Trexquant is looking for quantitative researchers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets using thousands of statistical algorithms.
Requirements
- Fluent with programming languages like Python
- Passion for machine learning
- Knowledge of financial accounting is a plus
- Background in quantitative finance is a plus but not necessary
Responsibilities
- Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a vast library of trading signals
- Parse data sets to be used for future alpha(strategy) development
- Investigate and implement state-of-the-art academic research in the field of quantitative finance
- Collaborate with experienced and resourceful quantitative researchers to carry out experiments and test hypothesis using simulations
- developing market-neutral signals
- parsing and analyzing large data sets
- discovering and obtaining new sources of data
Other
- BS/MS/PhD degree in any stem field
- Strong problem-solving skills
- Ability to work effectively both as an individual and a team player
