Credit & Collateral Risk Analytics Lead

Federal Home Loan Bank of Boston; Boston (MA); Hybrid; USD 119,000 - 182,000; Full time

Benefits offered by this job

Robust benefits

Work-life balance

Hybrid work

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. The role involves reporting, benchmarking, and model governance in a hybrid Boston office.

The ideal candidate has 7–10 years in financial services analytics, strong Python and SQL, and experience leading a small team. Excellent communication and data handling with deadlines are essential.

Qualifications

• Knowledge of financial instruments and valuation risk.
• Proficient in Python for analytics and modeling.
• Strong SQL for data extraction and validation.
• Ability to meet internal/external reporting deadlines.
• Ability to review complex reports for accuracy.
• Familiarity with ML, statistics, and probability theory.
• Excellent written and verbal communication.
• Ability to work independently or with a team.

Responsibilities

• Provide training and review work of a small team of risk analysts.
• Maintain controls on analytics produced by the team.
• Monitor performance of credit risk, default, and valuation models.
• Prepare periodic reports for committees and FHFA requests.
• Develop Python code for analytical operations.
• Liaise with model validators and governance.
• Assist with testing upgrades to models/tools.
• Complete special projects with ad hoc reports and narrative.

Skills

Fixed income valuation

Python

SQL

Deadline-driven

Report review

ML basics

Communication

Teamwork

Education

Bachelor's degree in finance/economics/quantitative

Master's degree preferred

Tools

Pandas

GeoPandas

SQLAlchemy

YAML

Requests

PolyPaths

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. The role involves reporting, benchmarking, and model governance in a hybrid Boston office.

The ideal candidate has 7–10 years in financial services analytics, strong Python and SQL, and experience leading a small team. Excellent communication and data handling with deadlines are essential.