Hybrid Market Risk Analyst II — Python & SQL

Federal Home Loan Bank of Boston

Boston (MA)

Hybrid

USD 77,000 - 117,000

Full time

4 days ago
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Job summary

The Federal Home Loan Bank of Boston is seeking a Market Risk Analyst II to join the Market Risk Management Team in Boston. You will analyze exposures to interest rates and market factors, translate complex analytics into actionable insights for leadership and regulators, and contribute to risk reporting and governance processes.

Ideal candidates have a strong quantitative foundation, exposure to risk modeling, and proficiency with Python, SQL, data management, and related analytics.

Qualifications

  • Four-year degree in finance, accounting, economics, or quantitative discipline required.
  • Graduate degree and/or CFA preferred; strong quantitative skills expected.
  • Experience with risk modeling and financial reporting is ideal.

Responsibilities

  • Oversee risk analysis model maintenance and updates.
  • Generate assessments of risk exposure in balance sheet and portfolios.
  • Prepare analytical reports including market value sensitivity and earnings at risk.
  • Review baseline and stress test results for forecasts of market risk.
  • Model analysis of transaction level risk exposure and hedging effects.
  • Support modeling methodologies, monitoring, and upgrades.

Skills

Python
SQL
Power BI
Excel
Data management
Analytics

Education

Bachelor's degree in finance, accounting, economics, or quantitative discipline
CFA program (preferred)

Tools

PolyPaths
QRM
Intex
Bloomberg
SQL
Power BI
AWS QuickSight

Job description

The Federal Home Loan Bank of Boston is seeking a Market Risk Analyst II to join the Market Risk Management Team in Boston. You will analyze exposures to interest rates and market factors, translate complex analytics into actionable insights for leadership and regulators, and contribute to risk reporting and governance processes.

Ideal candidates have a strong quantitative foundation, exposure to risk modeling, and proficiency with Python, SQL, data management, and related analytics.

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