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Quantitative Research Manager Jobs in Georgia (NOW HIRING)

GoTo Foods

Consumer Insights Manager

Atlanta, GA · On-site

Experience managing quantitative research design and analysis. Experience conducting a variety of quantitative analysis using consumer research, social listening, and syndicated behavioral data ...

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Quantitative Research Manager information

What does a quantitative research manager do?

A Quantitative Research Manager oversees the design, execution, and analysis of research projects that rely on numerical data. They manage teams of analysts or researchers, ensuring that statistical methods and analytical models are properly applied to generate actionable insights for business or academic purposes. Their responsibilities include developing research methodologies, managing data collection, interpreting results, and presenting findings to stakeholders. They often work closely with other departments to inform strategic decisions using data-driven evidence.

How does a quantitative research manager typically collaborate with cross-functional teams within an organization?

As a Quantitative Research Manager, you will frequently collaborate with cross-functional teams such as product development, marketing, data science, and executive leadership. Your role involves interpreting complex data, designing research methodologies, and translating findings into actionable insights. Effective communication is essential, as you'll be tasked with presenting statistical analyses and recommendations to both technical and non-technical stakeholders. This collaboration helps ensure that research initiatives align with broader business objectives and drive informed decision-making.

What are the key skills and qualifications needed to thrive as a quantitative research manager, and why are they important?

To thrive as a Quantitative Research Manager, you need advanced expertise in statistics, data analysis, research design, and a relevant degree such as in mathematics, statistics, economics, or a related field. Proficiency with statistical software (like R, Python, or SPSS), data visualization tools, and often certifications in analytics or project management are highly valued. Exceptional leadership, strategic thinking, and strong communication skills are crucial for managing teams and presenting findings to stakeholders. These skills and qualities are essential to ensure accurate insights, drive data-informed decisions, and efficiently guide research projects to completion.

What is the difference between Quantitative Research Manager vs Data Analyst?

AspectQuantitative Research ManagerData Analyst
Required CredentialsBachelor's or Master's in Statistics, Economics, or related field; experience in research methodsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentResearch teams, corporate or academic settings, focus on designing studiesData-driven departments, focus on data interpretation and reporting
Employer & Industry UsageMarket research firms, finance, consulting, academiaBusiness, marketing, healthcare, technology sectors
Common Search & Comparison IntentUnderstanding roles, responsibilities, and qualificationsComparing data analysis tasks and skills

The main difference is that Quantitative Research Managers oversee research projects, design studies, and lead teams, while Data Analysts focus on analyzing data, creating reports, and supporting decision-making. Both roles require strong analytical skills and familiarity with statistical tools, but the manager role emphasizes leadership and research design.

Is quantitative research a good career?

Quantitative research is a valuable career for those interested in data analysis, statistical modeling, and decision-making support. It often requires strong skills in mathematics, programming, and software tools like R or Python, and offers opportunities in finance, marketing, and consulting industries. The field provides a structured work environment with potential for advancement and specialization.

What are the most commonly searched types of Quantitative Research jobs in Georgia?

The most popular types of Quantitative Research jobs in Georgia are:

What are popular job titles related to Quantitative Research Manager jobs in Georgia?

For Quantitative Research Manager jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Quantitative Research Manager jobs in Georgia look for?

The top searched job categories for Quantitative Research Manager jobs in Georgia are:

What cities in Georgia are hiring for Quantitative Research Manager jobs?

Cities in Georgia with the most Quantitative Research Manager job openings:

Quantitative Research Manager jobs near you
Infographic showing various Quantitative Research Manager job openings in Georgia as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Quantitative Analyst, Quantitative Research

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

Full-time

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

Job description

Overview
Job Purpose
The Quantitative Analyst will join the Quant Group which designs, implements, and supports enterprise quantitative models and systems. The primary role for this position will be to provide model research, development, and strategic recommendations to solve practical problems in the financial industry. The candidate for this job must have the ability to work in a fast-paced environment, formulate and articulate solutions and defend assumptions. This role requires frequent interaction with Quant Research, Data Analytics, Risk Management, Technology Development and Senior Management.
Responsibilities
  • Design and develop quantitative model analytics frameworks to assess model usage and performance.
  • Create relevant test data sets, and portfolio strategies to be submitted to the model validators and regulators.
  • Investigate model behavior, carry out root cause analysis, and give model improvement suggestions.
  • Provide documentation of methods, techniques, results, and analysis.
  • Analyze large data sets, including positions, prices, and other market/liquidity data.
  • Research and design innovative quantitative solutions for stakeholders.
  • Develop and support in-house quantitative R&D platform and analytics tools to automate model testing, analysis, and visualization.

Knowledge and Experience
  • Master's Degree or above in math, quantitative finance, physics, statistics, computer science or similar quantitative fields.
  • Proficiency in Python, SQL, and object-oriented programming.
  • Advanced knowledge in math (stochastic process, probability theory, numerical methods).
  • Ability to work in a high-performance, high-velocity environment.
  • Strong analytical and organizational skills with acute attention to detail.
  • Strong communication skills in both verbal and written English.

Preferred
  • Strong knowledge of Python, SQL, and C++.
  • Strong knowledge in object-oriented programming.
  • Work experience in Options Pricing Theory.
  • Work experience in Data Analytics.

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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

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