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Quantitative Research Associate Jobs in Wisconsin

The Associate will support and lead a diverse portfolio of applied research projects aimed at ... quantitative and statistical skills (R, Python, or equivalent) Expertise in GIS and spatial ...

The Associate will support and lead a diverse portfolio of applied research projects aimed at ... quantitative and statistical skills (R, Python, or equivalent) Expertise in GIS and spatial ...

WI · On-site

$120 - $150/hr

As an Associate Director, you will manage research and evaluation consulting projects while leading ... Design and lead quantitative research projects, including surveys, statistical analysis, and data ...

We are seeking an Associate Product Manager responsible for maximizing revenue and profitability of ... Research: Gathers and analyzes customer insights via Voice of the Customer (VOC), quantitative ...

... of 2-3 associates to cover group of 15+ stocks, including small-, mid- and large-cap companies • Provide quantitative support for industry- and company-specific research and assist in the ...

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Quantitative Research Associate information

See Wisconsin salary details

$31.3K

$91.4K

$147.4K

How much do quantitative research associate jobs pay per year?

As of Aug 18, 2026, the average yearly pay for quantitative research associate in Wisconsin is $91,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $120,100.00 per year, depending on experience, location, and employer.

What is a quantitative research associate?

Quantitative Research Associates are professionals who use advanced mathematical, statistical, and computational techniques to analyze data and solve complex problems, often in finance, economics, or scientific research. They typically work with large datasets to develop models, identify trends, and inform decision-making processes. Their work is crucial in areas such as investment banking, asset management, and risk analysis, where data-driven insights can lead to better strategies and outcomes.

What are the key skills and qualifications needed to thrive as a quantitative research associate?

To excel as a Quantitative Research Associate, you need strong quantitative analysis skills, experience with statistical modeling, and a relevant degree in mathematics, statistics, economics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with data analysis tools and financial databases are typically required. Exceptional problem-solving, attention to detail, and the ability to communicate complex findings clearly make candidates stand out. These skills are crucial for producing accurate research insights that drive effective decision-making and strategic planning.

What are the typical collaboration opportunities for a quantitative research associate within a financial institution?

Quantitative Research Associates frequently collaborate with portfolio managers, data scientists, and software engineers to develop and refine financial models and trading strategies. This cross-functional teamwork is essential for integrating new research insights into existing investment processes and ensuring that models are robust and actionable. Associates often participate in regular meetings to discuss research findings, share market insights, and troubleshoot model performance, fostering a dynamic and intellectually stimulating work environment. This collaborative structure also offers valuable exposure to different facets of the business, which can accelerate professional growth.

What is the difference between Quantitative Research Associate vs Quantitative Analyst?

AspectQuantitative Research AssociateQuantitative Analyst
Required CredentialsBachelor's degree in finance, economics, or related field; often pursuing or holding a master'sBachelor's or master's degree in finance, mathematics, or related field; certifications like CFA are common
Work EnvironmentResearch-focused, often in finance or investment firms, supporting trading or investment strategiesData analysis and modeling in finance, risk management, or trading departments
Employer & Industry UsageUsed in asset management, hedge funds, and investment banksCommon in hedge funds, investment banks, and financial institutions

While both roles involve quantitative analysis, a Quantitative Research Associate primarily focuses on developing and testing investment strategies through research, whereas a Quantitative Analyst emphasizes building models and analyzing data to inform trading and risk decisions. The roles often overlap but differ in their core focus and daily tasks.

Is quantitative research a good career?

Quantitative research is a valuable career for those interested in data analysis, statistical modeling, and financial or market research. It often requires strong skills in mathematics, programming, and statistical software, and can offer opportunities in finance, consulting, and technology sectors with competitive salaries and growth potential.

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

The most popular types of Quantitative Research jobs in Wisconsin are:

What are popular job titles related to Quantitative Research Associate jobs in Wisconsin?

For Quantitative Research Associate jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Quantitative Research Associate jobs in Wisconsin look for?

The top searched job categories for Quantitative Research Associate jobs in Wisconsin are:

What cities in Wisconsin are hiring for Quantitative Research Associate jobs?

Cities in Wisconsin with the most Quantitative Research Associate job openings:

Infographic showing various Quantitative Research Associate job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $91,426 per year, or $44 per hour.

Postdoctoral Research Associate

6AM City

Wausau, WI • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why (https://corporate.exxonmobil.com/About-us/Who-we-are) and how we can work together (https://corporate.exxonmobil.com/Sustainability/Sustainability-Report/Social/Investing-in-people). Summary We are seeking a senior Postdoctoral Research Associate to join our interdisciplinary research team at ExxonMobil Biomedical Sciences, Inc. (EMBSI). The Associate will support and lead a diverse portfolio of applied research projects aimed at evaluating the role of water management in enhancing ecosystem resilience, hydrologic function, and biodiversity across a range of ecosystems. Serving as a cross-disciplinary scientific integrator, the candidate will provide leadership in study design, QA/QC oversight, and technical coordination across hydrologic modeling, hydrogeologic systems, ecological monitoring, and geospatial analytics. This role emphasizes ensuring scientific defensibility, data integrity, and alignment across complex datasets and modeling systems, while synthesizing outputs to inform adaptive management and decision‐making. In addition to coordinating ongoing efforts, the Associate will actively generate novel research directions by translating integrated data insights into new hypotheses, study designs, and strategic initiatives. The position requires close collaboration with a broad team of industry, academic scientists, and 3rd party collaborators to co‐develop approaches, harmonize methodologies, and integrate expertise across disciplines. Through these efforts, the candidate will contribute to high‐impact research, proposal development, and partnerships with academic and industry collaborators, advancing our understanding of the water, soil, plant, animal nexus, including surface‐groundwater interactions. In addition, postdoctoral researchers are encouraged to publish and present their work in peer‐reviewed journals and conferences. This is supported through a standard internal review process designed to protect intellectual property and confidential business information while enabling timely dissemination of scientific results. This opportunity is for a postdoctoral position expected to last one to three years, subject to annual review and renewal. About you Skills and Qualifications Ph.D. in: Hydrology, Hydrogeology, Ecohydrology, Environmental Science, Rangeland Ecology, or related field Demonstrated experience with study design and experimental frameworks, Data QA/QC and management Experience with process‐based hydrologic and/or hydrogeologic models (e.g., SWAT+, APEX, MODFlOW) Strong quantitative and statistical skills (R, Python, or equivalent) Expertise in GIS and spatial analysis (ArcGIS, QGIS, GEE) Track record of peer‐reviewed publications Strong written and verbal communication, coordination, and collaboration skills Ability to work independently while collaborating effectively within an interdisciplinary team Preferred Qualifications / Experience Experience overseeing multi-disciplinary field programs Background in water quality, salinity, nutrient transport systems, or groundwater flow systems Experience with remote sensing integration (LiDAR, UAV, satellite) Experience with surface‐groundwater interaction studies and aquifer characterization Familiarity with regulatory or applied monitoring frameworks Experience working with industry‐sponsored or applied research programs Strong ability to bridge science, operations, and decision‐making What you will do Study Design & Scientific Oversight Provide leadership in study design refinement, ensuring alignment between: Hydrologic and/or hydrogeologic modeling, field monitoring networks, ecological response metrics Develop and standardize sampling frameworks and experimental design across treatment and control areas Ensure consistency between field data collection, modeling assumptions, and reporting outputs Support development of monitoring plans and adaptive management frameworks QA/QC & Data Governance Ensure implementation of QA/QC protocols across all project datasets, including: Hydrology, hydrogeology, vegetation, wildlife Establish data validation workflows, metadata standar #J-18808-Ljbffr