Quantitative Trading Intern — AI-Driven Market Signals

Citadel Securities

Miami (FL)

On-site

USD 204,750 - 263,900

Full time

14 days+
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Benefits offered by this job

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

Job summary

Citadel Securities seeks a quantitative intern to learn and contribute to trading and research. The role focuses on modeling markets, building predictive algorithms, and evaluating signals across asset classes.

You will work with senior teams in a fast-paced environment, applying statistical methods and AI concepts to innovate. The program includes networking and on-site amenities in Miami and New York.

Qualifications

  • Required: advanced degree (Bachelor's/Master's/PhD) in applied math, engineering, statistical modeling, calculus, CS, physics or related field.
  • Ability to think quantitatively and handle uncertainty with a rigorous statistical approach.
  • Desirable: experience with AI concepts like LLMs and agentic systems.
  • Strong coding skills to translate models into Python, R or C++.

Responsibilities

  • Develop in-depth knowledge of a financial market.
  • Innovate by using one of the industry's most powerful trading platforms.
  • Conceptualize valuation strategies and refine mathematical models.
  • Design, build and implement predictive models to generate trading signals.
  • Use diverse data sources to drive innovation and monetization of signals.

Skills

Quantitative modelling
Python
R
C++
Statistical analysis
Communication

Education

Bachelor's/Master's/PhD in applied math/engineering/CS

Tools

Python
R
C++

Job description

Citadel Securities seeks a quantitative intern to learn and contribute to trading and research. The role focuses on modeling markets, building predictive algorithms, and evaluating signals across asset classes.

You will work with senior teams in a fast-paced environment, applying statistical methods and AI concepts to innovate. The program includes networking and on-site amenities in Miami and New York.

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