Sydney Quant Research Internship: Build & Test Trading Models

Citadel Securities; Sydney; On-site; AUD 34,000 - 55,000; Part time

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

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.