About the job
Trexquant is a dynamic systematic hedge fund leveraging advanced statistical algorithms to trade equities, futures, and various global markets. Our approach begins with extensive datasets, from which we create comprehensive feature sets and employ diverse machine learning techniques to identify trading signals, culminating in the formulation of market-neutral portfolios. We are on the lookout for innovative data scientists, physicists, engineers, economists, and programmers eager to contribute to the development of cutting-edge machine learning strategies that predict the movements of liquid financial assets with precision.
The role of a Quantitative Researcher at Trexquant offers opportunities across several specialized teams:
Alpha Researcher:
Join the Alpha Researcher team to design and implement market-neutral signals, analyze large datasets, and collaborate with the Data and Strategy Research teams to create a diverse array of predictive models.
Data Scientist:
As part of the Data Science team, you will work on data parsing and analysis, sourcing new datasets, and teaming up with the Alpha and Strategy teams to build predictive machine learning models.
Strategy Researcher:
In the Strategy team, you will engage in the development of systematic strategies utilizing various machine learning and statistical methodologies, training and validating data derived from actual market trading.
Upon applying for the Quantitative Researcher position at Trexquant, you will first be evaluated on the fundamental skills necessary for the role. Our interview process is designed to help us understand your strengths better and match you with a research team that aligns with your skills and preferences.
Your Responsibilities:
- Design and optimize machine learning models aimed at predicting liquid asset movements using extensive financial datasets and a rich library of trading signals.
- Analyze data sets for future alpha development.
- Explore and implement cutting-edge academic research in quantitative finance.
- Collaborate with skilled quantitative researchers to conduct experiments and validate hypotheses through simulations.
Requirements:
- BS/MS/PhD in a STEM field.
- Enthusiasm for machine learning.
- Proficiency in programming languages such as Python.
- Exceptional problem-solving abilities.
- Ability to function effectively both independently and as part of a team.
- Knowledge of financial accounting is advantageous.
- A background in quantitative finance is beneficial but not a prerequisite.
Benefits:
- Competitive salary plus bonuses based on individual and company performance.
