Markets Quantitative Analyst — Model Risk & Capital

State Street; Boston (MA); Hybrid; USD 70,000 - 119,000; Full time

Job summary

State Street is seeking a Markets Quantitative Analyst, Officer in Boston to join the SSM Model Risk team. The role combines statistical modeling, risk analytics and validation, with a hybrid work arrangement.

You will support model owners, develop back-testing, document methodologies, and communicate results to regulators and stakeholders in a fast-paced environment. Strong programming skills in Python, R or MATLAB are preferred, with VBA/Java a plus.

Qualifications

• Graduate degree in a quantitative discipline is required.
• 0–3 years experience in the model risk field preferred.
• Proficiency in Python, R or MATLAB.
• Proficiency in VBA; Java is a plus.

Responsibilities

• Support model owners in statistical and financial modeling and final deliverables.
• Assist Markets Risk and Capital Optimization with capital/liquidity analyses.
• Develop independent model testing and document methodology.
• Establish benchmarking and back-testing techniques per model class.
• Identify key model risks by stress-testing inputs and parameters.
• Demonstrate model stability across specifications and ranges.
• Collaborate to design monitoring plans with KPIs and thresholds.
• Develop first-line-of-defense documentation for model lifecycle.
• Update models to align with validation requirements.
• Conduct post-implementation reviews of trading algorithms and FX code.
• Communicate results to model validation and regulators.
• Prepare engagement status updates for stakeholders.

Skills

Quantitative analysis

Financial markets knowledge

Regulatory understanding

Communication skills

Education

Graduate degree in quantitative discipline

Tools

Python

R

MATLAB

VBA

Java

Job description

State Street is seeking a Markets Quantitative Analyst, Officer in Boston to join the SSM Model Risk team. The role combines statistical modeling, risk analytics and validation, with a hybrid work arrangement.

You will support model owners, develop back-testing, document methodologies, and communicate results to regulators and stakeholders in a fast-paced environment. Strong programming skills in Python, R or MATLAB are preferred, with VBA/Java a plus.