Sector Data Scientist: Investment Insights & Data

Citadel LLC; City of Rochester (NY); On-site; USD 90,000 - 150,000; Full time

Job summary

Citadel LLC is seeking a Sector Data Scientist to support investment teams by learning how data can enhance research and inform fundamental investment insights. You will analyze diverse data sets, identify data drivers, and test complex investment theses to generate sustained alpha.

Ideal candidates are pursuing a STEM or economics-related degree with Python/SQL/Excel experience and a strong interest in finance, with excellent communication skills for presenting findings to investment teams.

Qualifications

• Pursuing a bachelor’s in statistics, engineering, economics, business, computer science, or physics.
• Experience with Python, SQL, and Excel.
• Interest in investing and finance.
• Strong communication and presentation skills for interaction with investment teams.
• Creative, with strong work ethic and organizational skills.

Responsibilities

• Learn fundamental investor approach and how data enhances the research process.
• Assist investment teams in understanding the key data drivers of companies and sectors.
• Analyze data from multiple sources to test complex investment theses.
• Quickly digest data, recognize inflection points, and determine data relevancy to the investment question at hand.
• Perform research and present to SDS team and investment teams in a clear and digestible manner.
• Work with existing and new data sets to push significant ideas and decision support tools to investment teams.

Skills

Python

SQL

Excel

Data analysis

Investment concepts

Education

Bachelor’s degree in statistics, engineering, economics, business, computer science, or physics

Tools

Python

SQL

Excel

Job description

Citadel LLC is seeking a Sector Data Scientist to support investment teams by learning how data can enhance research and inform fundamental investment insights. You will analyze diverse data sets, identify data drivers, and test complex investment theses to generate sustained alpha.

Ideal candidates are pursuing a STEM or economics-related degree with Python/SQL/Excel experience and a strong interest in finance, with excellent communication skills for presenting findings to investment teams.