Position Overview

• Research statistical techniques such as time-series methods, machine learning and NLP to extract value from data
• Analyze large data sets using advanced statistical and ML methods to identify trading opportunities
• Help to develop statistical and ML based tools and techniques to solve complex data related problems throughout the firm.

Typical Day

• Primary focus throughout the day is on researching new statistical and ML techniques and exploring datasets
• Discuss and present research results with other researchers
• Deploy and monitor models used to generate trading signals.

Required Qualifications

• Quantitative background - includes advanced degrees in computer science, machine learning / NLP, statistics, signal processing, optimization, mathematics and related STEM subjects (masters or higher)
• Demonstrated ability for doing high quality and rigorous research, along with communicating results to stakeholders.
• Programming proficiency with at least one major programming or scripting language (e.g. python, kdb-q, )
• Strong communication skills and ability to work well with colleagues across multiple regions
• Ability to work well in collaborative and high pace settings, and drive projects to completion in accelerated timelines.