Data Scientist for Quantitative Trading

4 days ago


Chicago, Illinois, United States Durlston Partners Full time

Durlston Partners seeks a highly skilled Algorithm Engineer to join its Systematic Prop Trading business. This individual will be part of the Quant Research team, responsible for analyzing data, building models and signals for alpha generation, and managing risk.

The ideal candidate will have expertise in developing software solutions that leverage sophisticated statistical techniques and technologies to answer complex questions in finance. Key responsibilities include:

  • Collaborating closely with Quants, Traders, and Developers to research, develop, and test execution and trading models;
  • Enhancing and building a research infrastructure that can handle hundreds of thousands of tick-level signals;
  • BUILDING A COMPREHENSIVE, MULTI-MARKET TRADING SYSTEM TO CAPITALIZE ON RELATIVE VALUE AND STATISTICAL ARBITRAGE OPPORTUNITIES.

This position requires excellent C++ skills, strong Python skills, and the ability to write and deploy code in a production environment where performance matters. A Computer Science degree from a top 20 university is also required.

The compensation package includes an estimated salary of $625k, which is negotiable. If your experience doesn't fit all the requirements, we encourage you to apply anyway.



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