ZipRecruiter

Log In

1

Market Risk Analyst Jobs in Boston, MA (NOW HIRING)

State Street Global Advisors

Quantitative Risk

Boston, MA · Hybrid

$104K - $180K/yr

This role will be part of the CMAO team focused on delivering modeling and analytics solutions to assess counterparty credit risk and market risk managed by State Street Global Markets ("SSGM"). The ...

State Street Corporation

Quantitative Risk

Boston, MA · On-site

$104K - $180K/yr

This role will be part of the CMAO team focused on delivering modeling and analytics solutions to assess counterparty credit risk and market risk managed by State Street Global Markets ("SSGM"). The ...

previous page

Showing results 41-60

All JobsMarket Risk Analyst JobsMarket Risk Analyst Jobs in Boston, MA

Market Risk Analyst information

See Boston, MA salary details

$70.6K

$117.7K

$158.1K

How much do market risk analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for market risk analyst in Boston, MA is $117,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,900.00 and $142,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a market risk analyst?

To thrive as a Market Risk Analyst, you need a strong analytical background in finance, economics, or mathematics, often supported by a relevant degree. Familiarity with financial modeling software, statistical tools like Excel, VBA, Python, R, and certifications such as FRM or CFA are highly valued. Attention to detail, problem-solving abilities, and effective communication skills help analysts interpret data and explain risk assessments to stakeholders. These competencies are essential for accurately identifying, quantifying, and communicating risks to inform decision-making within financial organizations.

How much does a market risk analyst make?

A market risk analyst typically earns between $70,000 and $120,000 annually, depending on experience, location, and industry. Entry-level analysts may start at lower salaries, while those with advanced certifications or specialized skills can earn higher compensation.

What does a market risk analyst do?

A Market Risk Analyst assesses financial risks that arise due to market fluctuations in interest rates, exchange rates, commodities, and equities. They analyze trading activities, develop risk models, and provide insights to help firms mitigate potential losses. Their role involves monitoring market conditions, stress testing portfolios, and ensuring compliance with risk regulations. Using statistical tools and financial models, they help organizations make informed investment and risk management decisions.

What are popular job titles related to Market Risk Analyst jobs in Boston, MA? For Market Risk Analyst jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Market Risk Analyst jobs in Boston, MA look for? The top searched job categories for Market Risk Analyst jobs in Boston, MA are:
Market Risk Analyst jobs near you
Infographic showing various Market Risk Analyst job openings in Boston, MA as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $117,687 per year, or $56.6 per hour.

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-posted 2 days ago

Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
  • Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches 
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk 
  • Design and implement analytical tools and pipelines using Python and SQL 
  • Contribute to model validation, backtesting, and performance evaluation 
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure 
  • Communicate complex quantitative insights through clear visualizations and technical summaries 
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics 
Required Qualifications
  • Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines) 
  • Strong foundation in probability, statistics, and numerical methods 
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQL 
  • Experience working with large datasets and implementing quantitative models 
  • Ability to think rigorously about complex systems and translate theory into practical solutions 
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk) 
  • Experience with scientific computing, optimization, or machine learning 
  • Background or research in cross-disciplinary areas such as: 
    • Statistical physics, complex systems, or network theory 
    • Applied or computational mathematics 
    • Machine learning or probabilistic modeling 
    • Quantum computing or advanced optimization techniques 
    • Topological data analysis or geometric data methods 
  • Prior research, publications, or project work demonstrating advanced quantitative modeling 
What You’ll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics 
  • Opportunity to apply cutting-edge academic methods in a production environment 
  • Collaboration with a highly quantitative, cross-disciplinary team 
  • Experience working with large-scale financial data and modern analytics infrastructure 
  • Mentorship and potential pathway to full-time quantitative roles 
Duration & Compensation
  • Internship: Summer 2026, with potential to extend 
  • Paid internship (competitive, based on experience and location)