Quantitative Jobs in New Jersey
Quantitative jobs in New Jersey are concentrated in Jersey City, Princeton, and Newark, where major financial institutions and pharmaceutical firms drive sustained demand for professionals in quantitative research, risk modeling, and algorithmic strategy. Firms such as Goldman Sachs, JPMorgan Chase, and Johnson & Johnson maintain significant New Jersey operations and hire quantitatives across seniority levels from junior analyst to managing director. The state's proximity to New York's financial core makes it one of the most active markets in the country for quant-focused roles in fixed income, derivatives, and data-driven investment strategies. See the openings below and apply to the ones that match your experience.
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Job Description
ABOUT RBC CAPITAL MARKETS
RBC Capital Markets is a premier investment bank that provides a focused set of products and services to corporations, institutional investors and governments around the world. With more than 7,100 professionals, we operate out of 70 offices in 15 countries across North America, the U.K., Europe, and the Asia-Pacific region.
We work with clients in over 100 countries to deliver the expertise and execution required to raise capital, access markets, mitigate risk and acquire or dispose of assets. According to Bloomberg and Dealogic, we are consistently ranked among the largest global investment banks. RBC Capital Markets is part of Royal Bank of Canada (RBC), one of the top 15 largest banks globally and fifth largest in North America, as measured by market capitalization. With a strong capital base and consistent financial performance, RBC is among a small group of highly rated global banks.
WHAT WILL YOU DO?
Join our Summer Analyst Program and make a real impact on the future of Capital Markets. You'll work on meaningful projects that shape how we serve clients - from building intelligent trading systems to developing data pipelines that power our decision-making. Alongside experienced technologists, you'll design, develop, and deploy tools that matter.
This isn't a passive learning experience. You'll own real deliverables in a collaborative project team setting, guided by RBC Capital Markets' lead architects and technologists. You'll gain hands-on exposure to cutting-edge technologies including machine learning, data engineering, cloud infrastructure, and algorithmic trading systems. Dedicated mentoring sessions with business-aligned technology leaders will deepen your understanding of how technology drives client value across trading, risk management, and market operations.
Beyond the work itself, you'll network with peers across Capital Markets through social events and skill-building sessions, building relationships that often lead to full-time opportunities.
You'll have the opportunity to contribute to one or more of these areas:
- Architecture – Shape the foundational systems that power modern capital markets
- eTrading & Algorithmic Trading Technology – Work on platforms that execute trades at scale with intelligence and precision
- Commodities & Futures Technology – Apply data science and automation to commodity markets
- Equities Technology – Leverage machine learning to enhance equity trading and market intelligence
- Market Data Operations and Engineering – Build systems that aggregate, process, and deliver critical market data
- Fixed Income & Currencies Technology – Develop analytical tools and trading systems for global markets
- AI & Machine Learning Engineering – Build predictive models, develop recommendation systems, and optimize trading algorithms
WHAT DO YOU NEED TO SUCCEED?
We seek talented individuals with intellectual curiosity, a drive to solve complex problems, and the energy to thrive in a fast-paced environment. You should be confident in your abilities while remaining eager to learn, collaborate, and push boundaries.
Successful candidates will be evaluated on individual merit. We're looking for:
Essential qualifications:
- Entering the final year of a four-year college or university program or enrolled in a relevant master's program (anticipating graduation Winter 2027 or Spring 2028)
- Strong analytical and problem-solving skills
- Demonstrated interest in technology, financial markets, or both
- History of academic excellence
- Strong communication and interpersonal skills
- Preferably pursuing a degree in Computer Science, Engineering, Mathematics, Physics, Statistics, Data Science or Business Analytics
Valuable experience and skills (the more, the better):
- Programming: Python, Java, C#, C/C++, or Scala; familiarity with frameworks like .NET or J2EE
- Data Science & AI: Experience with machine learning libraries, statistical modeling, or predictive analytics
- Data Engineering: SQL and/or NoSQL databases; ETL pipeline development; familiarity with tools like Spark or Kafka
- Cloud & Infrastructure: AWS, Azure, or GCP; containerization (Docker, Kubernetes)
- Software Engineering: Version control (Git), testing frameworks, agile methodologies
- Systems & DevOps: Linux/Unix administration, CI/CD pipelines
- Financial acumen: Understanding of markets, trading concepts, or financial products
- Business Analysis: Requirements gathering and cross-functional collaboration
WHAT'S IN IT FOR YOU?
- Hands-on mentorship from experienced technologists and emerging AI practitioners working on real problems
- Exposure to diverse domains within Capital Markets
- Tangible impact – your work directly influences how RBC serves institutional clients
- Career acceleration – Summer Analysts often transition into full-time roles with accelerated progression
- Skill development in high-demand areas including machine learning, cloud platforms, and modern software engineering
- Network within one of the world's leading investment banks
- Culture of innovation where we challenge conventions and embrace emerging technologies
We thrive on the challenge to be our best, think progressively, continue our growth, and deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our individual/collective potential, making a difference to our communities, and achieving success that is mutual.
From this experience you would gain:
- Direct exposure and hands-on experience including opportunities to do challenging work
- Ability to make a difference and lasting impact
- Opportunity to connect with different Capital Markets businesses
- Ability to work in a dynamic, collaborative, progressive, and high-performing team
- Training including orientation sessions as well as an in-class curriculum and regular information sessions with key business leaders
The good-faith expected salary for the above position is $110,000 annualized depending on factors including but not limited to the candidate’s experience, skills, registration status; market conditions; and business needs. This position is non-exempt and paid at the equivalent hourly rate.
RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging, and retaining talent that:
- Drives RBC’s high-performance culture
- Enables collective achievement of our strategic goals
- Generate sustainable shareholder returns and above market shareholder value
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Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.
RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
See All 28 Quantitative Jobs in New Jersey
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Find Quantitative JobsQuantitative Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Quantitative 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
- Investment & Asset Management
What New Jersey Employers Look For
The qualifications that appear most often in quantitative jobs across New Jersey.
- Advanced degree in mathematics, statistics, financial engineering, or a closely related quantitative field
- Proficiency in Python, R, C++, or MATLAB for model development and quantitative analysis
- Experience building or validating risk, pricing, or statistical models in a financial or research environment
- Strong knowledge of probability theory, stochastic calculus, or machine learning methods applied to finance
- Familiarity with regulatory frameworks such as Basel III, CCAR, or FRTB relevant to New Jersey-based financial institutions
- Ability to communicate complex quantitative findings clearly to non-technical stakeholders and senior leadership
Quantitative Jobs in New Jersey: Frequently Asked Questions
How do you become a quantitative in New Jersey?
Most quantitative roles in New Jersey require at minimum a master's degree, and many firms prefer a doctorate, in mathematics, statistics, physics, financial engineering, or computer science. There is no state-issued license specific to quantitative analysts in New Jersey, so hiring is driven by educational credentials, demonstrated modeling skills, and domain knowledge. Candidates entering the field often build their foundation through graduate programs at Rutgers University or Princeton University and gain practical exposure through internships at New Jersey-based financial or pharmaceutical firms.
Which companies hire quantitatives in New Jersey?
Companies currently hiring quantitatives in New Jersey include JPMorganChase, Merck, and PGIM, per current listings on Migrate Mate as of September 2026. New Jersey's concentration of global banks, asset managers, and life sciences companies along the I-95 corridor makes it one of the most consistently active hiring markets for quantitative talent in the country.
Which New Jersey cities have the most quantitative jobs?
The cities with the most quantitative openings in New Jersey are Jersey City, Newark, and Rahway. Jersey City dominates because of its dense cluster of financial services firms operating directly across from Lower Manhattan, while Princeton draws demand from asset managers, hedge funds, and pharmaceutical research operations anchored by institutions like Princeton University and the companies that have built campuses nearby.
Are there remote quantitative jobs in New Jersey?
Yes, and more than most fields, since quantitative work is inherently desk-based and output is measured through models and code rather than physical presence. About 80% of quantitative openings tied to New Jersey are remote or hybrid as of September 2026, reflecting the analytical nature of the role. Research-focused and model validation positions tend to offer the most flexibility, while roles requiring close collaboration with trading desks or regulatory teams are more likely to require on-site presence in Jersey City or Newark.
How can I get hired as a quantitative in New Jersey with little or no experience?
The most realistic entry path is through a quantitative internship or a rotational analyst program at one of New Jersey's large financial institutions, which regularly recruit from graduate programs at Rutgers, Princeton, and Stevens Institute of Technology. Candidates can also move laterally from adjacent roles such as data analyst, risk analyst, or financial engineer, where they have already built relevant modeling experience. A strong portfolio of projects demonstrating applied statistics, machine learning, or derivatives pricing, along with proficiency in Python or R, significantly improves a candidate's standing even without direct quant experience.
Where can I find and apply to quantitative jobs in New Jersey?
You can find and apply to quantitative jobs in New Jersey on Migrate Mate, which lists current openings across the state. Search the listings to find roles that fit your background, experience level, and preferred location within New Jersey, then apply directly to the ones that match.
See All 28 Quantitative Jobs in New Jersey
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