Quantitative Research Intern (PhD) - Markets & ML

Citadel Securities; Miami (FL); On-site; USD 205,000 - 264,000; Full time

Job summary

Citadel Securities in Miami and New York offers an 11-week quantitative research internship. You’ll collaborate with senior team members, develop your skills, and network with peers throughout the program, which runs during the summer.

The role focuses on conceptualizing valuation strategies, backtesting trading models, and translating mathematical models into code using Python, R, or C++. You’ll apply advanced statistics to financial data and explore unconventional data sources.

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 working in a data driven research environment.
• Experience with translating mathematical models and algorithms into code (Python, R or C++).

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.

Skills

PhD required

Probability & stats

Code translation

Team collaboration

Education

PhD degree

Tools

Python

R

C++

Job description

Citadel Securities in Miami and New York offers an 11-week quantitative research internship. You’ll collaborate with senior team members, develop your skills, and network with peers throughout the program, which runs during the summer.

The role focuses on conceptualizing valuation strategies, backtesting trading models, and translating mathematical models into code using Python, R, or C++. You’ll apply advanced statistics to financial data and explore unconventional data sources.