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We’re looking for quant-minded strategists who value the power of interdisciplinary knowledge and cooperative thinking. Our Quantitative Systematic Traders combine the skills of quantitative research with the knowledge of trading to develop new electronic strategies and monitor real-time performance. As a true hybrid of our core disciplines, Quantitative Systematic Traders are constantly communicating and connecting ideas between trading, technology, and quantitative research.
Job Responsibility:
Investigate ideas by immersing yourself in market data, leveraging tools in mathematics, statistics, and programming
Discover new patterns that can transform into a trading signal
Run signals through backtesting environment and carefully analyze performance
Work side-by-side with technologists to put profitable signals into production
Actively monitor real-time performance of signals in the financial markets
Discuss with other researchers, strategists, and traders to collect feedback and brainstorm new ideas
Requirements:
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/or highly collaborative environment are essential
Experience writing code to process and analyze large sets of data, especially in Python
Ability to thrive in a fast-paced environment
Nice to have:
Experience in C++ or other low level programming languages is a plus
Demonstrated interest in strategic games and/or competitive activities
What we offer:
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