Quantitative Research Intern: Build & Test Trading Models

Citadel Enterprise Americas LLC

City of Rochester (NY)

On-site

USD 205,000 - 264,000

Full time

2 days ago
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Job summary

Citadel Securities, a leading global market maker, invites you to an 11-week quantitative internship where you’ll collaborate with senior researchers to develop and test automated trading strategies using sophisticated statistical techniques.

You’ll backtest and implement models in a live trading environment, conceptually valuation strategies, and use unconventional data sources to drive innovation; the program runs June through August, with some flexibility and timing preferences noted in the

Qualifications

  • Post-Doctoral degree 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).
  • Experience translating mathematical models and algorithms into code.
  • Independent research experience.

Responsibilities

  • Conceptualize valuation strategies and improve mathematical models.
  • 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 monetization systems for trading signals.

Skills

Probability & statistics
Time-series analysis
NLP
Python/R/C++
Independent research
Analytical skills
Communication

Education

Post-Doctoral degree in a quantitative field

Tools

Python
R
C++

Job description

Citadel Securities, a leading global market maker, invites you to an 11-week quantitative internship where you’ll collaborate with senior researchers to develop and test automated trading strategies using sophisticated statistical techniques.

You’ll backtest and implement models in a live trading environment, conceptually valuation strategies, and use unconventional data sources to drive innovation; the program runs June through August, with some flexibility and timing preferences noted in the

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