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Data Driven Trading Strategist

2 weeks ago

Sydney, New South Wales, Australia beBeeQuantitative Full time $120,000 - $150,000

We're seeking highly skilled quantitative professionals to join our team of traders.

Job Opportunity

Our Quantitative Systematic Traders combine cutting-edge research with trading expertise to develop innovative electronic strategies and monitor real-time performance. They excel as hybrids of our core disciplines, constantly communicating and connecting ideas between trading, technology, and quantitative research.

The Life Cycle of a Quant Project
  1. This idea can originate from anyone: you, your colleagues, or someone you meet in the office.
  2. As a Quantitative Systematic Trader, you will investigate that idea by diving into market data, leveraging tools in mathematics, statistics, and programming.
  3. Through your research, you may discover a new pattern that can transform into a profitable trading signal.
  4. To assess the strength of that trading signal, you will run it through our backtesting environment and carefully analyze its performance.
  5. If that signal produces successful results, you will work closely with technologists to put it into production.
  6. Once that signal is embedded in our electronic trading strategies, you will actively monitor its real-time performance in the financial markets.
  7. As your trading strategy evolves, you will discuss with other researchers, strategists, and traders to collect feedback and brainstorm new ideas.

We offer a comprehensive onboarding program designed to bridge the gap between academia and industry. Educational topics include an introduction to options pricing, exposure to our proprietary data sets, and opportunities to practice data analysis techniques. Beyond onboarding, our trading floor serves as a collaborative space for learning and development.

Required Skills
  • 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 fast-paced environments are essential
  • Experience writing code to process and analyze large datasets, especially in Python
  • Experience in C++ or other low-level programming languages is beneficial
  • Demonstrated interest in strategic games and/or competitive activities
  • Ability to thrive in dynamic environments