Trexquant actively trades multiple asset classes, including global equities, futures, corporate bonds, options, and foreign exchange. Data is at the core of everything we do and we are looking for individuals who are passionate about working with data and are curious about how it is transformed into robust and profitable predictive models. As a data scientist, you will specialize in one of these asset classes, becoming the go-to expert for all data-related matters within that domain. This is a unique opportunity to lead the data efforts for a specific asset class and make a direct impact on the firm’s trading strategies.
Responsibilities
- Collaborate closely with strategy and machine learning teams to identify predictive signals and help develop models using relevant data variables.
- Evaluate and explore new datasets recommended by researchers and partners.
- Develop deep familiarity with datasets in your asset class by engaging with data vendors and attending data conferences.
- Stay up to date with advancements in data science and machine learning techniques relevant to quantitative investing.
Requirements
- Bachelor’s, Master’s, or Ph.D. in Mathematics, Statistics, Computer Science, or a related STEM field.
- Experience in data science, with a focus on quantitative analysis and model development.
- Strong quantitative and analytical skills, with a deep understanding of statistical modeling and data-driven problem solving.
- Proficient in Python, with experience using relevant libraries for data analysis, machine learning, and numerical computing.
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
Top Skills
What We Do
Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.
