Description

Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity and futures markets globally. Starting with many data sets, we develop a large set of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. 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

Requirements
Graduate degree (Bachelors, Masters, or PhD) in any STEM discipline from a prestigious institution
Passion for machine learning and quantitative finance
Robust problem-solving skills
Ability to work effectively both as an individual and a team player
Proficient in programming languages such as Python
Previous experience in alpha research and the development of trading signals and strategies
Experience between 1 years to 10 years

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

Trexquant is an Equal Opportunity Employer

📌 Quantitative Researcher India Gurugram
🏢 Leading
📍 India