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Quantitative Scientist Jobs in Georgia (NOW HIRING)

Rainbook

The Quantitative Analyst role will dive deep into portfolio analytics and Fund Analysis while also ... Bachelor's Degree in Finance, Mathematics, Computer Science or related academic degree * 2+ years ...

Truist

Decision Scientist II

Atlanta, GA · On-site

$100K - $115K/yr

... quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact. 3. Pursue business outcomes valued through increased revenue and/or efficiency leveraging ...

Truist

Decision Scientist II

Atlanta, GA · On-site

$100K - $115K/yr

... quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact. 3. Pursue business outcomes valued through increased revenue and/or efficiency leveraging ...

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

Data Scientist II Location: 30 Ivan Allen Jr Blvd, NW, Atlanta GA, 30308 HYBRID Duration: 1 Year ... D. in a quantitative field * Experience with big data technologies (Hadoop, Spark) * Experience ...

Crew Career Center

Data Scientist

Atlanta, GA · On-site

Incumbents whose focus is the quantitative analysis of complex business problems and issues using ... The data scientist role involves solving technical, data-driven Healthcare problems using computer ...

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Quantitative Scientist information

What is the difference between Quantitative Scientist vs Quantitative Analyst?

AspectQuantitative ScientistQuantitative Analyst
Required CredentialsAdvanced degrees (Master's/PhD) often preferred, strong math/stats backgroundBachelor's or Master's degree, strong analytical skills
Work EnvironmentResearch-focused, developing models, often in finance or techData analysis, reporting, supporting trading or business decisions
Employer & Industry UsageFinancial firms, hedge funds, tech companiesBanking, investment firms, financial services
Common Search & Comparison IntentUnderstanding role differences, career pathsJob responsibilities, skills required

While both roles involve quantitative analysis, Quantitative Scientists typically focus on developing new models and algorithms, often requiring advanced degrees and research skills. Quantitative Analysts tend to apply existing models to support decision-making, with a focus on data analysis and reporting. The roles overlap in finance and tech industries, but differ in scope and complexity.

What does a quantitative scientist do?

A quantitative scientist analyzes data using mathematical models, statistical techniques, and programming skills to solve complex problems and inform decision-making. They often work with large datasets, employ tools like Python or R, and develop algorithms to identify patterns or optimize processes. Their work is common in finance, technology, and research environments.

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

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

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

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

What cities in Georgia are hiring for Quantitative Scientist jobs?

Cities in Georgia with the most Quantitative Scientist job openings:

Quantitative Scientist jobs near you
Infographic showing various Quantitative Scientist 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.

Data Scientist, Global 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 Data Scientist will join the Quant Group which designs, implements, and supports enterprise quantitative models and systems. The primary role of this position will be to support the design and development of financial data models and provide data support for the Quant and Risk divisions. The role will use a variety of data science, analytics and engineering tools and techniques to solve diverse, data focused problems across the business. The candidate for this job must have the ability to work in a fast-paced environment, formulate and articulate solutions, defend assumptions and be highly detail oriented. This role requires frequent interaction with Quant Research, Risk Managers, Developers and Senior Management.

Responsibilities

  • Perform data exploration and statistical analysis for quantitative research purposes
  • Data preparation, validation, and visualization of various data sets such as time series of financial derivatives
  • Build production quality, data driven software solutions to support data management and analysis
  • Develop ETL applications to support core quant and risk team data requirements
  • Diagnose and profile data issues and recommend ways to improve data reliability, efficiency, and quality
  • Coordinate with quantitative research and business experts to develop and refine data management best practices, policies, and procedures
  • Provide documentations and/or presentations to illustrate methods, techniques, and findings for individuals with diverse professional backgrounds
  • Manage large data sets and interpret diverse database architecture across various platforms such as Oracle, Postgres, Snowflake, etc.
  • Serve as a liaison between technology, operations, product management and the Financial Engineering teams
  • Engage in innovative research tasks in the quantitative finance and data science field

Knowledge and Experience

  • Master's degree in Data Science, Engineering, Mathematics, Statistics or similar field
  • Statistical programming experience required, with strong preference for Python. Experience with R, MATLAB, C/C++ or Java is also valued
  • Working knowledge of SQL and experience working with relational databases preferred
  • Ability to work in a high-performance, high-velocity environment
  • Strong analytical and organizational skills with acute attention to detail
  • Strong communication skills
  • Customer focused and results oriented
  • Advanced Statistics knowledge related to Time Series preferred
  • Experience with code versioning tools such as Git preferred
  • Experience in Quantitative Finance and/or Financial Derivatives
----------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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