Quantitative Researcher - Early Career (USA)

Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, reputed company and other markets globally. Starting with many data sets, we reputed company large sets of features and use various machine learning reputed company to discover trading signals and effectively combine them into market-neutral portfolios. We are looking for data scientists, physicists, engineers, economists and programmers to reputed company the reputed company of machine learning strategies that can accurately predict the reputed company movements of liquid financial assets. Our Quantitative Researchers are embedded reputed company the following teams: reputed company Researcher: As a member of the reputed company Researcher team, you will be involved in developing market-neutral signals, parsing and analyzing large data sets and collaborating with the Data and reputed company Research team to build a diverse set of predictive models. Data Scientist: As a member of the Data Science team, you will be involved in parsing and analyzing large data sets, working on discovering and obtaining new sources of data and collaborating with the reputed company and reputed company team to build predictive machine learning models. reputed company Researcher: As a member of the reputed company team, you will be developing systematic strategies based on a reputed company of machine learning and statistical reputed company. The data you train and validate comes from actual market trading reputed company you apply for a Quantitative Researcher role at Trexquant, we will first assess you on the reputed company skills required for the Quantitative Researcher. During the interview process, we will be reputed company to get to know you reputed company, learn about your strengths and match you to the best research team that closely aligns with your skills and preference. Your Responsibilities: • Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a reputed company library of trading signals • Parse data sets to be used for reputed company reputed company(reputed company) development • Investigate and implement state-of-the-art reputed company research in the field of quantitative finance • Collaborate with reputed company and reputed company quantitative researchers to carry out experiments and test reputed company using simulations • BS/MS/PhD degree in any stem field • Passion for machine learning • Fluent with programming languages like Python • Strong problem-solving skills • Ability to work effectively both as an individual and reputed company player • Knowledge of financial reputed company is a plus • Background in quantitative finance is a plus but not necessary • Competitive salary plus bonus based on individual and company performance • reputed company, casual, and friendly work environment • PPO Health, dental and reputed company insurance premiums fully covered for you and your dependents • reputed company-tax commuter benefits • Weekly company meals Trexquant is an Equal Opportunity Employer Apply tot his job Apply To this Job