Quantitative Analyst Jobs in New Jersey
Quantitative Analyst jobs in New Jersey are concentrated in Jersey City, Princeton, and Newark, where firms like JPMorgan Chase, Prudential Financial, and Johnson & Johnson maintain major operations and hire across risk modeling, derivatives pricing, and algorithmic trading. The corridor running from Jersey City into Midtown Manhattan makes the state one of the most active quantitative hiring markets on the East Coast, drawing demand at every level from junior analyst to senior quant researcher. See the openings below and apply to the ones that match your experience.
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Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description
The Market Data & Analytics (MDA) team develops innovative market data, quantitative analytics, and technology solutions that support Global Markets risk measurement, regulatory capital, and strategic business initiatives. The team operates at the intersection of quantitative finance, market data, and technology, delivering scalable solutions that enable accurate risk factor representation, data management, and analytical capabilities across the firm's risk platforms.
Working closely with Market Risk Methodology, Risk Managers, Front Office partners, and Technology teams, the successful candidate will contribute to the design, implementation, and enhancement of market data frameworks, risk analytics solutions, and technology platforms supporting VaR, SVaR, FRTB, Stress Testing, and other market risk initiatives.
Requirements
- Design and enhance market data and risk factor frameworks supporting market risk, regulatory capital, and quantitative analytics initiatives.
- Develop solutions for the construction, management, and optimization of historical market data and quantitative time series across multiple asset classes.
- Partner with business and technology stakeholders to define requirements, data architecture, and strategic solutions for market risk platforms.
- Analyze complex market data challenges and develop innovative approaches for risk factor representation, proxy methodologies, data transformations, and analytical modeling.
- Drive automation, process reengineering, and platform modernization initiatives to improve scalability, efficiency, and data accessibility.
- Support the implementation, testing, and rollout of market risk models, regulatory capital initiatives, and technology enhancements.
- Perform quantitative analysis and impact assessments related to market data changes, new products, regulatory developments, and business initiatives.
- Collaborate across Risk, Front Office, Quantitative, and Technology teams to deliver innovative solutions for complex market risk and data challenges.
Qualifications
- Bachelor's degree required; Master's degree preferred in Finance, Financial Engineering, Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline.
- 2+ years of experience in Market Risk, Market Data, Quantitative Analytics, Risk Technology, Financial Engineering, or related disciplines.
- Strong understanding of financial markets, risk factors, and market risk concepts, including VaR and related risk measurement methodologies.
- Experience with data analysis, quantitative problem solving, and technology-enabled solutions; proficiency in Python, SQL, Excel, or similar analytical tools is preferred.
- Strong communication, analytical, and stakeholder management skills with the ability to work effectively in a fast-paced and collaborative environment.
Shift:
1st shift (United States of America)Hours Per Week:
40Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description
The Market Data & Analytics (MDA) team develops innovative market data, quantitative analytics, and technology solutions that support Global Markets risk measurement, regulatory capital, and strategic business initiatives. The team operates at the intersection of quantitative finance, market data, and technology, delivering scalable solutions that enable accurate risk factor representation, data management, and analytical capabilities across the firm's risk platforms.
Working closely with Market Risk Methodology, Risk Managers, Front Office partners, and Technology teams, the successful candidate will contribute to the design, implementation, and enhancement of market data frameworks, risk analytics solutions, and technology platforms supporting VaR, SVaR, FRTB, Stress Testing, and other market risk initiatives.
Requirements
- Design and enhance market data and risk factor frameworks supporting market risk, regulatory capital, and quantitative analytics initiatives.
- Develop solutions for the construction, management, and optimization of historical market data and quantitative time series across multiple asset classes.
- Partner with business and technology stakeholders to define requirements, data architecture, and strategic solutions for market risk platforms.
- Analyze complex market data challenges and develop innovative approaches for risk factor representation, proxy methodologies, data transformations, and analytical modeling.
- Drive automation, process reengineering, and platform modernization initiatives to improve scalability, efficiency, and data accessibility.
- Support the implementation, testing, and rollout of market risk models, regulatory capital initiatives, and technology enhancements.
- Perform quantitative analysis and impact assessments related to market data changes, new products, regulatory developments, and business initiatives.
- Collaborate across Risk, Front Office, Quantitative, and Technology teams to deliver innovative solutions for complex market risk and data challenges.
Qualifications
- Bachelor's degree required; Master's degree preferred in Finance, Financial Engineering, Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline.
- 2+ years of experience in Market Risk, Market Data, Quantitative Analytics, Risk Technology, Financial Engineering, or related disciplines.
- Strong understanding of financial markets, risk factors, and market risk concepts, including VaR and related risk measurement methodologies.
- Experience with data analysis, quantitative problem solving, and technology-enabled solutions; proficiency in Python, SQL, Excel, or similar analytical tools is preferred.
- Strong communication, analytical, and stakeholder management skills with the ability to work effectively in a fast-paced and collaborative environment.
Shift:
1st shift (United States of America)Hours Per Week:
40See All 9 Quantitative Analyst Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Quantitative Analyst JobsQuantitative Analyst Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Quantitative Analyst Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Banking & Financial Services
What New Jersey Employers Look For
The qualifications that appear most often in quantitative analyst jobs across New Jersey.
- Advanced degree in mathematics, statistics, financial engineering, or a closely related quantitative field
- Proficiency in Python, R, or MATLAB for model development and data analysis
- Experience building and validating risk, pricing, or trading models in a financial environment
- Strong understanding of stochastic calculus, probability theory, and financial derivatives
- Ability to work with large datasets using SQL, pandas, or comparable data manipulation tools
- Familiarity with regulatory frameworks such as Basel III or model risk management guidelines
Quantitative Analyst Jobs in New Jersey: Frequently Asked Questions
How do you become a quantitative analyst in New Jersey?
Quantitative analyst roles in New Jersey do not require a state-issued license, so the path centers on education and demonstrated technical skill. Most employers in the Jersey City and Princeton corridors expect at least a master's degree in financial engineering, applied mathematics, or statistics, with a doctorate preferred at top-tier firms. Candidates build competitive profiles through internships at New Jersey financial institutions, strong programming portfolios, and coursework from programs at Rutgers University or Stevens Institute of Technology.
How much do quantitative analysts make in New Jersey?
Quantitative analysts in New Jersey earn a median of about $98,630 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $60,160 for the lowest 10% to over $161,190 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire quantitative analysts in New Jersey?
Companies currently hiring quantitative analysts in New Jersey include Stradit, Bank of America, and RBC, per current listings on Migrate Mate as of October 2026. New Jersey's concentration of investment banks, insurance carriers, and pharmaceutical companies in the Princeton and Jersey City areas makes it one of the broadest employer bases for quantitative roles outside of New York City.
Which New Jersey cities have the most quantitative analyst jobs?
The cities with the most quantitative analyst openings in New Jersey are Jersey City, Fort Lee, and Morristown. Jersey City dominates because of its dense cluster of investment banks and trading firms operating just across the Hudson from Wall Street, while Princeton draws quant talent into asset management and pharmaceutical analytics, and Newark anchors demand through its insurance and financial services headquarters.
Are there remote quantitative analyst jobs in New Jersey?
Yes, and more than most fields. About 100% of quantitative analyst openings tied to New Jersey are remote or hybrid as of October 2026, reflecting how much of the work involves modeling, coding, and data analysis that can be done independently. Model validation, research, and back-end quantitative development tend to offer the most remote flexibility, while trading-desk and client-facing roles typically require on-site presence.
How can I get hired as a quantitative analyst in New Jersey with little or no experience?
The most realistic entry path is a structured internship or rotational analyst program at a New Jersey financial institution, since firms like Prudential Financial and Goldman Sachs' Jersey City offices regularly recruit new graduates into quantitative analyst associate tracks. Candidates without full-time experience strengthen their profile by completing a master's program at Rutgers or Stevens Institute of Technology, building a public modeling or coding portfolio, and targeting junior roles in risk analytics or quantitative research that transition naturally into full quant positions.
Where can I find and apply to quantitative analyst jobs in New Jersey?
You can find and apply to quantitative analyst jobs in New Jersey on Migrate Mate, which lists current openings tied to the state. Search the listings to find roles that match your background, experience level, and preferred location within New Jersey, then apply directly to the ones that fit.
See All 9 Quantitative Analyst Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Quantitative Analyst Jobs