Quantitative Researcher - Early Career (USA)
At a glance
Mid-level Data Science role at Trexquant Investment. New York · full-time · $120,000–$180,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and refine machine-learning models that use financial data and trading signals to forecast liquid assets
- Prepare datasets for future alpha research and investigate new data sources where relevant to your research team
- Apply current academic work in quantitative finance, then test research ideas through simulations
- Run experiments with quantitative researchers to evaluate hypotheses and predictive strategies
What you bring
- A bachelor's or master's degree in a STEM discipline
- Fluency in programming languages such as Python and a strong interest in machine learning
- Strong problem-solving ability and the ability to contribute independently and with a team
Who this fits
This early-career role suits someone interested in quantitative research, with team placement matched to your skills and preferences. The position is on-site in New York City.
From the employer
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 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 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
Requirements
- BS/ MS 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 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 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
Applications are open for both Stamford and New York City offices.
The base salary for this role is $120,000 to $180,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.
Trexquant is an Equal Opportunity Employer
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