Data Scientist, Global Quantitative Research

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

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.