Quant Research Intern: Build Trading Models & Data Insights

Citadel

Greenwich (CT)

On-site

USD 204,750 - 263,900

Full time

14 days+
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Benefits offered by this job

Sign-on bonus
Housing stipend
Company-sponsored travel
On-site fitness
Catered meals
Networking events

Job summary

Citadel's internship program offers an 11-week quantitative research internship to collaborate with senior team members and connect with peers. You will learn to conceptualize valuation strategies and translate models into code, applying advanced statistical techniques to financial markets.

During the program you will back test trading models, explore unconventional data sources, and refine monetization strategies for signals.

Qualifications

  • Bachelor's or master's in a highly quantitative field.
  • Strong knowledge of probability and statistics; ML and time-series.
  • Experience in a data-driven research environment.
  • Ability to translate models into code in Python, R or C++.
  • Independent research experience and strong communication.

Responsibilities

  • Conceptualize valuation strategies and develop mathematical models.
  • Back test and implement trading models in a live trading environment.
  • Use unconventional data sources to drive innovation.
  • Conduct research and statistical analysis to refine monetization of signals.

Skills

Statistical analysis
Machine learning
Time-series analysis
NLP
Data-driven research
Analytical thinking
Communication skills
Attention to detail

Education

Bachelor's or Master's in mathematics
Statistics or physics or CS

Tools

Python
R
C++

Job description

Citadel's internship program offers an 11-week quantitative research internship to collaborate with senior team members and connect with peers. You will learn to conceptualize valuation strategies and translate models into code, applying advanced statistical techniques to financial markets.

During the program you will back test trading models, explore unconventional data sources, and refine monetization strategies for signals.

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