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Quant Blueprint LLC in Berkeley, California is looking for a Quantitative Trading Strategist Lead to improve systematic trading strategies through deep market knowledge and quantitative skills. You will oversee a team working on algorithmic execution and portfolio financing across various markets.
The role involves collaboration with the Head of Trading to tackle complex problems, enhancing trading effectiveness. The company offers competitive compensation, benefits, and a stimulating environment.
Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.
Your colleagues will include internationally recognized experts in machine learning research as well as highly experienced finance and technology professionals. You will be working with strategies that are at the forefront of machine learning and statistical trading. The strategies have been carefully designed to generate non-correlated returns. Our firm and its strategies are the product of many years of meticulous research and craftsmanship, and you will lead the way in bringing them to investors.
In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.
As a Quantitative Trading Strategist Lead, you will use deep markets knowledge alongside quantitative skills to lead a team tasked with improving the implementation of systematic trading strategies. Domains include improving algorithmic execution, securities lending, and portfolio financing across a variety of asset classes and markets. You will report to the Head of Trading, and work at the intersection of trading and research on problems that require market domain expertise but also statistical and quantitative rigor.