Job Search and Career Advice Platform

Enable job alerts via email!

Quantitative Systematic Trader - PhD: 2026

Susquehanna Growth Equity

Council of the City of Sydney

Hybrid

AUD 100,000 - 150,000

Full time

Today
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A global quantitative trading firm is seeking a Quantitative Systematic Trader in Australia. The role requires a PhD in a quantitative field and strong analytical and coding skills, particularly in Python. You will collaborate with teams to develop and monitor trading strategies in a fast-paced environment. The firm offers a competitive salary, extensive benefits including healthcare and gym allowances, and a non-hierarchical culture fostering growth and impact.

Benefits

Highly competitive remuneration
Private healthcare and gym allowances
Regular social and community events
Visa sponsorship and relocation package
Daily breakfast and lunch provided

Qualifications

  • PhD in a quantitative field such as Mathematics or Economics.
  • Excellent logical reasoning skills are essential.
  • Experience writing code to analyze large data sets.

Responsibilities

  • Investigate market data and develop trading signals.
  • Monitor real-time performance of trading strategies.
  • Collaborate with team members for feedback and new ideas.

Skills

Analytical problem-solving skills
Strong communication skills
Experience in Python
Solid logical reasoning
Interest in strategic games
Ability to thrive in a fast-paced environment

Education

PhD in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics

Tools

C++
Job description
Overview

We’re looking for quant‑minded strategists who value interdisciplinary knowledge and cooperative thinking. Our Quantitative Systematic Traders combine quantitative research with trading to develop electronic strategies and monitor real‑time performance. As a hybrid of core disciplines, Quantitative Systematic Traders constantly communicate and connect ideas between trading, technology, and quantitative research.

The general life cycle of a quant project begins with an idea:

  • This idea can come from anyone: you, the mentor who sits beside you, or someone you meet in the cafeteria.
  • As a Quantitative Systematic Trader, 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.
  • To assess the strength of that trading signal, you will run it through our backtesting environment and carefully analyze its performance.
  • If that signal produces profitable results, you will work side‑by‑side with technologists and put it into production.
  • Once that signal is embedded in our electronic trading strategies, you will actively monitor its real‑time performance in the financial markets.
  • 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.

We have a comprehensive orientation program designed to bridge the gap between academia and industry. Education topics include an introduction to options pricing, exposure to our proprietary data sets, and opportunities to practice data analysis techniques. Beyond orientation, our trading floor serves as an unlimited source of discussion for learning and development.

What we’re looking for
  • PhD in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
  • Solid, analytical problem‑solving skills
  • Excellent logical reasoning
  • Strong communication skills in a fast‑paced and highly collaborative environment are essential
  • Experience writing code to process and analyze large sets of data, especially in Python
  • Experience in C++ or other low level programming languages is a plus
  • Demonstrated interest in strategic games and/or competitive activities
  • Ability to thrive in a fast‑paced environment
What’s in it for you
  • Our market‑leading education program, incorporating classroom theory, simulated learning, and a secondment to our Philadelphia office is renowned to set graduates up for success.
  • Our non‑hierarchical culture allows employees of every level to thrive and have an impact.
  • Highly competitive remuneration, attractive bonus, and additional leave entitlements.
  • Private healthcare and gym allowances, plus wellness initiatives.
  • Fully stocked kitchen – daily breakfast and lunch.
  • Regular social, sporting, and community events.
  • Visa sponsorship and relocation package where required.
  • Explore our benefits and culture.

By applying to this role, you will be automatically considered for the Quantitative Researcher position. There is no need to apply to both positions in order to be considered for both.

About Susquehanna

Susquehanna is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking. Our rigorous and analytical approach to decision making has led Susquehanna to become one of the largest and most successful proprietary trading firms in the world. In our offices around the globe, our employees are relentless problem solvers who collaborate to make optimal decisions.

What we do

Susquehanna’s deep integration of trading, technology, and quant research makes us experts in trading essentially all listed financial products and asset classes, with a focus on derivatives. We handle millions of trading transactions around the world every day as both a market maker and market taker. Our efforts provide liquidity and ensure competitive prices for buyers and sellers.

Equal Opportunity statement

We encourage applications from candidates from all backgrounds, and we welcome requests for reasonable adjustments during the recruitment process to ensure that you can best demonstrate your abilities. If you have any questions, please contact sydneycampus@sig.com.

If you’re a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.