Quantitative Research Data Scientist — Global Impact

Intercontinental Exchange Holdings, Inc.; Atlanta (GA); On-site; USD 95,000 - 130,000; Full time

Job summary

Intercontinental Exchange, Inc. seeks a Data Scientist to join the Quant Group in designing and supporting enterprise quantitative models and data systems. The role demands building data-driven software and ETL solutions to empower Quant and Risk divisions.

You will work with Quant Researchers, Risk Managers, and engineers to deliver reliable data and actionable insights in a fast-paced environment. Strong Python and SQL skills, plus knowledge of time-series analysis, are essential.

Qualifications

• 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 valued.
• Working knowledge of SQL and 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 and customer-focused mindset.
• Experience with Time Series and Quantitative Finance is a plus.
• Experience with version control tools such as Git is preferred.

Responsibilities

• Perform data exploration and statistical analysis for quantitative research purposes.
• Data preparation, validation, and visualization of time series and financial derivatives.
• Build production-quality, data-driven software for data management and analysis.
• Develop ETL applications to support quant and risk data requirements.
• Diagnose data issues and improve data reliability, efficiency, and quality.
• Collaborate with quantitative researchers and business experts to refine data management practices.
• Present methods and findings to diverse audiences with clear documentation.
• Manage large datasets across platforms like Oracle, Postgres, Snowflake, etc.
• Serve as liaison between technology, operations, product management and Financial Eng. teams.
• Engage in innovative research tasks in quantitative finance and data science.

Skills

Python

R

MATLAB

Java/C++

Analytical thinking

Communication

Detail-oriented

Education

Master's degree in Data Science or related field

Tools

SQL

Git

Snowflake

Oracle

PostgreSQL

Job description

Intercontinental Exchange, Inc. seeks a Data Scientist to join the Quant Group in designing and supporting enterprise quantitative models and data systems. The role demands building data-driven software and ETL solutions to empower Quant and Risk divisions.

You will work with Quant Researchers, Risk Managers, and engineers to deliver reliable data and actionable insights in a fast-paced environment. Strong Python and SQL skills, plus knowledge of time-series analysis, are essential.