2026-2027 Quantitative Research Analyst Internship

Citadel Securities

Sydney

On-site

AUD 34,000 - 55,000

Part time

14 days+

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Job summary

Citadel Securities in Sydney offers an 11-week Quantitative Research Analyst Internship where you collaborate with senior team members to develop and test automated quant trading strategies using advanced statistics.

You will gain hands-on experience by back testing models, applying diverse data sources, and conducting rigorous research to monetize trading signals. Opportunities to network with peers and mentors will be available throughout the program.

Qualifications

  • Bachelor’s or master’s degree in mathematics, statistics, physics, computer science, or another highly quantitative field.
  • Strong knowledge of probability and statistics, including time-series analysis and ML.
  • Experience in a data-driven research environment.
  • Experience translating models and algorithms into code (Python, R or C++).
  • Independent research experience.
  • Ability to manage multiple tasks 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 a live trading environment.
  • Use unconventional data sources to drive innovation.
  • Conduct research and statistical analysis to refine monetization systems for trading signals.

Skills

Probability & statistics
ML & time-series
Data-driven research
Coding: Python/R/C++
Independent research
Multi-tasking in fast-paced teams
Analytical skills
Written & verbal communication

Education

Bachelor’s or Master’s degree in mathematics, statistics, physics, computer science, or another highly quantitative field

Tools

Python
R
C++

Job description

2026-2027 Quantitative Research Analyst Internship

At Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. Specifically, this team develops and tests automated quant trading strategies using sophisticated statistical techniques. You’ll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.
As an intern, you’ll get to challenge the impossible in research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you’ll get the opportunity to network and socialize with peers throughout the internship.

Your Objectives
  • 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
Your Skills & Talents
  • Bachelor’s or master’s 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

Opportunities available in Sydney.

About Citadel Securities

Citadel Securities is the next-generation capital markets firm and a leading global market maker. We provide institutional and retail investors with the liquidity they need to trade a broad array of equity and fixed income products in any market condition. The brightest minds in finance, science and technology use powerful, advanced analytics to solve the market’s most critical challenges, turning big ideas into real-world outcomes.

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