We are a global leader in quantitative statistical arbitrage, specializing in developing cutting-edge machine learning models and data-driven strategies to identify and exploit market inefficiencies. With offices in the U.S., China, and India, our innovative team of researchers, technologists, and finance professionals pushes the boundaries of quantitative finance.
We are seeking a dynamic, detail-oriented Director of External Strategies (GAT) to join our team and lead efforts in sourcing, evaluating, and integrating signals from external individuals with promising quantitative investing strategies and alpha-generation ideas. This role offers the opportunity to engage with a diverse set of external partners, including quantitative portfolio managers, individual researchers, and other market experts, to identify innovative strategies that align with our style and are additive to our investment objectives.
Responsibilities
- Develop strategies to attract and identify high-quality external researchers and quantitative investors with novel alpha-generating strategies.
- Collaborate with the Research Management Team to evaluate promising external strategies through quantitative analysis and back-testing models.
- Negotiate terms of engagement with external managers, ensuring alignment with portfolio strategies and performance.
- Maintain relationships with quantitative communities, researchers, hedge funds, and portfolio managers to discover promising and obtainable investment ideas.
- Prepare detailed reports for senior management on external strategies and ensure evaluations align with governance and performance standards.
- Collaborate with internal teams to integrate external strategies into the firm’s portfolio, staying informed on trends in quantitative finance and data science.
- Master’s degree in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Computer Science, or a related field. A PhD is a plus.
- 5+ years of experience in evaluating quantitative alpha ideas, managers and strategies for consideration of capital allocation.
- Experience in sourcing and evaluating external investment ideas or collaborating with external partners in a similar capacity.
- Proven experience in quantitative analysis, investment research, or portfolio management with a strong understanding of quantitative investing strategies.
- Proficiency in programming languages such as Python, R, or MATLAB for quantitative analysis and modeling.
- Familiarity with data sources, tools, and platforms used for backtesting and performance evaluation of investment strategies.
- Competitive salary, plus bonus based on individual and company performance.
- Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets.
- PPO Health, dental and vision insurance premiums fully covered for you and your dependents.
- Pre-Tax Commuter Benefits – making your commute smoother.
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.
