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Quantitative Risk Analyst Intern Jobs in New Jersey

Bank of America

Sr. Quantitative Finance Analyst

Newark, NJ · On-site

$89K - $111K/yr

Performs end-to-end market risk stress testing including scenario design, scenario implementation ... GRA is a quantitative organization which delivers models, tools, and analysis needed to effectively ...

Jay Analytix

Quantitative Developer

Jersey City, NJ · Hybrid

Quantitative Developer Location: New Jersey, Jersey City, USA - Hybrid Employment Type: Contract ... Build libraries and tools for portfolio analytics, valuation, and risk measurement. * Work closely ...

Jay Analytix Inc

Quantitative Developer

Jersey City, NJ · On-site

Quantitative Developer Location: New Jersey, Jersey City, USA - Hybrid Employment Type: Contract ... Build libraries and tools for portfolio analytics, valuation, and risk measurement. * Work closely ...

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Quantitative Risk Analyst Intern information

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

To thrive as a Quantitative Risk Analyst Intern, you need a solid background in mathematics, statistics, and finance, often supported by progress toward a relevant degree such as finance, economics, or applied mathematics. Familiarity with programming languages like Python or R, statistical analysis tools, and risk management platforms such as SAS or MATLAB is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret complex data and present findings clearly. These skills are crucial for accurately assessing risks, supporting data-driven decision-making, and contributing to effective risk management strategies.

What does a quantitative risk analyst intern do?

A Quantitative Risk Analyst Intern supports the risk management team by analyzing financial data, building statistical models, and assessing potential risks that could impact an organization. They use mathematical and statistical techniques to identify, measure, and monitor risks associated with investments, market movements, or operational activities. Interns often help with data collection, programming (using tools like Python, R, or Excel), and preparing reports for senior analysts. This role provides valuable hands-on experience in applying quantitative methods to real-world financial risk scenarios.

What is the difference between Quantitative Risk Analyst Intern vs Quantitative Risk Analyst?

AspectQuantitative Risk Analyst InternQuantitative Risk Analyst
Required credentialsTypically pursuing or recent graduate with a degree in finance, economics, or related fieldBachelor's or master's degree in a relevant field, often with some professional experience
Work environmentInternship setting, often part-time or summer program within financial institutionsFull-time role within banks, investment firms, or insurance companies
Employer and industry usageUsed in internship programs across finance and risk management firmsStandard position in risk management departments of financial services

The main difference between a Quantitative Risk Analyst Intern and a Quantitative Risk Analyst is experience level and responsibility. Interns are typically students gaining exposure, while analysts are full-time professionals responsible for assessing and managing risk strategies.

What types of projects and responsibilities can a quantitative risk analyst intern expect during their internship?

As a Quantitative Risk Analyst Intern, you can expect to work on projects involving data analysis, risk modeling, and validation of existing financial models. You may assist in stress testing portfolios, researching risk factors, and automating data processes under the guidance of senior analysts. Interns typically collaborate closely with risk management, trading, and IT teams, gaining hands-on experience with industry-standard tools and methodologies. This role offers an excellent opportunity to develop technical skills and an understanding of how risk is measured and managed in financial institutions.

What are popular job titles related to Quantitative Risk Analyst Intern jobs in New Jersey?

For Quantitative Risk Analyst Intern jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Quantitative Risk Analyst Intern jobs in New Jersey look for?

The top searched job categories for Quantitative Risk Analyst Intern jobs in New Jersey are:

What cities in New Jersey are hiring for Quantitative Risk Analyst Intern jobs?

Cities in New Jersey with the most Quantitative Risk Analyst Intern job openings:

Quantitative Risk Analyst Intern jobs near you
Infographic showing various Quantitative Risk Analyst Intern job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Risk Management - Model Risk Program Associate

JPMorganChase

Jersey City, NJ • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
JPMorgan Chase is one of the oldest financial institutions, providing innovative financial solutions globally. They are seeking a Risk Management - Model Risk Program Associate to design and build AI-native tools that transform the model risk lifecycle and enhance collaboration between risk professionals and model developers.
Responsibilities:
• Design, build, and deploy AI and LLM-based solutions that transform core MRGR processes and workflows during validation and governance.
• Work closely with MRGR teams to identify opportunities for AI to enhance and modernize model risk management practices and to understand the unique challenges and requirements of model risk governance.
• Remain current with emerging AI and LLM developments, get hands-on with new capabilities to understand their strengths and limitations, assess how they can be applied within MRGR workflows, and communicate actionable recommendations to stakeholders.
• Enable MRGR teams to effectively leverage AI tools and platforms in their day-to-day workflows, ensuring adoption is aligned with evolving best practices across the organization.
• Conduct independent model validation and governance activities to mitigate model risk, with a focus on AI/ML models, LLM-based applications, and Generative AI systems.
Qualifications:
Required:
• Master's or PhD degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Engineering, Economics, Finance, or a related field, with strong quantitative and analytical skills.
• Hands-on experience with applied AI/ML and LLM technologies, including prompt engineering, RAG architectures, agentic AI systems, context engineering, agent skills, MCP architecture, agentic harness, LLM evaluation and beyond.
• Strong foundation in statistics, econometrics, and machine learning techniques, with a deep understanding of model assumptions, limitations, explainability, and performance evaluation.
• Familiarity with LLM application tooling and frameworks (e.g., Claude Code, GitHub Copilot, LangChain, vector databases, embedding models, orchestration layers) and an understanding of how these components integrate in end-to-end deployed systems. Passion to stay at the forefront of how Generative AI is being operationalized in financial services and a desire to be a hands-on builder of AI solutions.
• Strong communication skills with the ability to present complex AI concepts to both technical and non-technical audiences.
• A risk and control mindset with the ability to ask incisive questions, assess the materiality of model issues, and escalate appropriately.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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