Global Quantitative Research Data Scientist

Intercontinental Exchange Holdings, Inc.; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Intercontinental Exchange, Inc. is seeking a Data Scientist to join the Quant Group to design and support enterprise quantitative models and systems.

You will develop financial data models and provide data support for Quant and Risk divisions, working with diverse tools to solve data-focused problems. The role requires collaboration with Quant Research, Risk Managers, Developers and Senior Management in a fast-paced environment, with emphasis on data reliability, performance, and clarity of

Qualifications

• Master’s degree in Data Science, Engineering, Mathematics, Statistics or similar field.
• Strong Python experience; knowledge of R, MATLAB, C/C++ or Java valued.
• Working knowledge of SQL and relational databases.
• 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.
• Advanced statistics knowledge, particularly time series.
• Experience with Git or other version control.
• Experience in Quantitative Finance and/or Financial Derivatives.

Responsibilities

• Perform data exploration and statistical analysis for quantitative research purposes.
• Data preparation, validation, and visualization of time series data such as financial derivatives.
• Develop production-quality, data-driven software to support data management and analysis.
• Create ETL applications to support core quant and risk data requirements.
• Diagnose and profile data issues and improve data reliability and quality.
• Collaborate with quantitative research and business teams to refine data management practices.
• Document methods, techniques and findings for diverse audiences.
• Manage large datasets across Oracle, Postgres, Snowflake and other platforms.
• Serve as liaison between technology, operations, product management and risk teams.
• Engage in innovative research tasks in quantitative finance and data science.

Skills

Python

SQL

Data Visualization

Time Series Analysis

Git

Machine Learning

Communication Skills

Problem Solving

R

Education

Master's degree in Data Science, Engineering, Mathematics, Statistics or related field

Tools

Oracle

PostgreSQL

Snowflake

Job description

Intercontinental Exchange, Inc. is seeking a Data Scientist to join the Quant Group to design and support enterprise quantitative models and systems.

You will develop financial data models and provide data support for Quant and Risk divisions, working with diverse tools to solve data-focused problems. The role requires collaboration with Quant Research, Risk Managers, Developers and Senior Management in a fast-paced environment, with emphasis on data reliability, performance, and clarity of