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Graduate Quant Jobs in Elizabeth, NJ (NOW HIRING)

Jane Street

Quantitative Researcher

New York, NY · On-site

You'll work side by side with our experienced Quantitative Researchers to learn how we identify ... graduate students, but we also welcome applicants who have already graduated and are considering a ...

Jane Street

Quantitative Researcher

New York, NY

You'll work side by side with our experienced Quantitative Researchers to learn how we identify ... graduate students, but we also welcome applicants who have already graduated and are considering a ...

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All JobsGraduate Quant JobsGraduate Quant Jobs in Elizabeth, NJ

Graduate Quant information

See Elizabeth, NJ salary details

$98.6K

$170.8K

$261.2K

How much do graduate quant jobs pay per year?

As of Aug 21, 2026, the average yearly pay for graduate quant in Elizabeth, NJ is $170,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,400.00 and $200,300.00 per year, depending on experience, location, and employer.

What is a graduate quant?

Graduate Quants, or Graduate Quantitative Analysts, are entry-level professionals who use mathematical, statistical, and computational techniques to analyze financial markets and help institutions make informed trading, investment, and risk management decisions. Typically, they have recently completed advanced degrees in fields like mathematics, physics, engineering, or finance. Graduate Quants often work in banks, hedge funds, or trading firms, applying quantitative models to solve complex financial problems. Their roles may include developing algorithms, conducting data analysis, and supporting senior quants with research and model implementation.

What are some typical challenges faced by graduate quants during their first year, and how can they effectively overcome them?

Graduate Quants often encounter challenges such as adapting to high-pressure environments, learning to communicate complex quantitative concepts to non-technical colleagues, and quickly mastering new financial models or programming languages. To overcome these hurdles, it's helpful to proactively seek feedback, collaborate closely with more experienced team members, and dedicate time to continual learning, both on the job and through self-study. Building strong relationships within the team and staying updated on industry trends can also ease the transition and foster professional growth.

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

To thrive as a Graduate Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a quantitative degree such as mathematics, physics, engineering, or computer science. Familiarity with programming languages like Python, C++, R, and financial modeling tools is usually expected, and knowledge of data analysis platforms is beneficial. Analytical thinking, attention to detail, and strong problem-solving abilities are standout soft skills for this role. These skills and qualities are crucial for building robust quantitative models and delivering actionable insights in fast-paced financial environments.

What is the difference between Graduate Quant vs Quant Analyst?

AspectGraduate QuantQuant Analyst
Required CredentialsDegree in Math, Finance, or related field; often entry-levelSame as Graduate Quant, but may require some experience
Work EnvironmentResearch-focused, training programs, junior rolesMore client-facing, strategy implementation, senior responsibilities
Employer & Industry UsageHedge funds, investment banks, asset managersFinancial institutions, trading firms, hedge funds
Search & Comparison IntentYes, often compared for entry-level rolesMore experienced, but related roles

The main difference between a Graduate Quant and a Quant Analyst lies in experience and responsibilities. Graduate Quants are typically entry-level, focusing on learning and research, while Quant Analysts have more experience and handle strategy implementation and client interactions. Both roles are common in finance and require strong quantitative skills, but the level of responsibility and experience distinguishes them.

What are popular job titles related to Graduate Quant jobs in Elizabeth, NJ?

For Graduate Quant jobs in Elizabeth, NJ, the most frequently searched job titles are:

What job categories do people searching Graduate Quant jobs in Elizabeth, NJ look for?

The top searched job categories for Graduate Quant jobs in Elizabeth, NJ are:

What cities near Elizabeth, NJ are hiring for Graduate Quant jobs?

Cities near Elizabeth, NJ with the most Graduate Quant job openings:

Graduate Quant jobs near you
Infographic showing various Graduate Quant job openings in Elizabeth, NJ as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 20% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $170,819 per year, or $82.1 per hour.

Compliance - Quant Modeling Senior Associate Fair Lending

JPMorgan Chase & Co

Jersey City, NJ • On-site

Full-time

Medical, Retirement

Posted 18 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

Job Responsibilities

  • Conduct research and develop innovative analytical and technology solutions to enhance fair lending risk analysis methodologies, improve process efficiency, and keep the fair lending compliance program aligned with industry and regulatory standards.

  • Leverage AI-enabled tools, generative AI, intelligent automation, and emerging technologies where appropriate to scale analytical capabilities, improve effectiveness, and reduce manual effort across fair lending processes.

  • Partner with Modeling, Technology, Data Science, and business teams to design, develop, and implement AI-enabled solutions, including intelligent agents, automated analytical workflows, and reusable tools that support fair lending analytics and model review processes. 

  • Evaluate, prototype, and deploy advanced analytical and AI-driven capabilities that enhance productivity, improve transparency, strengthen controls, and support scalable execution of compliance and risk-management activities.

  • Identify, request, and review relevant data to support ongoing and ad hoc fair lending analysis projects; identify potential gaps between data available for analysis and business policy requirements, such as underwriting attributes, and follow up with lines of business for resolution.

  • Develop and apply statistical models and techniques to evaluate potential fair lending disparities across lines of businesses; review and assess business policies, practices, and procedures to inform analytic strategies; develop quantitative and statistical models; perform independent analysis to assess fair lending risks; and make recommendations for fair lending testing.

  • Prepare and maintain model documentation, evaluate model performance, and ensure compliance with Model Risk Governance and Review standards. 

  • Support model review activities by assessing model methodologies, assumptions, segmentation approaches, performance metrics, and potential fair lending implications.

  • Prepare presentations and reports to communicate analytical results, solution designs, and innovation initiatives to technical and non-technical audiences; engage with stakeholders including OFL partner teams, lines of business (LOBs), Legal, Technology, Data Science, IT, and Model Governance.

  • Perform other related duties as assigned.

Required Qualifications, Capabilities and Skills

  • Graduate degree in a quantitative field, such as Statistics, Economics, Computer Science, Engineering, Data Science, Mathematics, or a related discipline.

  • 2+ years of experience in statistics, data science, business analytics, model review, or a related quantitative function.

  • Proficiency in Python, shell scripting, cloud computing platforms and tools (e.g., AWS, Spark, Git/Bitbucket, databricks) and database systems (e.g., Snowflake, Hadoop, Teradata, Hive).

  • Deep understanding of statistical concepts and methodologies, with the ability to apply them effectively to complex business and compliance questions.

  • Experience developing, implementing, and evaluating machine learning models with demonstrated ability to select appropriate modeling techniques, validate model performance, and interpret results to support business decision-making.

  • Experience applying data science, automation, artificial intelligence, machine learning, or advanced analytics techniques to solve business problems.

  • Strong critical thinking and analytical skills, with the ability to manage multiple projects in a fast-paced environment while maintaining a focus on quality.

  • Willingness to learn, adapt to changes, and work collaboratively as a team player.

  • Excellent verbal and written communication skills, with the ability to clearly present complex and sensitive issues to both technical and non-technical audiences.

Preferred Qualifications

  • Experience developing AI-enabled business solutions using generative AI, large language models (LLMs), retrieval-augmented generation (RAG), agentic systems, workflow automation platforms, or machine learning techniques.

  • Experience building proof-of-concepts and production-ready solutions that improve operational effectiveness, analytical capabilities, controls, or user experience.

  • Knowledge of cloud-based analytics, data engineering, or AI platforms is a plus. 

  • Experience with BI, GIS, or automation tools such as Tableau, ArcGIS, or Alteryx is a plus.

  • Experience in fair lending or responsible banking is a plus.

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

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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