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Quantitative Analyst, AVP

Remote / Online - Candidates ideally in
Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: State Street Corporation
Full Time, Remote/Work from Home position
Listed on 2026-10-19
Job specializations:
  • Finance & Banking
    Risk Manager/Analyst, Financial Advisor / Consultant, Financial Analyst, Capital Markets
Salary/Wage Range or Industry Benchmark: 90000 - 157500 USD Yearly USD 90000.00 157500.00 YEAR
Job Description & How to Apply Below

Who we are looking for State Street Markets ("SSM") is looking for an Assistant Vice President ("AVP") to join the SSM Model Risk team in Boston. The SSM Model Risk team provides solutions to SSM business units, including Financing Solutions, FX Sales & Trading, Portfolio Solutions, Global Link, State Street Associates and Market Surveillance, allowing business units to address Model Risk requirements from internal oversight functions and external regulators.

Work

arrangement

This role can be performed in a hybrid model, where you can balance work from home and office to match your needs and role requirements.

Why this role is important to us

The team you will be joining is a part of State Street Markets. As a leading provider of trading and lending solutions to the world’s institutional investors, we deliver innovative platforms, financing and portfolio solutions. Our capabilities are backed by proprietary research, insights and indicators that power clients’ investment decisions, accelerate performance and help investors stay ahead of shifting markets. Join us if making your mark in the capital markets industry from day one is a challenge you are up for.

What

you will be responsible for
  • Support model owners in the execution of engagement-specific statistical and financial modeling and analyses, and in the preparation of final model deliverables.
  • Support the Markets Risk and Capital Optimization team on capital- and liquidity-related quantitative analyses.
  • Assume a key role in developing customized solutions to perform independent model testing and document the development methodology and implementation process.
  • Establish appropriate benchmarking and back-testing techniques based on the model class, purpose, required horizon, hedging implications and other relevant factors.
  • Identify key model risks by stress-testing model inputs and parameters.
  • Demonstrate model stability across alternative specifications and input ranges, including extreme values and boundaries of model effectiveness.
  • Collaborate with model owners to design and implement ongoing monitoring plans, including performance metrics, thresholds and escalation plans.
  • Develop comprehensive first-line-of-defense documentation covering model development, implementation and ongoing monitoring.
  • Work with model owners and developers to update models to meet internal model validation requirements.
  • Conduct post-implementation reviews of SSM proprietary trading algorithms, including code and strategy changes, compliance with the FX Global Code and independent testing of selected components.
  • Communicate with quantitative professionals and developers to understand strategy changes and justify modeling assumptions and results to internal model validation and external regulators.
  • Prepare and deliver engagement status updates to key stakeholders and manage workflows to ensure timely deliverables.
What we value
  • Strong understanding of quantitative analysis methods in relation to financial institutions.
  • Knowledge of financial markets, including securities lending, equities and derivatives, FX or electronic trading, is a plus.
  • High-level understanding of capital- and liquidity-related regulations.
  • Demonstrated ability to multitask and operate in a fast-paced, deadline-oriented environment.
  • Strong verbal and written communication skills, with the ability to articulate complex concepts, facilitate discussions and resolve conflicts among stakeholders with competing interests.
Education &

Preferred Qualifications
  • Graduate degree in Financial Mathematics, Financial Engineering, Mathematics, Statistics or a related quantitative discipline.
  • 3-5 years of experience in the model risk field recommended.
  • Advanced programming skills in Python, R or MATLAB, with intermediate…
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