We are looking for scientists, engineers, economists, and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets.

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 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

BS/MS/PhD degree in any stem field
Passion for machine learning and quantitative finance
Strong problem-solving skills
Ability to work effectively both as an individual and a team player
Fluent with programming languages like Python
Knowledge of financial accounting is a plus
Experience between 2 years to 15 years

Competitive compensation with bonus tied to the performance of algorithms you develop
Work in a collaborative and friendly environment, participate in decision-making process for research direction, and have opportunity to lead on new ideas

Quantitative Researcher

Job Description

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