Data Science Intern

ExodusPoint Capital Management, LP; Ardmore (PA); On-site; USD 20,000 - 30,000; Part time

Job summary

ExodusPoint Capital Management, LP, located in Ardmore, Pennsylvania, is seeking an intern to support data science initiatives. The role involves running analytics on proprietary data and collaborating on projects that utilize alternative datasets in investment strategies.

The ideal candidate will possess strong problem-solving skills and proficiency in data engineering, with a degree in Statistics or a related field. Communication abilities are essential for generating insights from data.

Qualifications

• Strong written and verbal communication abilities.
• Experience in or an interest in AI/ML products.
• Ability to generate insights from diverse datasets.

Responsibilities

• Run analytics on current proprietary data.
• Collaborate on statistically intensive projects.
• Develop uses of market data in investment strategy.
• Maintain an organized library of databases.

Skills

Data engineering proficiency

Problem-solving skills

Communication skills

Statistical analysis

Education

Undergraduate or Master’s in Statistics, Applied Mathematics, Data Science, or related field

Tools

AWS

Big data services (EMR, Glue, Redshift)

Job description

The pod primarily focuses on the corporate bond market as well as broader macro products. The group currently consists of 3 Portfolios Managers and an Analyst to manage capital and looking for an intern to help with data science, data sourcing, and data engineering, who are responsible for the discovery, management, and curation of thousands of alpha sources for the group.

Responsibilities:

• Help pod run analytics on current proprietary data
• Collaborate with team on statistically intensive projects
• Help team develop alternative uses of market data and alternative datasets in the investment strategy
• Create and maintain an organized library of all databases and data owned by team and firm

Qualifications:

• Undergraduate or Master’s in Statistics, Applied Mathematics, Data Science, or related field preferred,
• Ability to generate and present insights from diverse datasets
• Data engineering proficiency is desired using AWS/big data services (i.e., EMR, Glue, Redshift)
• Experience creating written content and graphs to answer investment debates through datasets
• Goal oriented and industrial in approach, multi-tasker
• Strong problem-solving skills including intellectual curiosity with strong analytical, quantitative, and critical reasoning skills
• Strong written and verbal communication
• Experience in or a strong understanding and interest for AI/ML products (preferred)