Quantitative Researcher - Experienced Hires (USA)

Stamford, Connecticut, United States

Trexquant Investment

Trexquant is a quantitative finance firm that uses machine learning to create market-neutral equity portfolios and seek profit from the market.

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Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. We are looking for data scientists, physicists, engineers, economists and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets. 

Our Quantitative Researchers are embedded within the following teams:

Alpha Researcher:

As a member of the Alpha Researcher team, you will be involved in developing market-neutral signals, parsing and analyzing large data sets and collaborating with the Data and Strategy 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 Alpha and Strategy team to build predictive machine learning models.

Strategy Researcher:

As a member of the Strategy team, you will be developing systematic strategies based on a variety of machine learning and statistical methods. The data  you train and validate comes from actual market trading 

When you apply for a Quantitative Researcher role at Trexquant, we will first assess you on the core skills required for the Quantitative Researcher.  During the interview process, we will be able to get to know you better, learn about your strengths and match you to the best quantitative research team that closely aligns with your skills and preference.

Requirements

  • BS/MS/PhD degree in any stem field
  • 2+ years of experience of in quantitative research field
  • Passion for machine learning 
  • Fluent with programming languages like Python
  • Strong problem-solving skills
  • Ability to work effectively both as an individual and a team player
  • Knowledge of financial accounting is a plus
  • Background in quantitative finance is a plus but not necessary

Benefits

  • Competitive salary plus bonus based on individual and company performance
  • Collaborative, Casual, and friendly work environment
  • PPO Health, dental and vision insurance premiums fully covered for you and your dependents
  • Pre-tax commuter benefits
  • Weekly company meals

Trexquant is an Equal Opportunity Employer

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Research Jobs

Tags: Finance Machine Learning ML models PhD Python Research Statistics STEM

Perks/benefits: Career development Competitive pay Equity / stock options Health care Salary bonus

Region: North America
Country: United States

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