Quantitative Systematic Trader | Visa Sponsorship

Susquehanna International; Sydney; In loco; AUD 180.000 - 300.000; Tempo pieno

Vantaggi offerti da questo lavoro

Education program

Flat hierarchy

Competitive remuneration

Private healthcare

Gym allowances

Fully stocked kitchen

Descrizione del lavoro

Susquehanna International Group – Sydney NSW is seeking a PhD-qualified Quantitative Systematic Trader to blend quantitative research with trading expertise. You will analyze market data, backtest signals, and push successful ideas into production while monitoring live performance.

The role emphasizes interdisciplinary collaboration across trading, technology and quant research, with a comprehensive training program and growth opportunities in a fast-paced environment.

Competenze

• PhD in quantitative field (Math, Physics, Stats, CS, OR, or Economics).
• Strong analytical problem-solving and logical reasoning.
• Excellent communication in a fast-paced, highly collaborative environment.
• Experience writing Python to process and analyze large data sets.
• C++ or other low-level programming languages is a plus.
• Demonstrated interest in strategic games or competitive activities.

Mansioni

• Investigate ideas by analyzing market data and applying quantitative methods.
• Backtest trading signals in the firm's environment.
• Develop and productionize new electronic strategies.
• Monitor real-time performance and discuss feedback with researchers.
• Collaborate with trading, technology, and quantitative research teams.

Conoscenze

Analytical problem solving

Logical reasoning

Communication

Python coding

Fast-paced collaboration

Strategic games interest

Formazione

PhD in quantitative field

Strumenti

Python

C++

Descrizione del lavoro

Susquehanna International Group – Sydney NSW is seeking a PhD-qualified Quantitative Systematic Trader to blend quantitative research with trading expertise. You will analyze market data, backtest signals, and push successful ideas into production while monitoring live performance.

The role emphasizes interdisciplinary collaboration across trading, technology and quant research, with a comprehensive training program and growth opportunities in a fast-paced environment.