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Quantitative Analyst Intern 2025 Jobs (NOW HIRING)

... Intern to join our Water Resources and Technology Services team. The position supports data ... Perform GIS database development, qualitative/quantitative analysis, and mapping as directed by ...

... Intern to join our Water Resources and Technology Services team. The position supports data ... Perform GIS database development, qualitative/quantitative analysis, and mapping as directed by ...

... Intern to join our Water Resources and Technology Services team. The position supports data ... Perform GIS database development, qualitative/quantitative analysis, and mapping as directed by ...

Strong quantitative and statistical analysis skills. * Ability to visualize and communicate data ... S. PACCAR intern, you have a full range of benefit options including: Competitive salary and 401k ...

Strong quantitative and statistical analysis skills. * Ability to visualize and communicate data ... S. PACCAR intern, you have a full range of benefit options including: • Competitive salary and ...

Strong quantitative and statistical analysis skills. * Ability to visualize and communicate data ... S. PACCAR intern, you have a full range of benefit options including: • Competitive salary and ...

The Data Analyst Intern will support the Retirement Operations team by helping transform data into ... Analytical and quantitative thinking * Curiosity and eagerness to learn * Data visualization and ...

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Quantitative Analyst Intern 2025 information

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How much do quantitative analyst intern 2025 jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for quantitative analyst intern 2025 in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Quantitative Analyst Intern 2025 vs Quantitative Research Intern 2025?

AspectQuantitative Analyst Intern 2025Quantitative Research Intern 2025
Required CredentialsTypically pursuing or holding a degree in finance, mathematics, or related fields; some roles prefer programming skillsSimilar educational background; strong emphasis on statistical and research skills
Work EnvironmentFinancial firms, hedge funds, investment banks; focus on data analysis and modelingResearch institutions, asset management firms; focus on data collection and hypothesis testing
Employer & Industry UsageCommonly used in finance and trading sectorsUsed across finance, academia, and research organizations

While both roles involve data analysis and programming, Quantitative Analyst Intern 2025 focuses more on developing trading models and financial strategies, whereas Quantitative Research Intern 2025 emphasizes research and hypothesis testing to inform investment decisions.

What are the key skills and qualifications needed to thrive as a Quantitative Analyst Intern, and why are they important?

To thrive as a Quantitative Analyst Intern, you need strong quantitative skills, proficiency in statistics, and a background in mathematics, finance, or a related field, often supported by progress toward a relevant degree. Familiarity with programming languages such as Python, R, or MATLAB, and experience with data analysis tools and financial modeling software are highly valued. Analytical thinking, attention to detail, and effective communication skills differentiate standout candidates in collaborative, fast-paced environments. These skills and qualities are crucial for accurately analyzing complex financial data and contributing actionable insights to support business decisions.

What are Quantitative Analyst Interns?

Quantitative Analyst Interns, often called 'quant interns,' are students or recent graduates who assist professional quantitative analysts in applying mathematical, statistical, and programming skills to finance-related problems, typically at investment banks, hedge funds, or financial technology firms. Their responsibilities often include analyzing large datasets, developing financial models, and implementing algorithms to assess risk or predict market trends. The internship provides hands-on experience with quantitative finance tools and exposes interns to real-world financial markets and strategies. It serves as an entry point for those interested in a career as a quantitative analyst.

What are some typical projects a Quantitative Analyst Intern might work on during their internship?

As a Quantitative Analyst Intern, you can expect to work on projects such as developing and backtesting trading algorithms, analyzing large financial datasets to identify trends, or supporting risk management teams in modeling and stress-testing portfolios. Interns often collaborate closely with experienced quants, traders, and software engineers, gaining exposure to real-time market data and financial modeling tools. These projects are designed to build your technical and analytical skills while offering insight into the workflow and collaboration typical of a quantitative finance team.
More about Quantitative Analyst Intern 2025 jobs
What cities are hiring for Quantitative Analyst Intern 2025 jobs? Cities with the most Quantitative Analyst Intern 2025 job openings:
What states have the most Quantitative Analyst Intern 2025 jobs? States with the most job openings for Quantitative Analyst Intern 2025 jobs include:
Infographic showing various Quantitative Analyst Intern 2025 job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 90% Full Time, 7% Part Time, and 1% Temporary. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Quantitative Analyst

Quantitative Analyst

Compeer Financial

Bloomington, IL • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Be an early applicant


Job description

Empowered to live. Inspired to work.
Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally.

How we support you:

  • Hybrid model – up to 50% work from home
  • Flexible schedules including ample flexibility in the summer months
  • Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match)
  • Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP
  • Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off
  • Learning and development programs
  • Mentorship programs
  • Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.)
  • Professional membership/certification reimbursement and more!

Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs.

To learn more about Compeer Financial visit www.compeer.com/careers.

Where you will work:
This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin.
The contributions you will make:

This position develops, organizes, and maintains models to support business insights and strategic decision making across the organization. Applies advanced analytic methodologies within an integrated stress-testing framework, economic capital model (credit, market and operational risk), expected credit loss model, and scenario-based forecasts, and evaluates other business-related statistical relationships. Uses quantitative methods to research modeling methodology for the development, refinement and parameter updates for risk/reward-based framework.

A typical day:

  • Examines large data sets to identify patterns, anomalies, relationships and trends. Conducts ad hoc research and analysis.
  • Utilizes analytic tools (i.e. Python, SQL), data query tools to build test, evaluate, organize and analyze large, diverse and imperfect data sets.
  • Develops data structures to support the generation of business insights and strategy and translate data findings into actionable recommendations and improvements.
  • Gathers and analyzes data from multiple internal and external sources to identify trends and predict responses.
  • Continuously evaluates industry trends for opportunities to utilize new technologies and data sources and recommend strategies to implement these enhancements in the data environment.
  • Conducts complex analytical studies with collaborative help from others, develops advanced quantitative models, and make strategic recommendations to improve performance, drive cost savings and revenue growth, and maximize profits in support of operational, risk, credit, retention, sales, and marketing effectiveness.
  • Supports the model development process for internal business clients from conceptualization through data exploration and implementation. Translating results into meaningful solutions.
  • Work with new and existing third-party vendors to implement, validate, and maintain decision models.
  • Leverages traditional quantitative approaches such as regression, decision trees, clustering, etc. as well as progressive techniques to solve business problems.
  • Conducts statistical and economic analysis to understand key drivers impacting the financial and risk position of the organization.
  • Works with model owners to conduct internal model validations following regulatory guidance and industry best practice. Documents validation processes and results.
  • Conducts back testing and validation activities and provides data analysis to support assumptions and mitigate limitations.

The skills and experience we prefer you have:

  • Bachelor's degree in computer science, information systems, mathematics, statistics, econometrics or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job.
  • Minimum of 3 years of experience in risk management modeling or advanced analytics and in-depth model development experience using econometric and statistical modeling techniques.
  • Familiarity with statistical techniques including regression analysis, decision trees, and stochastic processes.
  • Proficiency with Python highly preferred; or experience with at least one major statistical software program required.
  • Experience with data query or visualization tools preferred (i.e. SQL, Power BI).
  • Ability to communicate and explain complex quantitative modeling content to stakeholders.
  • Proven ability to work under minimal supervision and demonstrated efficiency in meeting deadlines.
  • Strong listening, written and verbal communication skills, with ability to communicate at all levels of the organization.

How we will take care of you:

Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits.

Base Pay
$75,600—$114,200 USD

Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time.

Click here to view federal employment laws applicable for applicants.