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Quant Jobs in Ohio (NOW HIRING)

Roles & Responsibilities Perform hands-on quantitative model validation/review. This includes testing the model's conceptual soundness, data accuracy, methodology, and ongoing performance through ...

Perform hands-on quantitative model validation/review under supervision. This includes testing the model's conceptual soundness, data accuracy, methodology, and ongoing performance through techniques ...

Perform hands-on quantitative model validation/review under supervision. This includes testing the model's conceptual soundness, data accuracy, methodology, and ongoing performance through techniques ...

Quantitative Analyst

Columbus, OH · On-site

$77K - $90K/yr

The Quantitative Analyst will manage and support high-impact research projects, primarily focusing on survey design, consumer data analysis, and the synthesis of quantitative data to inform key ...

Basic Qualifications - Bachelor's degree in a quantitative field, and 10 or more years of relevant experience OR - MA/MS in a quantitative field, and six or more years of related experience OR - PhD ...

OH0713 NW Bancshares HQ, PA0258 Bellevue The Quantitative Analyst I is responsible for supporting the design, development, and maintenance of complex financial models used throughout the loan and ...

Basic Qualifications - Bachelor's degree in a quantitative field, and 10 or more years of relevant experience OR - MA/MS in a quantitative field, and six or more years of related experience OR - PhD ...

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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 Jun 12, 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 jobs pay 500,000 a year in the US?

Quantitative analysts, or quants, in finance and investment banking can earn $500,000 or more annually, especially with bonuses and profit-sharing. Senior roles in hedge funds, private equity, and trading firms often reach or exceed this level, typically requiring advanced degrees, strong programming skills, and extensive experience. High compensation is usually associated with high performance and significant responsibility in competitive environments.

What are quants?

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 make 7 figures?

Quantitative analysts, or quants, working in finance can potentially earn seven-figure salaries, especially at senior levels or in hedge funds and investment banks. These high earnings often include base salary, bonuses, and profit sharing, and typically require advanced skills in mathematics, programming, and finance. However, such compensation is not typical for all quants and depends on experience, performance, and the firm’s size and success.

Is 30 too late to become a quant?

Becoming a quantitative analyst, or quant, is possible at age 30, especially if you have a strong background in mathematics, programming, and finance. Many quants transition from related fields such as engineering, physics, or computer science, and acquiring relevant skills or certifications like a CFA or advanced degrees can facilitate entry regardless of age.

What is a quant job?

A quant job involves using mathematical models, statistical techniques, and programming skills to analyze financial data and develop trading strategies. Quants typically work in finance, often requiring knowledge of programming languages like Python or C++ and a strong background in mathematics or engineering. They help firms manage risk and optimize investment decisions.
What are the most commonly searched types of Quant jobs in Ohio? The most popular types of Quant jobs in Ohio are:

Full-time

Posted 22 days ago


Job description

Overview:
Hi All,
Client:TCS
Must Have Technical/Functional Skills
Hands-on experience in statistical and AI/ML model development or validation, with a strong understanding of quantitative modeling methods (including AI/ML algorithms) used for various Finance predictive models
Proficiency in programming languages such as Python, R, SQL or SAS.
Excellent written and verbal communication skills to clearly articulate complex technical findings to both technical and non-technical stakeholder.
Roles & Responsibilities
Perform hands-on quantitative model validation/review. This includes testing the model's conceptual soundness, data accuracy, methodology, and ongoing performance through techniques like backtesting, benchmarking, and stress testing, etc.
Provide an effective challenge throughout the model validation/review to ensure that models are robust, and all assumptions and limitations are justified.
Present findings, weakness and/or observations identified from the validation/review to model developers/owners and provide them with executable finding remediations.
Prepare detailed validation reports and memos that document the validation approach, findings, and conclusions.
Participate in internal audits and regulatory exams by presenting validation results and methodologies and assisting in the remediation of any audit or exam findings.
Act as a subject matter expert on modeling techniques, risk management practices, and regulatory trends. This involves performing research and developing advanced analytical tools or benchmarking models to aid the validation process.