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Quantitative Researcher – 2025 PhD Intern

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • Miami

AI generated summary

  • You need a PhD in a quantitative field, strong knowledge of stats/probability, coding skills (Python/R/C++), and experience in data-driven research and independent projects. Excellent analytical and communication skills are essential.
  • You will develop and enhance valuation models, backtest trading strategies, analyze unconventional data, and refine monetization systems for trading signals in a live environment.

Requirements

  • PhD 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)
  • Prior experience working in a data driven research environment
  • Experience with translating mathematical models and algorithms into code (Python, R or C++)
  • Independent research experience
  • 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 continuously improve upon mathematical models, and help 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

FAQs

What is the duration of the internship?

The internship lasts for 11 weeks.

Where are the available internship locations?

Opportunities are available in Miami and New York.

What qualifications are required for the internship?

A PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field is required.

What technical skills are preferred for this role?

Strong knowledge of probability and statistics, experience with translating mathematical models into code (Python, R, or C++), and familiarity with data-driven research environments are preferred.

What kind of projects will interns work on?

Interns will conceptualize valuation strategies, develop and improve mathematical models, back test trading models, and use unconventional data sources for innovation.

Is prior experience necessary for applying?

Prior experience working in a data-driven research environment is preferred, along with independent research experience.

What is the salary range for this internship?

The base salary range for this role is $4,325 to $5,750 per week.

Will interns have opportunities to network?

Yes, interns will have the opportunity to network and socialize with peers throughout the internship.

What communication skills are important for this role?

Strong written and verbal communication skills are important for this role.

Are there opportunities to use machine learning or data analysis techniques during the internship?

Yes, the internship will involve applying sophisticated statistical techniques, including machine learning, time-series analysis, and pattern recognition.

Finance
Industry
501-1000
Employees
2001
Founded Year

Mission & Purpose

Citadel Securities is the next-generation capital markets firm. Our work is powered by the deepest integration of financial, mathematical and engineering expertise. Combining deep trading acumen with cutting-edge analytics and technology, we at Citadel Securities deliver critical liquidity to the world’s most important financial institutions—while helping shape the global markets of tomorrow.