What will I be doing?
You’ll be active over the entirety of the alpha generation process, potentially everything from starting with creating a forecasting model and ending with trading.
What will I be learning?
You’ll learn about quantitative trading in general, including forecasting model development, trade execution, portfolio selection, risk management, and transaction cost analysis. You will also learn the business and technology sides of quantitative trading. You’ll continue to improve your existing quantitative skills while adding new ones. We are interested in machine learning, optimization, and statistical modeling, so you may have the opportunity to add these to your skillset.
How is this different from Quantitative Strategy Analyst?
Both positions require strong quantitative and computer skills. The Quantitative Strategy Analyst is primarily active in the first phase of the process: starting with data and creating a forecasting model. The Quantitative Researcher may be involved in the entirety of the process, from creating a forecasting model and ending with trading.
The Quantitative Researcher may also optimize existing trading strategies.
This position requires a PhD or equivalent experience.
What are the unique advantages of this opportunity?
You’ll be developing multiple modeling and quantitative skills and the business-side capabilities to multiply their value. You may be able to add more value per unit of your quantitative ability than in a purely quantitative role.
There is quicker, more accurate feedback about the quality of your work from the impact on the bottom line than in most positions.
What are the unique challenges of this opportunity?
To get trading strategies to work and to scale, you’ll need to be willing to add real-world skills to your existing quantitative base.
This position is not suitable for the person who wants an exclusive focus on alpha forecasting models. It also requires advanced academic training, programming skill, and research experience.