Quantitative Intern - Credit Investment Team

ExodusPoint Capital Management, LP; Ardmore (PA); On-site; USD 28,000 - 41,000; Part time

Job summary

ExodusPoint Capital Management, LP is seeking a data science intern to assist with data sourcing, data engineering, and analytics for the pod focused on corporate bond markets and macro products. The intern will help discover and curate alpha sources and support analytics on proprietary datasets.

You will collaborate with 3 Portfolio Managers and an Analyst to manage thousands of data sources, build insights, and maintain a comprehensive data library while developing practical, data-driven

Qualifications

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

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

Skills

Data analysis

Statistical analysis

Communication skills

Problem-solving

Multi-tasking

Python/R

AI/ML interest

Education

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

Tools

AWS

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)