Quantitative Research Intern (PhD) — Market Signals & ML

Citadel Securities; Miami (FL); On-site; USD 204,750 - 263,900; Full time

Job summary

Citadel Securities, a leading global market maker, offers an 11-week quantitative research internship in Miami. You will collaborate with senior team members and network with peers during the summer program.

Key work includes developing valuation models, back-testing trading strategies, and turning mathematical insights into code (Python/R/C++). Strong math background and data-driven mindset are essential.

Qualifications

• 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 and translate algorithms into code.
• Back test and implement trading models and signals in live trading.
• Use unconventional data sources to drive innovation.
• Conduct research and statistical analysis to monetize trading signals

Skills

Probability & statistics

Machine learning

Time-series analysis

Pattern recognition

NLP

Data-driven research

Coding: Python/R/C++

Independent research

Multitasking in fast-paced teams

Analytical skills

Communication skills

Education

PhD in a quantitative field

Job description

Citadel Securities, a leading global market maker, offers an 11-week quantitative research internship in Miami. You will collaborate with senior team members and network with peers during the summer program.

Key work includes developing valuation models, back-testing trading strategies, and turning mathematical insights into code (Python/R/C++). Strong math background and data-driven mindset are essential.