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Quantitative Associate Jobs in Georgia (NOW HIRING)

Home Depot

Associate Data Scientist, Marketing

Atlanta, GA · On-site

$56K - $56K/yr

The Associate Data Scientist is responsible for supporting data science initiatives that drive ... Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent ...

Home Depot

Sr. Analyst, Loyalty Program Analytics

Atlanta, GA · On-site

$110K - $110K/yr

This position uses advanced statistical, econometric, and quantitative analysis techniques to ... No associates report to this role on a permanent basis, but requires the technical leadership of a ...

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All JobsQuantitative Associate JobsQuantitative Associate Jobs in Georgia

Quantitative Associate information

See Georgia salary details

$26.2K

$76.5K

$123.3K

How much do quantitative associate jobs pay per year?

As of Jul 14, 2026, the average yearly pay for quantitative associate in Georgia is $76,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,600.00 and $100,500.00 per year, depending on experience, location, and employer.

How do Quantitative Associates typically collaborate with traders and technology teams in a financial firm?

Quantitative Associates often work closely with traders to understand their strategies and provide data-driven insights that improve trading outcomes. They also collaborate with technology teams to implement models into production systems, ensuring that algorithms are both effective and efficient. This cross-functional teamwork requires strong communication skills and a willingness to learn from professionals in different disciplines. Regular meetings, joint problem-solving sessions, and collaborative project management tools are commonly used to keep everyone aligned and drive successful outcomes.

What is the difference between Quantitative Associate vs Quantitative Analyst?

AspectQuantitative AssociateQuantitative Analyst
Required CredentialsTypically a master's degree in finance, mathematics, or related field; strong programming skillsSimilar educational background; often requires advanced quantitative skills and certifications
Work EnvironmentFinancial firms, hedge funds, asset management; collaborative teamsSame as Quantitative Associate; focused on model development and data analysis
Employer & Industry UsageCommon in investment banks, hedge funds, asset managersUsed interchangeably in many firms; both roles involve quantitative modeling
Search & Comparison IntentHigh overlap; both roles involve quantitative analysis and modeling

Both Quantitative Associates and Quantitative Analysts work in similar environments, requiring advanced degrees and strong analytical skills. The roles often overlap in responsibilities, focusing on developing models, analyzing data, and supporting trading or investment decisions. The main difference may lie in job titles used by different firms, but their core functions are quite comparable.

What jobs make $1,000,000 a year?

In the finance industry, senior roles such as hedge fund managers, private equity partners, and investment bankers can earn $1,000,000 or more annually, often through a combination of salary, bonuses, and profit sharing. Quantitative associates working in hedge funds or proprietary trading firms with successful strategies and significant assets under management may also reach this level, especially with performance-based incentives and advanced skills in data analysis and programming. High earnings typically require extensive experience, strong performance, and often a high level of education or certifications.

What is a quantitative associate?

A quantitative associate is a financial professional who applies mathematical, statistical, and programming skills to analyze data and develop models for trading, risk management, or investment strategies. They often work with tools like Python, R, or MATLAB and require strong analytical abilities and knowledge of finance or economics. The role typically involves collaboration with traders and analysts in a fast-paced environment.

What are the 4 types of quants?

Quantitative associates typically fall into four main categories: sell-side quants who develop trading models, buy-side quants who analyze investment strategies, risk quants who assess financial risks, and technology quants who build computational tools. These roles often require strong programming skills, statistical knowledge, and a solid understanding of financial markets.

Do quants make a lot of money?

Quantitative associates typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes base salary, bonuses, and profit sharing, with total earnings varying based on experience, firm size, and performance.

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

To thrive as a Quantitative Associate, you need strong quantitative analysis skills, advanced knowledge of mathematics and statistics, and typically a degree in a quantitative field such as mathematics, finance, or engineering. Proficiency in programming languages like Python or R, data analysis tools, and experience with financial modeling platforms are commonly required. Attention to detail, problem-solving abilities, and effective communication help you translate complex data insights into actionable business strategies. These skills are critical for developing accurate models, managing risk, and supporting data-driven decision-making in financial environments.

What are Quantitative Associates?

Quantitative Associates are professionals who use mathematical, statistical, and computational techniques to analyze financial data and develop models for decision-making in fields such as banking, investment, and risk management. They often support senior quantitative analysts or traders by implementing algorithms, conducting data analysis, and providing insights to improve business strategies. These roles typically require strong skills in programming, mathematics, and finance, and are commonly found in investment banks, hedge funds, and financial technology firms.
What are the most commonly searched types of Quantitative jobs in Georgia? The most popular types of Quantitative jobs in Georgia are:
What are popular job titles related to Quantitative Associate jobs in Georgia? For Quantitative Associate jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Quantitative Associate jobs in Georgia look for? The top searched job categories for Quantitative Associate jobs in Georgia are:
What cities in Georgia are hiring for Quantitative Associate jobs? Cities in Georgia with the most Quantitative Associate job openings:
Quantitative Associate jobs near you
Infographic showing various Quantitative Associate job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $76,484 per year, or $36.8 per hour.
Associate Data Scientist, Marketing

Associate Data Scientist, Marketing

Home Depot

Atlanta, GA • On-site

$56K - $56K/yr

Full-time

Posted 24 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,343 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level.
Key Responsibilities:
  • 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge
  • 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation
  • 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings

Direct Manager/Direct Reports:
  • This position reports to manager or above
  • This position has 0 direct reports

Travel Requirements:
  • No travel required.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
  • 3+ years of experience in business intelligence and analytics
  • Working knowledge of Microsoft Excel and Power Point
  • Experience in a modern scripting language (preferably Python)
  • Experience running queries against data (preferably with Google BigQuery or SQL)
  • Experience in predictive modeling, data mining and data analysis
  • Experience with data visualization software (preferably Tableau)
  • Experience utilizing statistical techniques to identify key insights that help solve business problems
  • Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
  • Basic knowledge or exposure to predictive modeling, data mining and data analysis

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • No additional education

Minimum Years of Work Experience:
  • 0

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
  • Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
  • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Customer Focus: Building strong customer relationships and delivering customer-centric solutions
  • Drives Results: Consistently achieving results, even under tough circumstances
  • Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
  • Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
  • Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
  • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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