Quantitative Researcher • Mid-Level

Who you are

You have 3–5 years of experience in quantitative research, particularly in developing systematic trading strategies. Your background includes a strong foundation in machine learning and statistical methods, which you have applied to real-world trading scenarios. You are comfortable working with large datasets and have experience in integrating new data sources into existing research frameworks. You thrive in collaborative environments, working closely with traders and other quantitative analysts to drive impactful trading decisions.

Your expertise in non-linear signal modeling allows you to design innovative frameworks that improve upon traditional linear approaches. You understand the importance of regime-aware models and can adapt your strategies based on varying market conditions. You are detail-oriented and analytical, with a passion for leveraging technology to enhance trading performance. You are also open-minded and curious, always seeking to learn and improve your methodologies.

Desirable

Experience with programming languages such as Python is a plus, as it will enable you to implement your models effectively. Familiarity with financial markets and trading strategies will help you understand the context in which your research will be applied. You are eager to contribute to a team that values integrity, innovation, and a willingness to challenge consensus.

What you'll do

In this role, you will focus on developing and improving systematic trading signals using machine learning techniques. You will design non-linear signal combination frameworks that enhance existing linear and mean-variance approaches. Your work will involve building regime-aware models that adapt to different market states, ensuring that your strategies remain effective under varying conditions.

You will collaborate closely with traders and other quantitative researchers, taking ownership of your projects and directly impacting live trading. Your insights will help shape trading strategies and improve overall performance. You will also be responsible for integrating new data sources into existing research and risk systems, ensuring that your models are informed by the most relevant and up-to-date information.

Your role will require you to stay current with advancements in machine learning and quantitative research, applying new techniques and methodologies to enhance your work. You will participate in team discussions, sharing your findings and collaborating on projects that drive the firm's trading strategies forward.

What we offer

At DRW, you will be part of a diverse trading firm that values autonomy and innovation. We offer a competitive salary and benefits package, including health insurance and retirement plans. You will have the opportunity to work in a dynamic environment where your contributions are recognized and valued. We encourage you to apply even if your experience doesn't match every requirement, as we believe in fostering a culture of growth and development.