Systematic Quant Researcher

Trading Strategy Developer

Our client is a systematic asset management company utilizing cutting edge technology, data and people seeking to generate exceptional risk adjusted returns for their investment partners. Their team consists of a range of employees from enthusiastic entry level to tenured experts across a variety of disciplines including finance, academia, technology, data and operations from around the world. They are a tight-knit team that strives for exceptionalism.

You will be responsible for developing trading strategies, from idea generation and data collection to analysis and model creation. Designing and running experiments to test hypotheses about the market and/or specific trading signals while applying quantitative techniques and market intuition to large datasets. You will be advancing existing initiatives and pursuing new, previously unexplored research topics. You get to develop systematic strategies which exploit statistically-based predictive signals associated with various market inefficiencies and perform analyses on historical trading to improve profitability. You are not required to have industry knowledge and we welcome candidates from Academia and/or the Technology sector.

Candidates should meet the following requirements:

• MS or PhD in a quantitative field and/or scientific discipline such as Mathematics, Physics, Computer Science, Machine Learning, or Electrical Engineering from a top university
• Experience working with large data sets
• Intermediate programming skills (C, or C++, Matlab, R, python)
• Exceptional knowledge of mathematical and statistical methods
• Ability to solve complex problems
• Ability to work independently and as part of a team in an open and collaborative environment.

Excellent comp package for the right candidate is offered.