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Quantitative Developer Jobs in Columbus, OH (NOW HIRING)

ServiceNow Developer - Consultant

Columbus, OH · On-site

$52.25 - $71.75/hr

ServiceNow Developer - Consultant Our Deloitte Cyber team understands the unique challenges and ... quantitative return on investment, program and target operating model, data strategy & governance ...

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

$114.50K - $150.90K/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 ...

They are seeking a ServiceNow Developer - Consultant to design and develop ServiceNow solutions ... quantitative return on investment, program and target operating model, data strategy & governance ...

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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 May 28, 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?

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 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.

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 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 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 May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $158,585 per year, or $76.2 per hour.
Quant Analytics - Senior Associate - Alternative Lending Analytics Team

Quant Analytics - Senior Associate - Alternative Lending Analytics Team

JPMorgan Chase & Co

Columbus, OH

Full-time

Medical, Retirement

Posted 23 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Join the Alternative Lending Analytics Team, where you'll use your analytical expertise to drive customer engagement and product performance. You'll collaborate with stakeholders, define metrics, source and analyze data, and deliver actionable reports. The role involves leading complex analytical projects, designing experiments, and presenting insights to senior leadership. You'll influence business decisions, manage priorities, and ensure client satisfaction through effective communication and data-driven recommendations. Candidates should have a BS/BA in a quantitative field, 2+ years of analytics experience (preferably in financial services), and proficiency with tools like SAS, SQL, Python, Alteryx, and Tableau.  Strong problem-solving, attention to detail, and the ability to convey complex findings to diverse audiences are essential. An advanced degree is preferred. 

Job Summary  

Use your analytical skills to drive the alternative lending products and serve customers better.  As a Quant Analytics Senior Associate in the Alternative Lending analytics Team, you will be responsible for working across alternative lending stakeholders and partners to drive customer engagement and product performance by defining metrics, sourcing data, developing queries, and creating reports. You'll combine analytic skills with specific domain knowledge to make data actionable allowing for ease of consumption.  You'll translate between analytic and non-analytic groups as well as facilitate holistic, cross-functional learning.  You'll use exceptional quantitative analytic & problem-solving skills, superior communication skills, and sound judgment to effectively work in a fast pace and dynamic environment. 

Job responsibilities  

  • Participate in strategic projects and provide ideas and inputs on waysto leverage quantitative analytics to generate actionable business insights and/or solutions to influence business strategies and identify opportunities to grow 

  • Completecomplex analyticalprojects end to end with limited guidance and instructions,from formulating project proposal, performing hands-on data mining and analysis, translating the findings into actionable business solutions, and managing project timeline.  

  • Present final results and recommendations to senior leadership and business partners 

  • Driveexperimentdesignand evaluate campaign effectiveness 

  • Sets correct expectations and manage priorities to meet commitments 

  • Collaborate with business partners to identify impactful projects, influence key decisions with data, and ensure client satisfaction 

  • Effectively convey analytical findings and recommendations in way that influence and inform stakeholders 

  • Contribute to a positive and inclusive culture and team environment 

Required Qualifications, skills and capabilities 

  • BS/BA Degree in a relevant quantitative field (e.g. Statistics, Economics, Finance, Business Analytics, Mathematics, Engineering, Computer Scienceor related field involving significant quantitative research & data analytics) 

  • 2+ years of industry experience in business analytics roles (e.g., marketing / risk analytics, product analytics, business insights) 

  • 2+ years of workexperience across broad range of analytics technologies and tools (SAS, SQL, Spark, Python, AI LLMetc.) in a big data environment  

  • Financial services experience especially in credit card or mortgage  

  • Exceptional communicator who's able to convey complex information in an understandable, compelling, and persuasive manner to technical and non-technical stakeholders 

  • Ability to identify key drivers, prioritize, be results-oriented, and have a strong attention to detail 

  • Proficient applying quantitative methods for business analytics 

  • Adept critical thinker and problem solver 

Preferred qualifications, skills and capabilities 

  • Advanced degree in a relevant quantitative field  

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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