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Data Scientist, Global Quantitative Research

Atlanta, GA, US • Posted 1 day ago • Updated 10 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Articulate
Visualization
Extract
Transform
Load
Quantitative Analysis
Quantitative Research
Data Management
Policies and Procedures
Presentations
Management
Database Architecture
Oracle
PostgreSQL
Snow Flake Schema
IT Operations
Product Management
Computational Finance
Research
Analytics
Data Science
Mathematics
Python
R
MATLAB
C
C++
Java
SQL
Relational Databases
Apache Velocity
Analytical Skill
Organizational Skills
Attention To Detail
Communication
Statistics
Time Series
Git
Finance
Derivatives
Microsoft Exchange

Articulate
Visualization
Extract
Transform
Load
Quantitative Analysis
Quantitative Research
Data Management
Policies and Procedures
Presentations
Management
Database Architecture
Oracle
PostgreSQL
Snow Flake Schema
IT Operations
Product Management
Computational Finance
Research
Analytics
Data Science
Mathematics
Python
R
MATLAB
C
C++
Java
SQL
Relational Databases
Apache Velocity
Analytical Skill
Organizational Skills
Attention To Detail
Communication
Statistics
Time Series
Git
Finance
Derivatives
Microsoft Exchange

Summary

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

Bachelor's degree in Data Science/Analytics, Engineering, Mathematics, Statistics or similar required; Post Graduate degree in Data Science, Engineering, Mathematics, Statistics or similar preferred
Statistical programming experience in Python, R, MATLAB, C/C++ or Java
Working knowledge of SQL and experience working with 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
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 preferred

-

Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10123334
Position Id: 76869ab4e4cb65f2911bb566255fc3d5
Posted 1 day ago

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