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Financial Data Scientist Jobs in Georgia (NOW HIRING)

Summary The Data Scientist position is in the Logicpath division within Loomis ... We are a team of tech-savvy cash inventory management experts passionate about helping financial ...

Summary The Data Scientist position is in the Logicpath division within Loomis ... We are a team of tech-savvy cash inventory management experts passionate about helping financial ...

Summary The Data Scientist position is in the Logicpath division within Loomis ... We are a team of tech-savvy cash inventory management experts passionate about helping financial ...

Summary The Data Scientist position is in the Logicpath division within Loomis ... We are a team of tech-savvy cash inventory management experts passionate about helping financial ...

Summary The Data Scientist position is in the Logicpath division within Loomis ... We are a team of tech-savvy cash inventory management experts passionate about helping financial ...

Stay current on industry trends in machine learning, AI, Generative AI, and financial services ... data science solutions within the Payments, Banking, or Financial Services industry. * Strong ...

New

Summary The Data Scientist position is in the Logicpath division within Loomis ... We are a team of tech-savvy cash inventory management experts passionate about helping financial ...

Summary The Data Scientist position is in the Logicpath division within Loomis ... We are a team of tech-savvy cash inventory management experts passionate about helping financial ...

Stay current on industry trends in machine learning, AI, Generative AI, and financial services ... data science solutions within the Payments, Banking, or Financial Services industry. * Strong ...

New

Cary, NC (Onsite/Hybrid from Day 1) We are seeking an experienced Data Scientist to join our ... Experience working within highly regulated environments such as Insurance or Financial Services.

Job ID: 65041 Data Scientist Client: City of Atlanta- Aviation Duration: Location: 6000 N. Terminal ... Work with stakeholders across various departments (e.g., marketing, finance, operations) to ...

Data Scientist

Atlanta, GA · On-site

$85K - $90K/yr

Are you a data scientist who enjoys working directly with clients and making a direct and ... Tuition Reimbursement These benefits are designed to enhance the health, protect the financial ...

Data Scientist

Atlanta, GA · On-site

$99 - $225/hr

As a data scientist,you'reexcited at the prospect of unlocking the secrets held by a data set ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Data Scientist

Atlanta, GA · On-site

$85K - $90K/yr

Are you a data scientist who enjoys working directly with clients and making a direct and ... Tuition Reimbursement These benefits are designed to enhance the health, protect the financial ...

Data Scientist

Alpharetta, GA · On-site

$95.30 - $158.80/hr

R115426Are you passionate about using data science to drive smarter risk decisions and create ... or financial services* Strong expertise in one or more of the following: R, Python, SQL, or ...

Data Scientist

Atlanta, GA · On-site

$99K - $225K/yr

Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

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Showing results 1-20

Financial Data Scientist information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do financial data scientist jobs pay per year?

As of Aug 28, 2026, the average yearly pay for financial data scientist in Georgia is $103,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $114,800.00 per year, depending on experience, location, and employer.

What does a financial data scientist do?

A Financial Data Scientist analyzes complex financial data using statistical, machine learning, and computational techniques to identify patterns, forecast trends, and support decision-making within financial institutions. They work with large datasets from sources like market data, customer transactions, and economic indicators to develop predictive models and data-driven strategies. Their work helps organizations manage risk, optimize portfolios, detect fraud, and gain a competitive edge in the financial sector.

What are the key skills and qualifications needed to thrive as a financial data scientist?

To thrive as a Financial Data Scientist, you need strong quantitative skills, proficiency in statistical analysis, and a background in finance or economics, typically supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with machine learning frameworks, and knowledge of financial databases and tools like Bloomberg Terminal are also important. Critical thinking, problem-solving, and effective communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for building accurate financial models, driving data-driven decision-making, and delivering value in dynamic financial environments.

How does a financial data scientist typically collaborate with other departments within a financial organization?

Financial Data Scientists regularly work alongside cross-functional teams, including risk analysts, portfolio managers, and software engineers. They collaborate to develop predictive models, automate data pipelines, and translate complex data insights into actionable business strategies. Effective communication is key, as they must explain technical findings to stakeholders with varying levels of data literacy. This collaborative environment not only fosters innovation but also offers opportunities to learn from other experts and expand your professional network.

What is the difference between Financial Data Scientist vs Quantitative Analyst?

AspectFinancial Data ScientistQuantitative Analyst
Required CredentialsDegree in Finance, Data Science, or related fields; often certifications like CFA or FRMDegree in Mathematics, Statistics, Finance; CFA or FRM common
Work EnvironmentFinancial institutions, tech firms, investment firms; focus on data modeling and predictive analyticsInvestment banks, hedge funds, asset management; focus on trading strategies and risk modeling
Employer & Industry UsageUsed across finance and tech sectors for data-driven decision makingPrimarily in finance for trading, risk, and portfolio management

Financial Data Scientists analyze large datasets to develop predictive models and insights, often combining finance knowledge with data science skills. Quantitative Analysts focus on developing mathematical models for trading and risk management. While both roles require strong quantitative skills and finance knowledge, Financial Data Scientists tend to work more on data analysis and machine learning, whereas Quantitative Analysts focus on financial modeling and trading strategies.

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

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

What cities in Georgia are hiring for Financial Data Scientist jobs?

Cities in Georgia with the most Financial Data Scientist job openings:

Infographic showing various Financial Data Scientist job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $103,638 per year, or $49.8 per hour.

Data Scientist, Global Quantitative Research

Atlanta, GA

Intercontinental Exchange Holdings, Inc.
Finance and Insurance • 5 - 10K employees

Full-time

Posted 29 days ago


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