1

Quantitative Researcher Jobs in Ohio (NOW HIRING)

Quantitative Analyst

Columbus, OH ยท On-site

$77K - $90K/yr

Quantitative Research & Statistical Analysis: Lead the design and execution of consumer surveys (e.g., Suzy, Qualtrics). Perform rigorous statistical modeling (such as negative binomial regression ...

Conduct qualitative and quantitative research to support policy review, advocacy, and strategy development. * Collect, clean, and analyze large datasets (household surveys, energy access data, trade ...

Conduct qualitative and quantitative research to support policy review, advocacy, and strategy development. * Collect, clean, and analyze large datasets (household surveys, energy access data, trade ...

Quant Analytics Manager

Columbus, OH ยท On-site

$118K - $175K/yr

Lead quantitative research studies, including survey and big data analysis * Collaborate with internal and external stakeholders, including senior executives * Drive process improvements and ...

next page

Showing results 1-20

Quantitative Researcher information

See Ohio salary details

$49.9K

$113.3K

$186.8K

How much do quantitative researcher jobs pay per year?

As of Aug 6, 2026, the average yearly pay for quantitative researcher in Ohio is $113,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,600.00 and $145,000.00 per year, depending on experience, location, and employer.

What is a quantitative researcher?

A quantitative researcher analyzes business data for an organization. Their job is to examine this data to develop improved business models and aid in financial decision-making. Typical job duties involve using market research and data collection to study trends or problems. They also compile their results into reports for upper management. A career as a quantitative researcher requires a degree in economics, mathematics, statistics, or a related field. Additional qualifications include communication skills, business experience, and knowledge of relevant statistical tools and computer software.

What are some common challenges quantitative researchers face when working with large datasets, and how are they typically addressed?

Quantitative Researchers often encounter challenges such as data quality issues, computational limitations, and ensuring the reproducibility of their analyses when working with large datasets. To address these, they rely on efficient data cleaning techniques, leverage high-performance computing resources, and use version control tools for code and data. Collaborating closely with data engineers and software developers is also common to streamline data pipelines and optimize analytical workflows.

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

To thrive as a Quantitative Researcher, you need strong mathematical, statistical, and programming skills, often supported by an advanced degree in a quantitative field such as mathematics, statistics, physics, or computer science. Proficiency with technical tools like Python, R, MATLAB, SQL, and experience with data analysis platforms and machine learning libraries is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable insights and collaborating with interdisciplinary teams. These competencies are crucial for developing robust models, extracting valuable patterns from large datasets, and driving data-informed decision-making.
What are the most commonly searched types of Quantitative Researcher jobs in Ohio? The most popular types of Quantitative Researcher jobs in Ohio are:
What are popular job titles related to Quantitative Researcher jobs in Ohio? For Quantitative Researcher jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Quantitative Researcher jobs in Ohio look for? The top searched job categories for Quantitative Researcher jobs in Ohio are:
What cities in Ohio are hiring for Quantitative Researcher jobs? Cities in Ohio with the most Quantitative Researcher job openings:
What are popular job titles related to Quantitative Researcher jobs in OH? For Quantitative Researcher jobs in OH, the most frequently searched job titles are:
Infographic showing various Quantitative Researcher job openings in Ohio as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $113,290 per year, or $54.5 per hour.

Vice President, Quantitative Researcher, Evergreen Portfolio Management

HarbourVest

Toronto, OH โ€ข Hybrid

$210K - $280K/yr

Full-time

Medical, Retirement, PTO

Re-posted 28 days ago


Job description

Job Description Summary

For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking.

In our collegial environment that's marked by low turnover and high energy, you'll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences.

We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm.

HarbourVest is an equal opportunity employer.

This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed.

As a member of the Quantitative Investment Sciences (QIS) team, the Vice President, Quantitative Researcher will work with a team of experienced researchers to develop quantitative modeling and analysis for management of Private Equity Evergreen Portfolio. This motivated individual will be dedicated to supporting and collaborating with HarbourVest's Evergreen fund team on pipeline monitoring, liquidity management, portfolio construction, and stress testing while generating quantitative insights for client engagements and fundraising. Projects will involve leveraging large proprietary private market datasets and statistical models to systematize and enhance portfolio management decision making for these sophisticated fund structures.

This is an opportunity to join a highly diverse and growing team passionate about pioneering the application of quantitative research, ML/AI and data science to private markets investing and risk management.

The ideal candidate is someone with:
  • Passion for financial markets and investing, quantitative research with complex datasets, and demonstrated intellectual curiosity.

  • Innovative and entrepreneurial attitude. Comfortable taking initiative.

  • Excels at clearly and effectively communicating quantitative insights.

  • Strives in a collegial and collaborative team-oriented environment.

  • Results and detail oriented.

  • Willing to work in a position with uneven and high priority project work.

What you will do:

Conducting quantitative modeling and analysis to support management of evergreen private equity portfolios (80%)

  • You will play a lead role in leveraging proprietary private markets datasets and models to characterize market risk/return relationships, explore liquidity and market stress events, and develop strategies to optimize liquidity management and fund performance.

  • Accountable for communicating analysis results and actionable insights to the Evergreen fund team.

  • Support and drive adoption and integration of quantitative models to enhance portfolio construction and management processes.

Responding to ad-hoc quantitative analysis requests (20%)

  • Supporting client facing teams in conducting ad-hoc analysis and responding to client requests.

What you bring:
  • Experience in the financial services industry in a quantitative role is required; however, prior private markets experience is not required.

  • Demonstrate rigorous statistical analysis and experience analyzing large datasets.

  • Strong Python programming skills (including numerical, statistical modeling and visualization libraries) with SQL experience is required.

  • Prior experience in Monte-Carlo simulation methods is preferred

  • Ability to learn and enhance an existing code base is required

  • Prefer prior independent research experience in academia or industry

Education:
  • Bachelor of Arts (B.A) or Bachelor of Science (B.S.) required

  • Master's degree or Ph.D. in a technical field preferred

Experience:
  • 3+ years of experience in a Quantitative Finance role

#LI-Hybrid

Base Salary Range

$210,000.00 - $280,000.00

This USD base salary range represents only one component of total compensation for this role and is provided in accordance with local requirements. This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance. In addition to salary and bonus, total compensation may include eligibility for long-term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs. Our total rewards offerings are influenced by several business factors, and eligibility for certain components will vary by position and geography. Please note the posted ranges do not apply outside the U.S. and should not be converted to other currencies as a proxy for compensation in other countries.