Quantitative Research Intern - Markets & Trading

Citadel Securities

Miami (FL)

On-site

USD 10,647,000 - 13,723,000

Full time

4 days ago
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Job summary

Citadel Securities invites you to join an 11‑week quantitative research internship in Miami or New York. You will work with senior researchers to conceptualize valuation strategies, develop mathematical models, and translate those models into code, primarily using Python, R, or C++.

The program emphasizes collaboration, data-driven exploration, and real-world trading insights. During the internship, you’ll back test trading models in live environments, leverage unconventional data sources, and

Qualifications

  • PhD in mathematics, statistics, physics, computer science, or another highly quantitative field.
  • Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP).
  • Prior experience in a data driven research environment.
  • Experience translating mathematical models and algorithms into code (Python, R or C++).
  • Ability to manage multiple tasks and thrive in a fast-paced team environment.
  • Excellent analytical skills, with strong attention to detail.
  • Strong written and verbal communication skills.

Responsibilities

  • Conceptualize valuation strategies, develop and improve mathematical models, and translate algorithms into code.
  • Back test and implement trading models and signals in a live trading environment.
  • Use unconventional data sources to drive innovation.
  • Conduct research and statistical analysis to build and refine monetization systems for trading signals.

Skills

Probability & statistics
Data-driven research
Multi-tasking
Analytical skills
Written & verbal communication

Education

PhD in quantitative field

Tools

Python
R
C++

Job description

Citadel Securities invites you to join an 11‑week quantitative research internship in Miami or New York. You will work with senior researchers to conceptualize valuation strategies, develop mathematical models, and translate those models into code, primarily using Python, R, or C++.

The program emphasizes collaboration, data-driven exploration, and real-world trading insights. During the internship, you’ll back test trading models in live environments, leverage unconventional data sources, and

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