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. Our Senior Fundamental Alpha Research team is a small collaborative team working to create new alphas.
You will focus on identifying and developing systematic, market-neutral trading signals based on your understanding of fundamental data, accounting, and financial analysis. You will collaborate with the Data and Strategy team to build a diverse set of predictive models.
Key Responsibilities
- Leveraging fundamental data to formulate predictive, market-neutral signals
- Designing, implementing, and optimizing various machine learning models to parse data sets for fundamental alpha development
- Collaborating with experienced and resourceful quantitative researchers to carry out experiments and test hypothesis using simulations
- Optimizing models using domain-specific data to enhance relevance and interpretability in a financial context
- Working with large-scale structured and unstructured data sets to develop robust feature pipelines for downstream use in alpha research
Requirements
- BS/MS/PhD in any STEM field, finance, accounting, or related discipline
- Interest in applying fundamental analysis in a systematic, model-driven context
- Knowledge of financial accounting and company fundamentals (CFA or CPA 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.
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.
