.Maintain and develop internal controls on analytics produced by Credit and Collateral Risk Analysts.Performance monitoring of all Bank internal and external Credit and Valuation Models.Prepare and present periodic reports for review and presentation in Committee packages, Periodic Financial Statements, FHFA, and/or Office of Finance data requests.Upkeep of Python code related to analytical operations within Credit and Collateral Risk.Liaison to internal and external Model Validators and their review of model governance.Aid in performing initial testing of upgrades to models/tools, including internally developed plete special projects to meet the overall goals and objectives of the Credit Department. These special projects often require creation of ad hoc reports and narrative of the subject matter using internal and external data.Effectively write or review business memos independently.Other duties as assigned.Knowledge/SkillsWorking knowledge of fixed income instruments and their termediate skills with Python, SQL, and Power BI.Ability to work within defined time frames to meet internal and external reporting deadlines.Ability to review reports for reasonability, accuracy, and appropriateness.Basic familiarity with machine learning, statistics, and probability theory.Effective communication skills, both written and verbal.Ability to work independently or with a team.Experience5-7 years of relevant experience in the Financial Services industry with an emphasis on analytics.Current or prior people management or supervisory experience strongly preferred.Experience with Pandas, GeoPandas, SQL Alchemy, YAML, and Requests libraries preferred.Experience with Python machine learning libraries (e.g. SciPy, scikit-learn) is a plus.Ability to create Power BI reports.Ability to perform basic queries with SQL.Experience with models germane to fixed income instrument analysis is preferred.EducationA bachelor’s degree in finance, economics, quantitative discipline, or equivalent work experience required.As an Equal Opportunity Employer, we strongly encourage applicants from every ethnicity, color, religion, gender, age, national origin, disability, veteran or parental status and sexual orientation.Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.Seniority levelSeniority level: Mid-Senior levelEmployment typeFull-timeJob functionAnalyst and FinanceIndustries: Banking and Financial ServicesNote: This refined description focuses on the role’s responsibilities and qualifications and removes extraneous postings and boilerplate not directly related to the job opening. #J-18808-Ljbffr

Created: 2025-09-17