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Quantitative Analyst Jobs in Ohio (NOW HIRING)

Quant Analytics Manager

Columbus, OH · 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 ...

Underwriting Analyst - FHA

Cleveland, OH · On-site

$69K - $105K/yr

ESSENTIAL JOB FUNCTIONS The Analyst will provide high level qualitative and quantitative analysis of FHA Healthcare transactions. The position will collaborate and support the LEAN Underwriters ...

Underwriting Analyst - FHA

Cleveland, OH · On-site

$69K - $105K/yr

ESSENTIAL JOB FUNCTIONS The Analyst will provide high level qualitative and quantitative analysis of FHA Healthcare transactions. The position will collaborate and support the LEAN Underwriters ...

Perform quantitative analysis of healthcare and operational data. * Build recurring and ad hoc reports. * Validate data quality and investigate anomalies. * Create visualizations supporting executive ...

Showing results 41-60

Quantitative Analyst information

See Ohio salary details

$53.7K

$127.3K

$228.2K

How much do quantitative analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for quantitative analyst in Ohio is $127,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $138,300.00 per year, depending on experience, location, and employer.

What is a quantitative analyst?

Quantitative Analysts, often called 'quants,' are professionals who use mathematical models, statistics, and computer programming to analyze financial data and support decision-making in finance. They develop and implement complex models to assess risk, value financial securities, and identify profitable investment opportunities. Quants are commonly employed by investment banks, hedge funds, asset management companies, and other financial institutions. Their work helps optimize trading strategies, manage risk, and improve financial performance.

What does a quantitative analyst do?

The responsibilities of quantitative analysts, or quants, include using mathematical models and statistics to analyze data to assess risks and develop solutions for business issues. In this role, you can work in a variety of industries, from production to finance to insurance. You typically gather and interpret data to help an organization implement a solution for maintaining its fiscal health. Duties vary with the industry. Some positions focus on collecting information from the general public or consumers of particular products through the use of polls and surveys to improve their design and marketing. Other quants work alongside researchers in the health care field to test treatments and medical equipment design.

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

To thrive as a Quantitative Analyst, you need a strong background in mathematics, statistics, computer science, and finance, often supported by an advanced degree such as a master's or PhD. Expertise in programming languages like Python, R, or MATLAB, as well as familiarity with financial modeling tools and statistical software, is typically required. Analytical thinking, problem-solving abilities, and clear communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for developing accurate financial models, managing risk, and enabling data-driven decision-making in competitive financial environments.

How does a quantitative analyst typically collaborate with other departments within a financial organization?

Quantitative Analysts frequently work closely with traders, portfolio managers, risk managers, and IT professionals to develop, test, and implement financial models. Effective communication is essential, as they must translate complex quantitative findings into actionable insights for decision-makers. It's common to participate in cross-functional meetings, provide model validation support, and help interpret results for non-technical stakeholders. This collaborative environment fosters both technical skill development and a deeper understanding of the business, which can open doors to broader career opportunities.

What is the difference between Quantitative Analyst vs Data Scientist?

AspectQuantitative AnalystData Scientist
Required CredentialsDegree in finance, mathematics, or statistics; often certifications like CFADegree in computer science, statistics, or related fields; certifications like CAP or data science certifications
Work EnvironmentFinancial firms, investment banks, hedge fundsTech companies, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in finance and investment sectorsAcross multiple industries including tech, healthcare, and retail
Common Search & Comparison IntentUnderstanding roles in finance and investment analysisExploring data analysis and machine learning roles

While both roles involve data analysis and statistical skills, Quantitative Analysts focus on financial modeling and investment strategies within finance firms. Data Scientists have a broader scope, applying data analysis across various industries, often with programming and machine learning expertise.

What is the starting salary of a quantitative analyst?

The starting salary for a quantitative analyst typically ranges from $60,000 to $90,000 annually, depending on factors such as location, education, and industry. Entry-level roles often require strong skills in mathematics, programming, and data analysis tools like Python or R.

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

The most popular types of Quantitative Analyst jobs in Ohio are:

What cities in Ohio are hiring for Quantitative Analyst jobs?

Cities in Ohio with the most Quantitative Analyst job openings:

What are popular job titles related to Quantitative Analyst jobs in OH?

For Quantitative Analyst jobs in OH, the most frequently searched job titles are:

Infographic showing various Quantitative Analyst job openings in Ohio as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $127,277 per year, or $61.2 per hour.

Quant Analytics Manager

JPMorgan Chase & Co.

Columbus, OH • On-site

$118K - $175K/yr

Full-time

Medical, Retirement

Re-posted 8 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description


Are you passionate about understanding customer needs and driving innovation through data? Join our Consumer Banking Customer Analytics team, where you'll collaborate with creative thinkers and problem solvers to deliver impactful research and insights. This role offers significant opportunities for career growth, skill development, and the chance to make a real difference for our customers and business.
Job Summary:
As a Quant Analytics Manager on the Customer Segmentation & Research team, you will guide end-to-end quantitative studies that inform product and business strategy. You'll leverage your expertise in SQL, Python, and statistical methods to analyze diverse datasets, synthesize findings, and deliver executive-quality insights. Your work will help shape the next generation of research, drive process improvements, and foster a culture of empathy and innovation. You'll partner closely with product leadership, senior business executives, and cross-functional teams to champion user experience and integrate research into design and development.
Key Responsibilities:
  • Lead quantitative research studies, including survey and big data analysis
  • Collaborate with internal and external stakeholders, including senior executives
  • Drive process improvements and contribute to the vision for research
  • Communicate findings clearly and deliver top-quality insights
  • Champion user experience research and integrate into product development
  • Train and mentor junior team members

Required Qualifications, Capabilities, and Skills:
  • 5+ years of experience planning and executing user research studies
  • Strong programming skills in SQL and/or Python; experience with large datasets
  • Proficient in statistical concepts and methods
  • Strong analytical, problem-solving, and communication skills
  • Experience mentoring and training junior team members
  • Ability to drive multiple initiatives with minimal guidance
  • Familiarity with banking and finance preferred
  • Experience with B2B research a plus

Preferred Skills and Qualifications:
  • PhD/Master or equivalent in Statistics, Mathematics, Computer Science, Data Science, Social Science, or relevant fields

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm's data sharing principles of security, customer control and convenience, and privacy.

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