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Quantitative Developer Jobs in Columbus, OH (NOW HIRING)

Quantitative Analyst

Columbus, OH · On-site

$77.20K - $90.80K/yr

While grounded in statistical programming (R) and rigorous research methodologies, the analyst will ... Quantitative Research & Statistical Analysis: Lead the design and execution of consumer surveys (e ...

This position is also responsible for developing quantitative tools used in the areas of pricing ... programming in Python or R Experience programming in SQL, SAS, Java, C+, C++, or Julia General ...

OH0713 NW Bancshares HQ, PA0258 Bellevue The Quantitative Analyst III is responsible for supporting ... programming in Python or R Experience programming in SQL, SAS, Java, C+, C++, or Julia General ...

This position is also responsible for developing quantitative tools used in the areas of pricing ... programming in Python or R Experience programming in SQL, SAS, Java, C+, C++, or Julia General ...

OH0713 NW Bancshares HQ, PA0258 Bellevue The Quantitative Analyst III is responsible for supporting ... programming in Python or R Experience programming in SQL, SAS, Java, C+, C++, or Julia General ...

Python Developer

Columbus, OH

$47 - $64.75/hr

... and engineering when defining requirements for systems applications. Key Requirements and ... Quantitative finance * Python * Python web technologies, e.g. Flask, Dash * Python data processing ...

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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.
Quantitative Analyst

Full-time

This job post has expired today. Applications are no longer accepted.


ScottsMiracle-Gro rating

7.0

Company rating: 7.0 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

370th of 511 rated manufacturers


Job description

Job Summary:
The Scotts Miracle-Gro Company is a dynamic organization focused on growth and innovation. The Quantitative Analyst will manage high-impact research projects, primarily focusing on survey design and consumer data analysis to inform key business decisions. This role requires a blend of statistical programming and modern data tools to enhance data quality and workflow efficiency.
Responsibilities:
• Quantitative Research & Statistical Analysis: Lead the design and execution of consumer surveys (e.g., Suzy, Qualtrics). Perform rigorous statistical modeling (such as negative binomial regression and difference-in-difference) to measure business impact and isolate causal effects (e.g., measuring retail merchandising lift while controlling for weather/seasonality).
• Data Storytelling & Strategy: Translate complex quantitative findings into clear, strategic presentations. Build actionable visualizations (in R or Python) to present insights to stakeholders and directly influence brand and retail strategy.
• Data Integration & Workflow Innovation: Supplement traditional survey research by pulling secondary behavioral data (using SQL). Experiment with modern AI tools (like LLMs) to speed up manual processes, such as cleaning, categorizing, and quality-controlling open-ended survey responses.
• Cross-Functional Collaboration & PM: Manage multiple analytical projects simultaneously, partnering with qualitative analysts and business leaders to integrate findings and ensure timely delivery of well-rounded insights.
Qualifications:
Required:
• Minimum of 2-4 years of experience in quantitative data analysis, statistical modeling, and insights generation.
• Bachelor’s degree in Statistics, Data Science, Economics, Math, Behavioral Science or related field preferred
Preferred:
• A blend of consumer research/survey design experience AND technical data skills.
• Masters degree preferred
Company:
Founded in 1868 in Marysville, Ohio, The Scotts Miracle-Gro Company is the leading marketer of branded consumer lawn and garden products in North America. Founded in 1868, the company is headquartered in Marysville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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