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Quantitative Developer Jobs in Columbus, OH (NOW HIRING)

Bachelor's Degree In Data Science, Statistics, Computer Science, Mathematics, Physics, Engineering, or a related quantitative field Required * Master's Degree In Data Science, Statistics, Computer ...

Take Your Engineering Career to the Next Level! Kleinfelder, a Forbes' Top Employer for Engineers ... Acquire and analyze data using appropriate standard quantitative methods * Gas system network and ...

Senior Data Engineer

Columbus, OH ยท On-site

$142K - $177K/yr

Bachelor's Degree in mathematics, statistics, computer science, or other quantitative field and relevant work experience as a Senior Data Engineer * Experience : 6+ years of experience as a Data ...

Senior Data Engineer

Columbus, OH ยท On-site

$142K - $177K/yr

Bachelor's Degree in mathematics, statistics, computer science, or other quantitative field and relevant work experience as a Senior Data Engineer * Experience : 6+ years of experience as a Data ...

Senior Data Engineer

Columbus, OH ยท On-site +1

$142K - $177K/yr

Bachelor's Degree in mathematics, statistics, computer science, or other quantitative field and relevant work experience as a Senior Data Engineer * Experience : 6+ years of experience as a Data ...

Engineer

Columbus, OH ยท On-site

... Engineer to join our Project Controls team in our regional office in Columbus, OH. This is a ... Bachelor's degree in construction management or a quantitative-related field. * Outstanding ...

Showing results 41-60

Quantitative Developer information

See Columbus, OH salary details

$91.6K

$158.6K

$242.5K

How much do quantitative developer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for quantitative developer in Columbus, OH is $158,585.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,700.00 and $185,900.00 per year, depending on experience, location, and employer.

What is a quantitative developer?

Quantitative Developers, often called 'quant devs,' are professionals who combine expertise in programming, mathematics, and finance to design, develop, and maintain complex financial models and trading algorithms. They work closely with quantitative analysts (quants) to implement models that analyze financial data, price securities, or automate trading strategies. Their role typically involves programming in languages like Python, C++, or Java, and working with large datasets to ensure the efficiency and accuracy of financial systems. Quantitative Developers play a critical role in investment banks, hedge funds, and financial technology firms.

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

To thrive as a Quantitative Developer, you need expertise in mathematics, statistics, programming (often in Python, C++, or Java), and a strong background in quantitative finance or a related field. Familiarity with financial modeling tools, version control systems like Git, and experience with data analysis libraries or platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this role. These skills are crucial for developing robust, efficient models and tools that directly support trading, risk management, and financial decision-making.

How does a quantitative developer typically collaborate with quantitative analysts and traders in a financial firm?

Quantitative Developers work closely with quantitative analysts to implement mathematical models into robust, efficient code that can be used by traders for real-time decision-making. They often translate research prototypes into production-ready applications, ensuring that the models are both accurate and optimized for speed. Regular communication with traders helps Quantitative Developers understand the practical requirements of trading strategies, allowing them to tailor tools and systems for maximum usability and impact. This collaborative environment is essential for quickly adapting to market changes and maintaining a competitive edge.

What is the difference between Quantitative Developer vs Quantitative Analyst?

AspectQuantitative DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentPrimarily software development, coding, and system implementationData analysis, modeling, and strategy development
Employer & Industry UsageFinancial firms, hedge funds, trading desksInvestment banks, asset management firms, hedge funds
Common Search & ComparisonFocuses on coding and system buildingFocuses on market analysis and strategy

While both roles work within the finance industry and require quantitative skills, Quantitative Developers primarily focus on building and maintaining trading systems and algorithms through programming. Quantitative Analysts concentrate on analyzing data and developing models to inform trading strategies. The roles often collaborate but differ in their core responsibilities and skill sets.

What are the most commonly searched types of Quantitative Developer jobs in Columbus, OH?

The most popular types of Quantitative Developer jobs in Columbus, OH are:

What are popular job titles related to Quantitative Developer jobs in Columbus, OH?

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

What job categories do people searching Quantitative Developer jobs in Columbus, OH look for?

The top searched job categories for Quantitative Developer jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Quantitative Developer jobs?

Cities near Columbus, OH with the most Quantitative Developer job openings:

Infographic showing various Quantitative Developer job openings in Columbus, OH as of August 2026, with employment types broken down into 83% Full Time, 6% Part Time, and 11% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $158,585 per year, or $76.2 per hour.

Senior Associate, Decision Science - Finance Analytics

J.P. Morgan

Columbus, OH โ€ข On-site

Full-time

Medical, Retirement

Re-posted 1 hour ago


Job description

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

JOB DESCRIPTION

Join a collaborative team of product, analytics, and engineering experts building models and tools that improve strategic finance decisions. You will work on high-impact problems, partner closely with stakeholders, and help turn data into measurable outcomes. This is an opportunity to grow your analytics and machine learning skills while delivering capabilities used across the business.

As a Quantitative Analytics Senior Associate at JPMorganChase within the Finance Decision Optimization team, you will support the end-to-end model development lifecycle - from exploratory analysis to model testing to ongoing performance monitoring and verification of production processes. You will translate business needs into technical requirements and prototype solutions, partner closely with modeling and technology teams, and deliver analytics that drive measurable business outcomes in a fast-paced environment. You will develop a strong understanding of how finance teams use data and models to make decisions, and you will help ensure solutions perform as intended in production.

Job responsibilities

  • Drive business outcomes and decision-making through data and analytics by using enterprise data to inform modeling approaches, understand behavioral patterns, and perform sensitivity analysis
  • Develop deep knowledge of supported business areas to deliver pragmatic, effective solutions
  • Translate business needs into technical requirements and collaborate with technology teams to deliver capabilities end-to-end
  • Partner with end users and data product owners during user acceptance testing and perform testing to ensure delivered functionality meets requirements
  • Partner with quantitative modeling teams to develop and refine statistical models, continuously evaluating performance and effectiveness
  • Validate that production results comply with business requirements and expected outcomes, and support ongoing monitoring and verification of production processes
  • Translate business requirements into prototype solutions for new requests and enhancements
  • Design, develop, and optimize complex SQL queries and Python scripts to support data validation, exploration, and integration with existing systems and codebases
  • Manage multiple tasks and priorities in a fast-paced environment while maintaining responsiveness to ad-hoc requests

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • 3+ years of experience at a financial institution or consulting firm in corporate finance, banking, treasury, data analytics, or quantitative modeling
  • Strong analytical skills with demonstrated ability to collect, organize, and analyze significant amounts of information with attention to detail and accuracy
  • Experience with statistical and experimental techniques such as controlled testing (A/B testing)
  • Proficiency in analytics and programming tools to drive business outcomes, including SQL and Python
  • Strong problem-solving, critical thinking, communication, and organizational skills, with the ability to articulate options and results to senior stakeholders
  • Ability to collaborate effectively with technical partners (including data engineering and quantitative modeling) and translate data into concise, actionable recommendations

Preferred qualifications, capabilities, and skills

  • Experience supporting large-scale data projects
  • Proficiency with additional analytics tools such as SAS, R, or similar
  • Experience with Databricks, Streamlit, and Amazon Web Services cloud environments
  • Experience driving adoption of artificial intelligence and machine learning solutions, including stakeholder enablement and change management

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.