Data Scientist for Quantitative Trading Strategies

2 weeks ago


Sydney, New South Wales, Australia Susquehanna Pacific Full time

Overview

Susquehanna Pacific is a leading global quantitative trading firm that combines sophisticated coding techniques with innovative engineering ideas to design and optimize systems processing massive amounts of data. We're looking for a highly skilled Data Scientist to join our team and contribute to developing and deploying automated trading strategies.

About the Role

  • This position involves working closely with traders, quants, and software developers in a highly integrated multi-disciplinary team to develop, test, deploy, and monitor proprietary systems trading across multiple markets and financial products.
  • You will be responsible for building models for asset price prediction at high and medium frequencies, prototype implementations of both the model and resulting trading strategy, and communicating clearly with the team.

Key Requirements

  • M.S./Ph.D. in Computer Science/Statistics/Math or equivalent experience.
  • Several years' experience in financial markets and ability to recognize/understand trading opportunities.
  • Able to work well in a team environment and produce studies for peer review.
  • Experience in modeling (familiar with Statistical/Data Analysis/Machine learning techniques).
  • Comfortable programming C++ and Python in a Linux environment.
  • Able to develop prototype strategies in large existing C++ code base.
  • Experience with Big Data.

What We Offer

  • An estimated salary range of $120,000 - $200,000 per year, depending on experience.
  • The opportunity to work with a highly experienced team and contribute to the development of cutting-edge technologies.
  • A collaborative and dynamic work environment with a focus on innovation and problem-solving.

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