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Quantitative Science Jobs in Atlanta, GA (NOW HIRING)

Invesco

Quantitative Engineer

Atlanta, GA · Hybrid

Degree in a quantitative subject such as Statistics, Economics, Financial Engineering, Computer Science * CFA, FRM/PRM and/or MBA (Finance) are desirable * Experience with AI and scripting ...

Invesco

Quantitative Engineer

Atlanta, GA · On-site

Degree in a quantitative subject such as Statistics, Economics, Financial Engineering, Computer Science * CFA, FRM/PRM and/or MBA (Finance) are desirable * Experience with AI and scripting ...

Invesco

Quant Researcher, Trading

Atlanta, GA · Hybrid

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... MSc or PhD in STEM major such as statistics, mathematics, computer science, computational physics ...

Truist

Decision Science Lead

Atlanta, GA

... quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact. 3. Foster communication and partnership across multiple levels of the organization ...

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How much do quantitative science jobs pay per year?

As of May 28, 2026, the average yearly pay for quantitative science in Atlanta, GA is $163,221.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,300.00 and $191,400.00 per year, depending on experience, location, and employer.

What is a Quantitative Science job?

A Quantitative Science job involves applying mathematical, statistical, and computational techniques to analyze data and solve complex problems. Professionals in this field work across industries such as finance, healthcare, technology, and research, using models and algorithms to derive insights and make data-driven decisions. They often work with large datasets, employing machine learning, statistical modeling, and data visualization to interpret results. Strong analytical skills and proficiency in programming languages like Python, R, or SQL are commonly required.

What are the key skills and qualifications needed to thrive in the Quantitative Science position, and why are they important?

To thrive in a Quantitative Science role, you need a strong background in mathematics, statistics, and data analysis, typically supported by an advanced degree in a quantitative discipline. Familiarity with programming languages such as Python or R, statistical modeling software, and experience with data visualization tools are highly valued. Problem-solving, critical thinking, and the ability to communicate complex findings clearly are important soft skills for success. These abilities are essential for accurately interpreting data, informing business or research decisions, and collaborating effectively with multidisciplinary teams.

What are some typical projects or tasks a Quantitative Science professional might work on?

A Quantitative Science professional often works on projects such as developing predictive models, designing experiments or surveys, analyzing large datasets, and reporting findings to stakeholders. You might collaborate closely with data engineers, business analysts, and subject matter experts to translate complex data insights into actionable recommendations. It's common to use statistical software and programming languages daily, and project work can range from short-term analyses to long-term research initiatives. The role offers a stimulating mix of independent analytical work and cross-functional teamwork, with opportunities to contribute to strategic decisions within an organization.
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Quantitative Science jobs near you
Quantitative Analyst, Quantitative Research

Quantitative Analyst, Quantitative Research

Intercontinental Exchange Holdings, Inc.

Atlanta, GA

Full-time

Posted 22 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

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