Credit & Collateral Risk Analytics Lead

Greater Boston Chamber of Commerce; Boston (MA); Hybrid; USD 119,000 - 182,000; Full time

Job summary

Federal Home Loan Bank of Boston is seeking a hands-on Analyst and Manager to analyze credit risk models, member default models, and collateral valuation risk. The role involves developing internal code, reporting to committees, and coordinating with validators in a hybrid Boston office environment.

The ideal candidate has 7–10 years in financial services analytics, strong Python and SQL skills, and leadership experience.

Qualifications

• 7–10 years of analytics experience in the financial services industry.
• Current or prior people management experience strongly preferred.
• Proficiency with Python.
• Intermediate SQL skills.
• Familiarity with machine learning, statistics, and probability.

Responsibilities

• Provide training and guidance for 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 risk, default, and valuation models.
• Prepare and present periodic reports for Committee packages and external data requests.
• Upkeep and development of Python code related to analytical operations.
• Liaison to model validators and ensure governance.
• Assist in testing upgrades to models/tools, including internal code.
• Complete special projects with ad hoc reports and narrative.

Skills

Python

SQL

Fixed Income

Machine Learning

Communication

Team Leadership

Education

Bachelor's degree in finance/economics/quantitative

Master's degree preferred

Tools

Pandas

GeoPandas

SQLAlchemy

YAML

Requests

SciPy

scikit-learn

Job description

Federal Home Loan Bank of Boston is seeking a hands-on Analyst and Manager to analyze credit risk models, member default models, and collateral valuation risk. The role involves developing internal code, reporting to committees, and coordinating with validators in a hybrid Boston office environment.

The ideal candidate has 7–10 years in financial services analytics, strong Python and SQL skills, and leadership experience.