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Quantitative Risk Analyst Intern Jobs in Hempstead, NY

Jefferies

SVP, Equity Derivatives Risk Quant

Manhattan, NY · On-site

$200K - $250K/yr

Scenario analysis and stress testing * Collaborate with Market Risk, Credit Risk, SIMM, and Quantitative Risk Development teams to ensure consistency and robustness of risk measures across the equity ...

Morgan Stanley

Risk Analyst

New York, NY

$75K - $95K/yr

Risk Management protects the firm from losses resulting from defaults by our lending and trading ... Quantitative/analytical background (e.g. finance, accounting, mathematics, STEM, law, economics ...

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All JobsQuantitative Risk Analyst Intern JobsQuantitative Risk Analyst Intern Jobs in Hempstead, NY

Quantitative Risk Analyst Intern information

See Hempstead, NY salary details

$67.6K

$112.7K

$151.3K

How much do quantitative risk analyst intern jobs pay per year?

As of Aug 9, 2026, the average yearly pay for quantitative risk analyst intern in Hempstead, NY is $112,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $136,200.00 per year, depending on experience, location, and employer.

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.
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Quantitative Risk Analyst Intern jobs near you

Quantitative Software Developer (NYC based Fund)

LaBine and Associates

Manhattan, NY

Full-time

Re-posted 27 days ago

Job description

Job Description: Quantitative Developer

We are seeking a skilled and driven Quantitative Developer to join our team. The ideal candidate will have a strong foundation in financial technology, quantitative analysis, and software development, with experience in both risk technology and portfolio management. In this role, you will develop and enhance the technology stack supporting risk analytics and data insights for financial portfolios, working with cutting-edge tools and frameworks. You will collaborate closely with portfolio managers, risk teams, and other stakeholders to improve financial reporting, risk models, and data analytics tools.

Key Responsibilities:

  • Lead development of the firm’s quantitative risk technology stack, providing critical data insights and analytics for portfolio management.
  • Develop and maintain financial reports to track exposures across assets, counterparties, P&L decomposition, and risk factors (market, counterparty, credit, and FX risks).
  • Design and implement quantitative models to assess portfolio performance, including the development of factor models to support portfolio alpha analysis.
  • Perform ad-hoc research and scenario analysis on different market events to model portfolio movements and exposures, providing actionable insights for management to mitigate risks effectively.
  • Integrate and coordinate the firm’s technology stack with third-party vendors such as Alpha Theory and MSCI’s Barra portfolio management systems.
  • Develop tools to analyze short interest data, helping portfolio managers understand sentiment changes and the firm’s market position.
  • Utilize Python, C#, and other programming languages to build, optimize, and maintain software applications in a distributed computing environment.
  • Enhance performance of critical financial systems, including database optimization and workflow re-architecture for improved efficiency.
  • Collaborate with team members in a test-driven development environment, writing unit tests to ensure the quality of newly developed code.
  • Implement and maintain RESTful web services to handle API requests for key financial analytics.

Required Qualifications:

  • Bachelor’s degree in Computer Science, Electrical Engineering, Financial Engineering, or a related field.
  • Proficiency in programming languages such as C++, Python, and SQL.
  • Strong understanding of financial markets and risk management, with experience in quantitative finance, portfolio management, or risk technology.
  • Solid knowledge of financial reporting and the ability to enhance and develop risk analytics tools and reports.
  • Experience working with third-party financial technology platforms and APIs.
  • Ability to optimize complex financial systems and improve performance.
  • Familiarity with modern software development practices, including test-driven development, version control, and continuous integration.
  • Excellent communication and problem-solving skills, with the ability to collaborate effectively across teams.
  • Previous experience working in a finance-focused technology role, such as quantitative risk technologist, financial software developer, or similar positions.

Preferred Qualifications:

  • Experience with financial risk analysis and modeling, particularly in equity, credit, and FX markets.
  • Familiarity with factor models and portfolio optimization techniques.
  • Knowledge of distributed computing environments, NoSQL databases, and cloud computing.

If you are passionate about developing cutting-edge technology solutions for quantitative finance and risk management, we encourage you to apply and join our team of experts working on innovative financial systems.

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About LaBine and Associates

Sourced by ZipRecruiter

LaBine and Associates is a full service talent acquisition firm specializing in executive search for a myriad of industries. Through our partnerships with experienced associates, we can also provide staffing support, expert consultants, and interim executives for your company’s needs. We have deep industry knowledge with understanding in multiple industries. Our specialists include experts in banking/finance, HR/Legal, Technology, Health Care, Life Sciences, Engineering, Energy, Supply Chain, Mining, Agribusiness and manufacturing.

Industry

Professional, scientific, and technical services

Company size

11 - 50 Employees

Headquarters location

San Mateo, CA, US

Year founded

2013

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