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Quantitative Developer Jobs in Columbus, OH (NOW HIRING)

About the Role We are looking for an Engineer to join our Project Controls team in our regional ... Bachelor's degree in construction management or a quantitative-related field. * Outstanding ...

Sr Software Engineer

Columbus, OH · Hybrid

$114K - $150K/yr

Location : 1400 City View Drive Columbus OH Requirements : • Bachelor's degree (Major in statistics, computer science, economics, engineering or similar quantitative field preferred) or equivalent ...

Senior Data Engineer

Columbus, OH · On-site

$123K - $138K/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 · Remote

$123K - $138K/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 · On-site

$123K - $158K/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 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 ...

Passion for blending qualitative and quantitative research to inform design strategy, rapid ... Partnering with product managers, designers, engineers, and other stakeholders to prioritize ...

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Quantitative Developer information

See Columbus, OH salary details

$92.5K

$160.2K

$245K

How much do quantitative developer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for quantitative developer in Columbus, OH is $160,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $187,900.00 per year, depending on experience, location, and employer.

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

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.

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 Quantitative Developers?

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 Is a Quantitative Developer?

A quantitative developer is a computer programmer and software engineer who writes code and develops trading infrastructure for investment banks. As a quantitative developer, your job duties include creating and testing financial models and forecasts, validating and documenting the performance of financial models, analyzing performance results, and reporting on the data to traders, financial engineers, and IT support. You need a strong background in scientific computing, an understanding of financial markets, and good communication skills to be an effective quantitative developer.

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:
Quant Analytics Senior Associate

Quant Analytics Senior Associate

JPMorgan Chase & Co

Columbus, OH

Full-time

Medical, Retirement

Posted 6 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

The Finance Decision Optimization team is a group of product, analytics, and engineering experts who support the development of machine learning models and other tools used to drive strategic decisions across the Consumer and Community Banking Finance organization.

As a Data Science 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.

 Job responsibilities

  • Drive business outcomes and decision making through data and analytics, using data warehouse data to inform modeling approaches, understand customer behavior, and perform sensitivity analysis
  • Develop comprehensive knowledge of supported business units to deliver pragmatic, effective solutions
  • Translate business demands into technical requirement documents and collaborate with technology teams to deliver capabilities end-to-end
  • Work closely with end-users and data product owners during user acceptance testing and perform testing to ensure functionality meets end-user requirements
  • Partner with the business modeling team to develop and refine statistical models, continuously evaluating performance and effectiveness
  • Validate that production results comply with business requirements and expected results, and support ongoing monitoring and verification of production processes
  • Translate business requirements into prototype solutions for new requests and enhancements
  • Independently design, develop, and optimize complex SQL queries and Python scripts to support data validation, exploration, and integration with existing systems and codebases
  • Take a leadership role by contributing strategic direction and thought leadership as a critical member of the Finance Decision Optimization team
  • 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 problem-solving skills with excellent analytical, critical thinking, communication, organizational, and technical skills, with proven ability to collect, organize, and analyze significant amounts of information while maintaining attention to detail and accuracy
  • Proficiency in business analytics tools and programming languages to perform data analytics and drive business outcomes, including SQL and Python
  • Ability to communicate effectively with technical peers including data engineering and quantitative modeling teams, and translate data into concise and 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

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

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.

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