Quantitative Systematic Trader

3 weeks ago

Sydney, New South Wales, Australia Susquehanna Pacific Full time
Overview

We're seeking highly skilled professionals to join our team of quantitative researchers. As a Quantitative Systematic Trader, you will combine your analytical skills with trading expertise to develop and implement electronic strategies. Our collaborative environment fosters interdisciplinary knowledge and cooperative thinking, allowing you to thrive in a fast-paced environment.

Key Responsibilities

  • Investigate new ideas and concepts in market data, leveraging tools in mathematics, statistics, and programming.
  • Develop and implement trading strategies using our back testing environment and carefully analyze their performance.
  • Collaborate with technologists to put trading signals into production and actively monitor their real-time performance.
  • Participate in a comprehensive orientation program to bridge the gap between academia and industry.

Requirements

  • PhD in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics.
  • Solid analytical problem-solving skills and excellent logical reasoning.
  • Exceptional communication skills and experience writing code to process and analyze large sets of data, especially in Python.
  • Demonstrated interest in strategic games and/or competitive activities.

What We Offer

  • Market-leading education program with classroom theory, simulated learning, and a secondment to our Philadelphia office.
  • Non-hierarchical culture that allows employees to thrive and have an impact.
  • Highly competitive remuneration, attractive bonus, and additional leave entitlements.
  • Private healthcare and gym allowances, plus wellness initiatives.

Interview Process

Apply -> Online Assessments -> Recruiter Interview -> Technical Interview -> Final Round Interviews -> Job Offer

We encourage applications from candidates from all backgrounds and welcome requests for reasonable adjustments during the recruitment process.

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