Overview of Quant Researcher – Data Science Position:

• Research statistical techniques such as Machine Learning and NLP to extract value from data
• Analyze large data sets using advanced statistical methods to identify trading opportunities
• Help to develop tools to solve complex data related problems throughout the firm.

 Typical Day of Quant Researcher – Data Science:

• Primary focus throughout the day is on researching new techniques and exploring datasets
• Discuss and present research results with other researchers
• Deploy and monitor tools used in every day trading processes.

 Skill Set Required For Position: 

• Quantitative background – includes degrees in Computer Science, Mathematics, Statistics, Machine Learning and NLP
• Programming proficiency with at least one major programming or scripting language (e.g. Python)
• Strong communication skills and ability to work well with colleagues across multiple regions
• Ability to work well under pressure.