Quant Research Intern: Data-Driven Investing

American Century Investments

Kansas City (MO)

On-site

USD 11,000 - 13,000

Full time

40 hours ago
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Benefits offered by this job

Competitive pay
401k eligibility
Mentor program
Resource groups
Casual dress code
Social and philanthropic events

Job summary

American Century Investments invites qualified graduate students to join our Quantitative Research Group for a 10-week internship based in New York City or Kansas City. The program runs June 2 through August 6, 2026, with a 40-hour work week, Monday to Friday, and a pay rate of $30 per hour.

This position is for students enrolled in Master’s programs in Quantitative Finance, Statistics, Computer Science, or related fields.

Qualifications

  • This role is intended for currently enrolled Master’s students studying Quantitative Finance, Statistics, Computer Science, or other related disciplines.
  • Understanding of, and interest in, global capital markets and investing.
  • Coding experience is required.
  • Ability to communicate technical findings and work within a team environment.
  • Curious and eager to learn about data-driven underpinnings of quantitative investing, and the challenges involved.

Responsibilities

  • Be mentored by a quantitative researcher and interact with a group of quantitative investment professionals.
  • Lead a project aimed at improving our existing investment approach and/or analyze new opportunities.
  • Gain real-world experience by working with a variety of financial datasets.

Skills

Coding experience
Python
R

Education

Master's student in Quantitative Finance/Statistics/CS

Job description

American Century Investments invites qualified graduate students to join our Quantitative Research Group for a 10-week internship based in New York City or Kansas City. The program runs June 2 through August 6, 2026, with a 40-hour work week, Monday to Friday, and a pay rate of $30 per hour.

This position is for students enrolled in Master’s programs in Quantitative Finance, Statistics, Computer Science, or related fields.

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