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Quantitative Jobs in Georgia (NOW HIRING)

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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 Sep 8, 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 is a quantitative job?

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 are the key skills and qualifications needed to thrive as a quantitative analyst?

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 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 August 2026, with employment types broken down into 75% Full Time, 15% Part Time, 7% Contract, and 3% Nights. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution, with an average salary of $76,484 per year, or $36.8 per hour.

Vice President; Quantitative Finance Analyst

Atlanta, GA • On-site

$150 - $200/hr

Other

Posted 10 days ago


Job description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.

Responsibilities:
  • Research and apply quantitative techniques in finance, applied mathematics, and computer science to solve market-driven pricing and risk management problems.
  • Refine and extend the Quantitative Finance (\"QF\") C++ and Python pricing libraries to ensure accuracy, efficiency, and robustness.
  • Troubleshoot issues that arise in the overnight process for valuing the MSR Asset and Hedge Asset portfolios.
  • Participate in code reviews to ensure high-quality coding standards are maintained in our pricing libraries.
  • Collaborate with Model Risk Management operations to test model implementations and to document model details per Bank standards.
  • Research methods of extending the QF group of models to refine and improving ability to serve the overall Treasury group.
  • Remote work may be permitted within a commutable distance from the worksite.
Required Skills & Experience:
  • Master's degree or equivalent in Quantitative & Computational Finance, Applied mathematics, Statistics, Finance, or related: and
  • 2 years of experience in the job offered or a related Quantitative occupation.
  • Must include 2 years of experience in each of the following:
  • Developing and utilizing financial models and their extensions, including stochastic and statistical modeling theory;
  • Designing and implementing object-oriented programming techniques in the construction of analytics libraries;
  • Conducting model calibration with respect to optimization theory;
  • Using backward pricing for financial products and derivatives, such as fixed income and mortgage products; and,
  • Performing risk analysis and attributing for modeling results.

EMPLOYER: Bank of America N.A.

Shift:

1st shift (United States of America)

Hours Per Week:

40

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