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Quant Jobs in Ohio (NOW HIRING)

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Quant information

See Ohio salary details

$93.2K

$161.4K

$246.7K

How much do quant jobs pay per year?

As of Sep 14, 2026, the average yearly pay for quant in Ohio is $161,360.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,900.00 and $189,200.00 per year, depending on experience, location, and employer.

What is a quant?

Quants, short for quantitative analysts, are professionals who use mathematical models, statistics, and computational techniques to analyze financial data and develop trading strategies. They are typically employed by investment banks, hedge funds, asset management firms, and financial technology companies. Quants play a crucial role in pricing securities, managing risk, and optimizing portfolios. Their expertise is essential for making data-driven decisions in complex financial markets.

What does a quant do?

Quant refers to a quantitative analyst whose responsibilities are to research and analyze market trends in finance. As a quant, you research and decipher statistics and design financial models to help banks, insurance companies, and other finance-focused organizations assess and prevent their risk, make sound investments, and better understand pricing structures to increase profit. Your duties also include creating codes for programs that follow financial trends and patterns, recording data and analyses, and consulting with business leaders in an organization to offer suggestions to combat potential financial risks. Large financial institutions and firms with trading processes typically hire quants.

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

To thrive as a Quant, you need strong quantitative and analytical skills, typically supported by advanced degrees in mathematics, statistics, physics, or related fields. Proficiency with programming languages like Python or C++, financial modeling, and familiarity with tools such as MATLAB or R are essential, along with knowledge of financial markets. Exceptional problem-solving, attention to detail, and effective communication help Quants stand out in collaborative and high-stakes environments. These skills enable Quants to develop robust models and strategies that drive critical decision-making and risk management in finance.

What are some common challenges faced by quants when collaborating with software developers and traders?

Quants often encounter challenges in bridging the gap between theoretical models and practical implementation. Effective communication is essential, as translating complex quantitative concepts into actionable trading strategies requires close collaboration with both software developers and traders. Misunderstandings can occur due to differences in technical language or priorities, so fostering a collaborative environment and being open to feedback is crucial. Regular meetings and clear documentation can help ensure that models are accurately implemented and aligned with trading objectives.

What is the difference between Quant vs Data Analyst?

AspectQuantData Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires advanced degreesBachelor's in Statistics, Economics, or related field; sometimes requires certifications
Work EnvironmentFinancial firms, hedge funds, investment banksCorporations, consulting firms, market research
Employer & Industry UsagePrimarily in finance and tradingAcross various industries including finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding quantitative roles in financeExploring data analysis careers

While both Quant and Data Analyst roles involve working with data, Quants focus on developing complex models for trading and risk management in finance, often requiring advanced degrees and specialized skills. Data Analysts typically interpret data to inform business decisions across industries, with a broader scope and different tools. The roles overlap in data handling but differ significantly in application and industry focus.

Are quant jobs high paying?

Quant jobs, which involve quantitative analysis and modeling, are generally high paying within the finance industry due to the specialized skills required, such as programming, mathematics, and data analysis. Salaries can vary based on experience, location, and the firm, but they are often among the top-paying roles in finance and technology sectors.

What are the jobs in quant?

Quant jobs typically involve developing and implementing mathematical models to analyze financial data, manage risk, and inform trading strategies. Common roles include quantitative analyst, quantitative researcher, quantitative developer, and risk manager, often requiring strong skills in programming, statistics, and finance. These positions are prevalent in investment banks, hedge funds, and asset management firms.

What are the most commonly searched types of Quant jobs in Ohio?

The most popular types of Quant jobs in Ohio are:

Infographic showing various Quant job openings in Ohio as of September 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $161,360 per year, or $77.6 per hour.

Senior Associate, Quantitative Researcher, Private Equity Co-Investments (Boston, London or Dublin)

London, OH • Hybrid

HarbourVest
Investment Clubs and Venture Capital Companies • 201 - 500 employees

$180K - $210K/yr

Full-time

Medical, Retirement, PTO

Re-posted 6 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, this Senior Associate, Quantitative Researcher will work with a team of experienced researchers to develop and conduct quantitative modeling and analysis of Private Equity Co-Investment opportunities. This motivated individual will be dedicated to supporting HarbourVest's Global Direct Co-Investment strategy team on active investment diligence, pipeline monitoring, portfolio construction, and generating quantitative insights for client engagements and fundraising. Our projects harness large proprietary private market datasets and statistical models to produce insights that enhance a historically fundamental research-based investment process.

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/statistical analysis of private markets and investment opportunities (80%)

  • You will play a lead role in analyzing proprietary private markets datasets and models to characterize market risk/return relationships, evaluate investment opportunities in the private equity co-investment market to inform investment selection and due diligence.

  • Diligently perform data exploration and visualization to test investment team hypotheses.

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

  • Support and drive adoption and integration of QIS models with fundamental analysis conducted by deal teams.

  • Seek to apply new models and techniques (AI/ML) to advance the use of quantitative methods in the investment process.

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 quantitative equity is required; prior experience with bottoms-up financial modeling is preferred.

  • Prior private markets experience is not required.

  • Demonstrate rigorous statistical analysis and experience analyzing large datasets.

  • Strong programming skills, preferably in Python (including numerical, statistical modeling and visualization libraries) and SQL.

  • Prefer prior independent research experience (academic thesis or industry research)

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 (for US-based employees)

$180,000.00 - $210,000.00

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.