Manager, Credit & Collateral Risk Analytics

RPMGlobal; Boston (MA); Hybrid; USD 119,000 - 182,000; Full time

Job summary

The Federal Home Loan Bank of Boston seeks an analytical Analyst and Manager to join our Credit and Collateral Risk team. You will analyze the Bank’s credit risk models, member default models, and collateral valuation, and you will help develop and maintain internal Python code to support risk analytics.

With 7–10 years in financial services analytics, you will lead a small team, using Python, SQL, and data visualization; this role offers a hybrid work arrangement in Boston with onboarding

Qualifications

• Bachelor's degree in finance, economics, quantitative discipline, or equivalent work experience.
• Master's degree in related disciplines is preferred.
• 7–10 years of relevant analytics experience in financial services.
• Experience with fixed income instruments and collateral valuation.
• Experience with Python, SQL, and data visualization tools.

Responsibilities

• Provide training and review work of a small team of Credit and Collateral Risk Analysts.
• Maintain and develop internal controls on analytics.
• Monitor performance of internal and external risk models.
• Prepare reports for committees and FHFA data requests.
• Develop and maintain Python code for analytical operations.
• Collaborate with model validators and governance bodies.
• Test upgrades to models/tools and perform ad hoc analyses.
• Complete special projects and write business narratives.

Skills

Data analysis

Analytical thinking

Communication

Team leadership

Education

Bachelor's degree in finance/economics/quantitative discipline or equivalent

Master's degree preferred

Tools

Python

SQL

Pandas

scikit-learn

Power BI

YAML

SQLAlchemy

Job description

The 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 Federal Home Loan Bank of Boston is committed to making New England a better place to live and do business, and our employees are integral to our success. As a cooperative, we are owned by more than 420 banks, credit unions, insurance companies, and community development financial institutions that access tens of billions of dollars of our reliable, 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 220 is innovative, collaborative, and passionate about the work we do. We seek other professionals excited to share their knowledge, talent, and passion for our mission to join our team. We offer opportunities for career development, robust benefits, and a work-life balance.

Position Summary

As a hands-on Analyst and Manager, the primary responsibility of this position will be analyzing the Bank’s credit risk models, member default models, and valuation of collateral pledged to the Bank to secure advances and other extensions of credit.This entails conducting credit and market risk analysis of, and reporting on, the Bank’s credit risk models, member default models, and collateral valuation risk, and additional topical research.

The Manager will gain and deploy working knowledge of all relevant internal and external models and tools used to measure these risks.The Manager is also expected to assist in the development and maintenance of internal code to support credit and collateral risk analytics.The Manager is expected to have familiarity with the pricing risks of a large range of financial instruments including, but not limited to, debentures, mortgage-backed securities, municipal bonds, CMBS, and various residential and commercial loan products. The Manager is also expected to know and reference all internal credit risk and collateral valuation procedures and assist in their ongoing development.

Duties related to credit models include, but are not limited to, research and development of member default models, testing model version upgrades and model performance monitoring activities such as benchmarking, back-testing, stress-testing, sensitivity analysis, and maintenance of internal databases used by the team and internally developed applications.Duties related to collateral valuation include, but are not limited to, new collateral research, cashflow pricing analysis, analyzing shocked prices from adverse economic scenarios, using distribution and rank-order analysis, and referencing prospectus of securities that may be in question.

The ideal candidate is a critical thinker, enjoys working on multiple projects that require skills in data research and analytics, and is comfortable performing, reviewing the work of others and learning in a hybrid work model. Data is often decentralized, and the candidate must be comfortable with aggregating and handling large data sets and meeting deadlines.The ideal candidate is an effective communicator, has some people management experience and brings 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.

Anticipated Pay Range

The anticipated base pay range for this role is $119,000 - $182,000

This role is based in Boston with weekly in-office expectations. The base pay posted represents the annual base pay range or hourly wage range that we expect to offer for this job opportunity. The actual base salary offer will depend on a variety of factors including relevant experience, required skills and other relevant factors. The range noted here is not indicative of all positions in the job grade within which this position falls.

All Bank full-time positions are eligible to participate in our annual incentive program and our robust total rewards offerings, in addition to the base pay.

Specific Responsibilities

• Provide training, some guidance for, and review the work ofa 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 risk, default, and valuation Models.
• Prepare and present periodic reports for review and presentation in Committee packages, periodic financial statements, Federal Housing Finance Agency (FHFA), and/or Office of Finance data requests.
• Upkeep and development 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 code.
• Complete 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/Skills

• Working knowledge of fixed income instruments and their valuation risk
• Advanced skills with Python.
• Intermediate working knowledge of SQL
• Ability to work within defined time frames to meet internal and external reporting deadlines.
• Ability to review reports for reasonability, accuracy, and appropriateness.
• Basic to intermediate familiarity with machine learning, statistics, and probability theory.
• Effective communication skills, both written and verbal.
• Ability to work independently or with a team.

Experience

• 7-10 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 PolyPaths and models germane to fixed income instruments is strongly preferred.
• Experience with Pandas, GeoPandas, SQL Alchemy, YaML, and Requests Python libraries preferred.
• Experience with Python machine learning libraries (e.g. SciPy, scikit-learn) is a plus.
• Ability to create Power BI reports is a plus.
• Ability to perform basic queries with SQL.

Education

• A bachelor’s degree in finance, economics, quantitative discipline, or equivalent work experience required.
• A master’s degree in related disciplines is preferred.

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.