Data Scientist, Trading Operations
Job Description
Voleon is a technology company that applies state-of-the-art machine-learning techniques to real-world problems in finance. For over 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 technology and finance professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.
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.
The Voleon Group has formed a new team to help advance our data-driven investment initiatives. As a Data Scientist, you will be responsible for harvesting insights from a complex array of data. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and executive leadership. This role is a means to make a difference: as a machine learning company, data insights are essential to our business.
As a Data Scientist in Trading Operations, you will be embedded in the Quantitative Trading Strategy team. The team focuses on domain-heavy technical work, such as tuning execution algorithms and optimizing portfolio financing. You will build, maintain, and analyze data pipelines to generate insight consumed by the whole team. You will work at the intersection of trading and research on problems requiring market domain expertise and statistical and quantitative rigor.