Post-PhD Employment Opportunity With SIG (Sydney)

Published in the Research School of Physics Event Horizon
Vol49 Issue23 17–21 June 2024

What you’ll do

The general lifecycle of a quant project begins with an idea:

As a Quantitative Researcher, you will investigate that idea by immersing yourself in market data, leveraging tools in mathematics, statistics, and programming.
Through your research, you may discover a new pattern that can transform into a trading signal.
You will work side-by-side with technologists in order to back test your results and put that trading signal into production.
Once that signal is embedded in our electronic trading strategies, you will continue to do research on that strategy in order to optimize its performance.
As your trading strategy evolves, you will discuss with other researchers, strategists, and traders to collect feedback and brainstorm new ideas.
Some of those ideas will turn into new quant projects, and the life cycle starts all over again.

What SIG is looking for

PhD in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
Exceptional mathematical problem-solving skills
Solid communication skills, both in the ability to understand others and to make yourself clearly understood
Strong, practical computing skills; a specific language proficiency is less important than your ability to get computers to accomplish tasks efficiently and reliably
Experience working on in-depth research projects
Finance experience is not a requirement