Strategic Model Risk Quant Analyst

State Street

Boston (MA)

On-site

USD 70,000 - 119,000

Full time

9 days ago

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Job summary

State Street Markets (SSM) in Boston is seeking an Officer for the SSM Model Risk team. The role involves collaborating with model owners, executing regulatory requirements, and delivering model deliverables.

You will help with back-testing techniques, risk analyses, and documentation to support internal oversight and external regulators. The position requires graduate education in a quantitative field and proficiency in statistical programming environments with strong communication skills for

Qualifications

  • Strong understanding of quantitative methods used in financial institutions.
  • Experience with modeling and financial analysis tools.
  • Ability to explain modeling choices to validation teams.

Responsibilities

  • Support model owners in execution of engagement-specific modeling and deliverables.
  • Assist capital and liquidity related quantitative analyses for Markets Risk.
  • Develop and document model testing, benchmarking and back-testing methodologies.
  • Collaborate to design ongoing monitoring plans with performance metrics and thresholds.
  • Produce first line of defense documentation for model development and monitoring.
  • Coordinate with quants and developers on updates to meet validation requirements.

Skills

Quantitative analysis
Programming skills
Communication

Education

Graduate degree in quantitative discipline

Tools

Python
R
MATLAB
VBA
Java

Job description

State Street Markets (SSM) in Boston is seeking an Officer for the SSM Model Risk team. The role involves collaborating with model owners, executing regulatory requirements, and delivering model deliverables.

You will help with back-testing techniques, risk analyses, and documentation to support internal oversight and external regulators. The position requires graduate education in a quantitative field and proficiency in statistical programming environments with strong communication skills for

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