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Quantitative Associate Jobs in Edison, NJ (NOW HIRING)

Through quantitative coursework, trading simulations, and instruction from Senior Traders and Quantitative Researchers, you will develop the skills needed to make informed, split-second decisions in ...

Through quantitative coursework, trading simulations, and instruction from Senior Traders and Quantitative Researchers, you will develop the skills needed to make informed, split-second decisions in ...

We leverage advanced technology, quantitative research, and deep market expertise to trade our own capital across global financial markets. The Role We are seeking an experienced Execution Quant ...

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Quantitative Associate information

See Edison, NJ salary details

$32.1K

$93.8K

$151.1K

How much do quantitative associate jobs pay per year?

As of Aug 8, 2026, the average yearly pay for quantitative associate in Edison, NJ is $93,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,200.00 and $123,200.00 per year, depending on experience, location, and employer.

How does a quantitative associate typically collaborate with traders and technology teams in a financial firm?

Quantitative Associates often work closely with traders to understand their strategies and provide data-driven insights that improve trading outcomes. They also collaborate with technology teams to implement models into production systems, ensuring that algorithms are both effective and efficient. This cross-functional teamwork requires strong communication skills and a willingness to learn from professionals in different disciplines. Regular meetings, joint problem-solving sessions, and collaborative project management tools are commonly used to keep everyone aligned and drive successful outcomes.

What is the difference between Quantitative Associate vs Quantitative Analyst?

AspectQuantitative AssociateQuantitative Analyst
Required CredentialsTypically a master's degree in finance, mathematics, or related field; strong programming skillsSimilar educational background; often requires advanced quantitative skills and certifications
Work EnvironmentFinancial firms, hedge funds, asset management; collaborative teamsSame as Quantitative Associate; focused on model development and data analysis
Employer & Industry UsageCommon in investment banks, hedge funds, asset managersUsed interchangeably in many firms; both roles involve quantitative modeling
Search & Comparison IntentHigh overlap; both roles involve quantitative analysis and modeling

Both Quantitative Associates and Quantitative Analysts work in similar environments, requiring advanced degrees and strong analytical skills. The roles often overlap in responsibilities, focusing on developing models, analyzing data, and supporting trading or investment decisions. The main difference may lie in job titles used by different firms, but their core functions are quite comparable.

What are the key skills and qualifications needed to thrive as a quantitative associate, and why are they important?

To thrive as a Quantitative Associate, you need strong quantitative analysis skills, advanced knowledge of mathematics and statistics, and typically a degree in a quantitative field such as mathematics, finance, or engineering. Proficiency in programming languages like Python or R, data analysis tools, and experience with financial modeling platforms are commonly required. Attention to detail, problem-solving abilities, and effective communication help you translate complex data insights into actionable business strategies. These skills are critical for developing accurate models, managing risk, and supporting data-driven decision-making in financial environments.

What is a quantitative associate?

Quantitative Associates are professionals who use mathematical, statistical, and computational techniques to analyze financial data and develop models for decision-making in fields such as banking, investment, and risk management. They often support senior quantitative analysts or traders by implementing algorithms, conducting data analysis, and providing insights to improve business strategies. These roles typically require strong skills in programming, mathematics, and finance, and are commonly found in investment banks, hedge funds, and financial technology firms.
What are the most commonly searched types of Quantitative jobs in Edison, NJ? The most popular types of Quantitative jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Quantitative Associate jobs? Cities near Edison, NJ with the most Quantitative Associate job openings:
Infographic showing various Quantitative Associate job openings in Edison, NJ as of July 2026, with employment types broken down into 1% As Needed, 65% Full Time, 31% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $93,772 per year, or $45.1 per hour.

Risk Management - Wholesale Quantitative Research, Associate

JPMorgan Chase & Co.

Jersey City, NJ • On-site

$135K - $150K/yr

Full-time

Medical, Retirement

Posted 11 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks


Job description


Bring your Expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo, and striving to be best-in-class.
As a Quantitative Researcher in Wholesale Credit Risk Modeling team, , you will develop and enhance quantitative models that support responsible growth and strong risk controls. You will partner with credit risk, finance, and technology teams to translate business needs into scalable model solutions. You will help us strengthen model methodology, documentation, and governance for key regulatory and risk management use cases. You will present model approaches, results, and limitations to senior stakeholders and model governance forums.
Job Responsibilities
  • Develop wholesale credit risk measurement models for portfolios such as Commercial Real Estate loans and structured product vehicles
  • Build credit loss models supporting the bank's Current Expected Credit Loss estimation
  • Develop stress testing models supporting Comprehensive Capital Analysis and Review processes
  • Create scorecard and modeling approaches to measure credit risk for Commercial Real Estate clients
  • Assess model performance, limitations, and use appropriateness to identify and monitor model risk
  • Design efficient numerical methods to support model estimation, calibration, and validation
  • Implement high-performance computing solutions to improve model runtime and scalability
  • Build reusable analytics software frameworks and integrate model outputs into downstream systems
  • Analyze large, real-world datasets to derive insights that improve model accuracy and stability
  • Partner with credit officers, portfolio managers, finance, and technology to deliver business-ready solutions
  • Communicate methodology, results, and limitations clearly to model governance committees and regulators

Required Qualifications, Capabilities, and Skills
  • Master's degree or higher in a quantitative discipline (for example: mathematics, physics, statistics, economics, finance, or computer science)
  • 3 years of experience developing statistical and/or economic models in a financial services or risk context
  • 3 years of experience applying regression and multivariate statistical techniques to real-world datasets
  • 3 years of hands-on programming experience in Python for data analysis and modeling (including pandas and NumPy)
  • 2 years of experience working with machine learning techniques in model development or analytics workflows
  • Demonstrated experience working with large datasets and building repeatable data pipelines for modeling
  • Knowledge of core banking risks and how risk is measured and managed in a wholesale credit context
  • Ability to explain complex quantitative concepts to non-technical stakeholders in clear, concise language
  • Proven ability to collaborate across functions and translate business needs into quantitative solutions
  • Strong attention to detail, with a disciplined approach to testing, documentation, and controls
  • Ability to adapt quickly, learn new domains, and deliver in a fast-paced environment

Preferred Qualifications, Capabilities, and Skills
  • Doctorate in a quantitative discipline (for example: mathematics, physics, statistics, economics or finance)
  • Experience developing wholesale credit risk models for Basel, Comprehensive Capital Analysis and Review, or Current Expected Credit Losses exercises
  • Experience designing numerical algorithms (for example: optimization or root-finding) for model calibration
  • Experience with Linux or Unix environments for research and production workflows
  • Familiarity with cloud platforms and model lifecycle tooling (for example: AWS, Azure, MLflow, Kubeflow, or SageMaker)
  • Experience using modern artificial intelligence tools to accelerate model development, testing, or documentation workflows
  • Knowledge of graph or network analytics for counterparty or contagion risk modeling

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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