Capital & Liquidity Optimization Analyst

State Street; Boston (MA); On-site; USD 70,000 - 118,750; Full time

Job summary

State Street Markets (SSM) is seeking an Officer to join the SSM Risk and FRM team in Boston. The role supports capital and liquidity optimization across Markets products, including Basel III capital and regulatory exposures.

You will collaborate with finance teams, develop stress tests, produce management reporting, and forecast resource needs. A candidate with 1–3 years’ experience and strong Excel skills is preferred; Python experience is a plus.

Qualifications

• Bachelor’s degree in business, finance, economics, computer science or related field.
• 1–3 years’ experience in a relevant role.
• High level of competency in Excel; Python experience preferred.

Responsibilities

• Collaborate with finance teams to enhance analysis, forecasts and minimize capital, balance sheet and liquidity exposures.
• Develop Basel III, Capital and Liquidity Stress Tests and other regulatory exposures.
• Create and update senior management reporting and forecasting to communicate targets and resource impacts.
• Coordinate with Recovery and Resolution Planning (RRP) teams for annual deliverables and playbooks.
• Work closely with Global Treasury and Enterprise Risk Management (ERM) to ensure regulatory exposures reflect business models.
• Undertake ad hoc data analyses and develop Python code.
• Present analyses and commentary to management regarding revenue, ROE and EPS goals.

Skills

Strong communication

Independent working

Problem solving

Multi-tasking

Education

Bachelor’s degree in business, finance, economics, computer science or related field

Tools

Python

Excel

Job description

State Street Markets (SSM) is seeking an Officer to join the SSM Risk and FRM team in Boston. The role supports capital and liquidity optimization across Markets products, including Basel III capital and regulatory exposures.

You will collaborate with finance teams, develop stress tests, produce management reporting, and forecast resource needs. A candidate with 1–3 years’ experience and strong Excel skills is preferred; Python experience is a plus.