1

Quantitative Risk Analyst Intern Jobs in Washington

... quantitative risk assessment, to evaluate likelihood, impact, and business and financial consequences. * Leverage AI capabilities and AI-enabled platforms to conduct analysis at speed and scale ...

Risk Lead

Washington, DC ยท On-site

$170K/yr

Perform and oversee quantitative risk analysis to inform contingency planning. * Provide risk input into governance forums, reporting cycles, and executive briefings. * Support change impact ...

Job Title: Quantitative Analyst Location: Onsite, Washington, DC (1100 15th Street NW) Schedule ... This role will support capital markets trading and market risk management by translating business ...

Position Overview: The Risk Management Analyst supports the identification, assessment, and ... Conduct qualitative and/or quantitative risk assessments using established risk management ...

next page

Showing results 1-20

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 the most commonly searched types of Quantitative Risk Analyst jobs in Washington? The most popular types of Quantitative Risk Analyst jobs in Washington are:
What job categories do people searching Quantitative Risk Analyst Intern jobs in Washington look for? The top searched job categories for Quantitative Risk Analyst Intern jobs in Washington are:
What cities in Washington are hiring for Quantitative Risk Analyst Intern jobs? Cities in Washington with the most Quantitative Risk Analyst Intern job openings:
Quantitative Risk Analysis Tech Lead (Single-Family Business)

Quantitative Risk Analysis Tech Lead (Single-Family Business)

Freddie Mac

Mclean, VA โ€ข On-site

Full-time

Posted 12 days ago


Job description

Job Summary:
Freddie Mac is committed to making home possible for families across the country. They are seeking a Quantitative Risk Analysis Tech Lead to bridge the gap between business stakeholders and data teams, focusing on delivering high-quality sampling and reporting services. The role involves leading technical development, modernizing workflows, and driving analytics initiatives to enhance risk management processes.
Responsibilities:
โ€ข Drive modernization of sampling, reporting, and analytics workflows by identifying opportunities to simplify, automate, and scale existing processes and tools.
โ€ข Shape technical approaches and analytical frameworks for new initiatives, ensuring solutions are practical, scalable, and aligned with business priorities and risk management objectives.
โ€ข Lead development and governance of the teamโ€™s overall sampling codebase and related technical assets across SAS, SQL, Python, Snowflake and UNIX-based workflows.
โ€ข Partner closely with Single-Family data and technology teams to define data requirements, resolve issues, and build sustainable data solutions that bridge legacy and modern QC systems.
โ€ข Support peer technical code reviews for the team and ad hoc analytics for leadership.
Qualifications:
Required:
โ€ข Doctorate degree plus 3 years of working experience (or Master's degree with 5 years of equivalent work experience) in quantitative finance, statistics or a related quantitative field of studies.
โ€ข 7+ years of relevant professional experience, preferably 5+ years recent experience in mortgage or financial services industries
โ€ข 5+ years recent experience with analyzing large datasets using a combination of SQL and SAS/Python/R.
Preferred:
โ€ข 3+ years recent experience with data visualization tools such as Tableau (preferred to include server/site administration) and/or Power BI
โ€ข Knowledge of standard processes and risk controls around data and analytics is a must; DBA experience with cloud databases such as Snowflake is preferred
โ€ข Knowledge of and experience with statistical modeling and/or AI/ML models is helpful
Company:
Freddie Mac is a public government-sponsored enterprise that provides mortgage capital to lenders. Founded in 1970, the company is headquartered in Mclean, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

Freddie Mac logo

About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970