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Quantitative Jobs in Georgia (NOW HIRING)

This Quantitative Engineer role sits within the Strategy & Execution team, which serves an important function within the Investment Risk group. Strategy & Execution drives change management, manages ...

This Quantitative Engineer role sits within the Strategy & Execution team, which serves an important function within the Investment Risk group. Strategy & Execution drives change management, manages ...

The Quantitative Analyst role will dive deep into portfolio analytics and Fund Analysis while also conducting data integrity testing. Portfolio Analytics includes, but not limited to: Exposure ...

The Senior Analyst, Quantitative Research supports the Banner Pricing Team within Orange Apron Media by producing prescriptive analytics, quantitative business insights and actionable visualizations ...

Our Sr. Quants develop pricing, yield optimization, and recommendation systems for Home Depot's retail media network - Orange Apron Media (OAM). In this position, you will analyze marketing data to ...

Quantitative Assets include models and End User Computing Tools (EUCs). This teammate will partner cross- functionally to execute effective, efficient, and proactive compliance with Truist's risk ...

Quant Researcher, Trading

Atlanta, GA · Hybrid

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading Research team, where they will help generate trading insights and improve execution outcomes across global ...

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Quantitative information

See Georgia salary details

$26.2K

$76.5K

$123.3K

How much do quantitative jobs pay per year?

As of May 30, 2026, the average yearly pay for quantitative 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.

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

To thrive as a Quantitative Analyst, you need strong mathematical, statistical, and analytical skills, usually supported by a degree in mathematics, finance, engineering, or a related field. Proficiency with programming languages like Python or R, experience with data analysis tools, and familiarity with financial modeling platforms are typically required. Exceptional problem-solving abilities, attention to detail, and effective communication skills help individuals excel in this role. These competencies are crucial for developing accurate models, interpreting complex data, and driving data-driven decisions in finance and business.

What are some common challenges faced by quantitative analysts when working with large datasets in finance?

Quantitative analysts often deal with vast and complex datasets, which can present challenges such as data quality issues, integration of disparate data sources, and ensuring computational efficiency. Successfully cleaning and validating data is essential to produce reliable models. Additionally, quant analysts must stay updated with the latest programming tools and statistical techniques to optimize data processing and derive meaningful insights, often collaborating closely with IT and software engineering teams to implement scalable solutions.

What are Quantitative jobs?

Quantitative jobs, often referred to as 'Quant' roles, involve the application of mathematical, statistical, and computational techniques to analyze data and solve complex problems, particularly in finance, investment banking, and technology sectors. Professionals in these roles develop and implement models to inform trading strategies, manage risk, or optimize investment portfolios. Quants typically have strong backgrounds in mathematics, statistics, computer science, or engineering and use programming languages such as Python, R, or C++. These positions are highly analytical and require a deep understanding of financial markets, data analysis, and quantitative modeling.

What is the difference between Quantitative vs Quantitative Analyst?

AspectQuantitativeQuantitative Analyst
Required CredentialsMathematics, statistics, or related degreesMathematics, statistics, or finance certifications
Work EnvironmentResearch, data analysis, modelingFinancial firms, investment banks, hedge funds
Industry UsageBroadly used in finance, tech, researchPrimarily in finance and investment sectors
Common Search IntentGeneral quantitative rolesSpecific finance-focused roles

Quantitative refers broadly to roles involving mathematical and statistical analysis across various industries. A Quantitative Analyst, however, is a specialized role within finance that applies quantitative methods to develop trading strategies, risk management, and financial modeling. While both share similar credentials and work environments, the analyst role is more industry-specific, focusing on financial markets and investment decision-making.

What are the most commonly searched types of Quantitative jobs in Georgia? The most popular types of Quantitative jobs in Georgia are:
What cities in Georgia are hiring for Quantitative jobs? Cities in Georgia with the most Quantitative job openings:
Infographic showing various Quantitative job openings in Georgia as of May 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $76,484 per year, or $36.8 per hour.
Quantitative Analyst, Quantitative Research

Full-time

Posted 24 days ago


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