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Virtual Quant Research Internships Jobs in Wisconsin

Preferred areas of research include: research methods in counseling psychology, counseling ... Candidates with methodological expertise in novel quantitative methods are especially encouraged to ...

Responsible for reviewing the work of peers and assisting with research and product development ... Coordinate with Consultants, Managers, Professional Staff, and Interns as a project team to present ...

Through trend analysis and market research, you will be responsible for creating and maintaining ... Competitive internship salary * Team-building and networking activities * Leadership and cross ...

Produce final appraisal report of quantitative and qualitative findings. * Maintain Gordon Brothers ... internships. Knowledge, Skills, Abilities * Advanced proficiency with MS Word and Excel, including ...

Through trend analysis and market research, you will be responsible for creating and maintaining ... Competitive internship salary * Team-building and networking activities * Leadership and cross ...

WI · On-site

$115 - $160/hr

... virtual culture. frogs are curious, collaborative, and courageous, united by our passion for ... quantitative insights * Advocate for the Customer - Leverage user research, market data, and ...

Forensic Chemist

Milwaukee, WI · On-site

$33.92 - $50.88/hr

... and quantitative analyses, utilizing immunoassay, chromatography, and mass spectrometry for ... Participate in department research activities including technology development, quality improvement ...

... and quantitative analyses, utilizing immunoassay, chromatography, and mass spectrometry for ... Participate in department research activities including technology development, quality improvement ...

Showing results 21-40

Virtual Quant Research Internships information

What is a virtual quant research internship?

Virtual Quant Research Internships are remote internship programs where students or recent graduates work on quantitative research projects, often in finance, data science, or technology sectors. Interns typically analyze large datasets, develop mathematical models, and use programming skills to solve real-world problems, all while collaborating with teams online. These internships provide valuable hands-on experience in quantitative analysis and research methods, as well as exposure to industry-standard tools and practices. They are ideal for individuals seeking flexibility and practical experience without relocating.

What skills and qualifications are needed to thrive as a virtual quant research intern?

To thrive as a Virtual Quant Research Intern, you need a strong background in mathematics, statistics, and programming—usually supported by coursework in quantitative fields like mathematics, finance, or computer science. Familiarity with programming languages such as Python, R, or MATLAB, and experience with statistical analysis tools or data visualization libraries, are typically expected. Analytical thinking, problem-solving, and effective remote communication skills help set candidates apart. These abilities are crucial for successfully conducting quantitative research, producing actionable insights, and collaborating with remote teams in a virtual environment.

What are common challenges faced by virtual quant research interns, and how can they be addressed?

Virtual Quant Research Interns often encounter challenges such as limited access to real-time collaboration, difficulty in understanding complex quantitative concepts without in-person guidance, and managing independent research projects remotely. To address these challenges, it's important to proactively communicate with mentors, participate in virtual team meetings, and utilize collaborative tools like shared code repositories and video conferencing. Setting clear goals and regularly seeking feedback can also help interns stay engaged and ensure progress, even in a remote environment.

What is the difference between Virtual Quant Research Internships vs Virtual Data Analyst Internships?

AspectVirtual Quant Research InternshipsVirtual Data Analyst Internships
Required CredentialsTypically pursuing degrees in finance, economics, or mathematicsOften pursuing degrees in statistics, data science, or related fields
Work EnvironmentFinancial firms, hedge funds, or investment banksCorporations, consulting firms, or tech companies
Employer & Industry UsageUsed mainly in finance and investment industriesCommon across various industries including tech, marketing, and finance
Search & Comparison IntentFocus on finance, quantitative research, and investment analysisFocus on data analysis, reporting, and business insights

Virtual Quant Research Internships primarily target students interested in finance and quantitative analysis within investment firms, while Virtual Data Analyst Internships are broader, covering various industries and emphasizing data interpretation and reporting. Both roles require strong analytical skills but differ in industry focus and typical employer types.

What are the most commonly searched types of Quant Research Internships jobs in Wisconsin?

The most popular types of Quant Research Internships jobs in Wisconsin are:

What are popular job titles related to Virtual Quant Research Internships jobs in Wisconsin?

For Virtual Quant Research Internships jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Virtual Quant Research Internships jobs in Wisconsin look for?

The top searched job categories for Virtual Quant Research Internships jobs in Wisconsin are:

What cities in Wisconsin are hiring for Virtual Quant Research Internships jobs?

Cities in Wisconsin with the most Virtual Quant Research Internships job openings:

Infographic showing various Virtual Quant Research Internships job openings in Wisconsin as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Energy Policy Statistical Analyst

Det Norske Veritas

Madison, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Are you ready to use your problem-solving and analytics skills to help key energy stakeholders develop an actionable path to a safe, reliable, equitable, and carbon-free electric grid?

Are you passionate about learning from the experts in the industry while applying your unique, experimental, and innovative ideas to develop the industry's next generation of inspiring solutions?

DNV - Energy Systems' Analytics and Digitalization group is seeking an Energy Policy Statistical Analyst to join our team. Join our team as we conduct research to understand the impacts and optimize the strategies of utility-scale energy efficiency, demand response, and distributed energy resource programs. This role will involve strategic problem solving by synthesizing your skills in analytics, statistics, programming, data visualization, and awareness of industry-relevant topics, to develop on-point analyses, reports, and presentations.

This position is based out of our Madison, WI office, although it is possible that it can be filled out of the following DNV offices: Portland, OR, Portland, ME, North Andover, MA, Medford, MA, Oakland, CA, or New York, NY, presenting a dynamic hybrid schedule where employees will typically spend three (3) days per week working from either a DNV office or client location/site. Further details regarding role-specific requirements will be shared during the interview process.

What You'll Do

This role will include a mixture of analytics, task management, and communication responsibilities. Below we include a list of a wide range of typical job expectations for this position, however the role can be flexible and versatile.

Analytics

  • Apply your deep curiosity to a diverse and expanding set of technical challenges that will support the transition to a decarbonized grid.
  • Clean and prepare large datasets for analysis.
  • Proactively check all work for errors.
  • Develop and implement study designs using RCT and RED methods.
  • Apply matched comparison algorithms.
  • Design survey samples and perform post-survey analysis of results to provide statistically valid insights.
  • Estimate site-level and panel energy consumption regression models using time of week and temperature, change point, or other models for thousands of customers.
  • Develop short-term  and long-term impact results across multiple population characteristics.
  • Conduct other ad-hoc regression, statistics, algebraic, and numerical calculation tasks to aid in determining impact of demand response and energy efficiency programs.
  • Follow analytical trends in the energy industry.
  • Maintain existing programmed analyses and identify potential improvements to be made.
  • Demonstrates foundational AI literacy by using approved AI tools for routine analytical and communication tasks, writing clear prompts, recognizing tool limits, staying curious and flexible as tools evolve.
  • Take ownership for the quality and reliability of AI-assisted work by reviewing outputs for accuracy, bias, and fit before using them. 

Task Management

  • Design quantitative and qualitative analyses to answer customer questions within time, scope, and budget constraints. 
  • Communicate proactively with project managers, subject matter experts, and other team members to ensure that tasks are completed within the project requirements.

Behavior and Communication

  • Contribute to reports and presentations by writing concise methods, key findings, and recommendations.
  • Communicate proactively and effectively with staff of all levels to find information, learn new skills, troubleshoot problems, and address complex issues.
  • Present and write about the technical information in a meaningful and impactful manner to a range of stakeholders and clients.
  • Develop and maintain positive relationships with colleagues and clients.
  • Self-manage to ensure quality results are delivered for each task, including ensuring the best methods are used, methods are used correctly, results are correct and logical, and tasks are performed on time.
     

What is Required

Please submit a 1-page cover letter along with your resume when applying. In your cover letter, please describe a research project in which you have participated. Briefly describe your role, research approach, results, and how you shared the results.

  • Bachelor's degree in economics, statistics, quantitative social science, or other analytical discipline. 
  • Upto 2 years of relevant professional experience, including internships, co-op assignments, or equivalent experience applying statistical skills to challenging data problems and demonstrated ability to communicate empirical work effectively to a wide range of audiences.
  • A proven grasp of one or more programming or statistics software languages such as Python, SAS, or R.
  • Econometrics, statistics, or biostatistics coursework or experience, preferably at the graduate level.
  • Strong written and verbal English communication skills.
  • We conduct pre-employment drug and background screening.

What is Preferred

  • Master's degree preferred.
  • Demonstrates foundational AI literacy by using approved AI tools for routine analytical and communication tasks, writing clear prompts, recognizing tool limits, staying curious and flexible as tools evolve

*Immigration-related employment benefits, for example visa sponsorship, are not available for this position*

 
  • Generous paid time off (vacation, sick days, company holidays, personal days)
  • Multiple Medical and Dental benefit plans to choose from, Vision benefits
  • Spending accounts - FSA, Dependent Care, Commuter Benefits, company-seeded HSA
  • Employer-paid, therapist-led, virtual care services through Talkspace
  • 401(k) with company match
  • Company provided life insurance, short-term, and long-term disability benefits
  • Education reimbursement program
  • Flexible work schedule with hybrid opportunities
  • Charitable Matched Giving and Volunteer Rewards through our Impact Program
  • Volunteer time off (VTO) paid by the company
  • Career advancement opportunities 

**Benefits vary based on position, tenure, location, and employee election**

DNV provides a reasonable range of compensation for this role. The actual compensation is influenced by a wide array of factors, including but not limited to skill set, level of experience, and specific location. For the states of California, Connecticut, Illinois, Maine, Massachusetts, New Jersey, New York, Virginia and Washington only, the starting pay range for this role is $76,000 - $98,000. 

DNV is a proud equal opportunity employer committed to building an inclusive and diverse workforce. All employment is decided on the basis of qualifications, merit, or business need, without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. DNV is committed to ensuring equal employment opportunity, including providing reasonable accommodations to individuals with a disability. US applicants with a physical or mental disability who require a reasonable accommodation for any part of the application or hiring process may contact the North America Recruitment Department (hrrecruitment.northamerica@dnv.com). Information received relating to accommodation will be addressed confidentially. 

For more information

 https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal