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Quant Jobs in Ohio (NOW HIRING)

Lead quantitative analysis of portfolio performance, risk concentrations, emerging risks, and credit migration trends across Key's commercial credit portfolios. * Develop insights and recommendations ...

Lead quantitative analysis of portfolio performance, risk concentrations, emerging risks, and credit migration trends across Key's commercial credit portfolios. * Develop insights and recommendations ...

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as "What will happen next?" and ...

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as "What will happen next?" and ...

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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 Aug 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 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 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 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 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 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.

Do quants get paid well?

Quantitative analysts, or quants, typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes base pay, bonuses, and profit-sharing, reflecting the demand for their expertise in trading, risk management, and financial modeling.

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 August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $161,360 per year, or $77.6 per hour.

Quant Analytics Senior associate

J.P. Morgan

Columbus, OH

Full-time

Medical, Retirement

Re-posted 8 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Job Responsibilities

You'll be joining a pivotal, cross-functional team that measures and understands Chase's marketing performance.

You will drive meaningful impact by:

  • Partnering with analytics teams across the organization to improve how marketing effectiveness is measured, including processes, methodologies, and governance.
  • Building AI-enabled solutions that identify meaningful changes in business performance and deliver actionable insights to stakeholders without creating unnecessary noise.
  • Translating business questions into structured analytical approaches and actionable recommendations.
  • Building credibility with stakeholders through clear communication, sound analysis, and practical solutions.
  • Taking ownership of projects and processes from problem definition through implementation.
  • Collaborating with peers to maintain high standards of quality and analytical rigor.

Required Qualifications, Capabilities and Skills

  • Undergraduate or advanced degree in an analytical field, data bootcamp certification, or equivalent experience in analytics, consulting, modeling, or business analysis.
  • At least 3 years of experience in an analytical role that proactively supported data-driven decision-making.
  • Experience with analytical tools and techniques (e.g., SQL, Python, regression analysis, visualization tools).
  • Meaningful experimentation with AI tools (e.g., Copilot, Claude, ChatGPT, or similar technologies) and an eagerness to continue learning as capabilities evolve.
  • Strong analytical judgment, including the ability to distinguish meaningful business signals from normal variation and communicate insights with appropriate context.
  • Strong critical thinking skills, including the ability to validate results and identify flaws in analyses, datasets, or AI-generated outputs.
  • Ability to frame business problems as testable hypotheses and communicate findings to technical and non-technical audiences.
  • Strong organizational skills and the ability to manage multiple priorities simultaneously.

Preferred Qualifications, Capabilities and Skills

  • Financial services background.
  • Experience at a top-tier analytics or management consulting firm.
  • Demonstrated experience using AI to improve business outcomes, analytical workflows, decision-making processes, or stakeholder engagement.
  • Experience designing or improving alerting, monitoring, or decision-support processes that help stakeholders focus on meaningful business changes.
  • MBA or other master's degree in a quantitative field.

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 CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.