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Data Scientist, Client Research
The Voleon GroupUnited Statesfull_timeVerifiedPosted 23 Apr 2024
About the role
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 technology and finance professionals. The people who shape our company come from other backgrounds, too, including concert music performance, 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 is forming 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.
The Voleon Group is forming 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.
Responsibilities
- Create narratives and translate portfolio risk and performance data into insights for clients
- Design and implement models to analyze risk, performance, and market data
- Develop visualization and dashboards
- This roles helps empower the organization to deliver clearer performance insights to clients
- Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing analysis and monitoring
Requirements
- 1+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization
- Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions
- Ability to communicate the analysis with narrative using data, charts, and graphs
- Ability to frame and answer questions mathematically
- Ability to infer useful forward-looking directions from results of retrospective analysis
- Fluency in managing, processing, and visualizing tabular data using a combination of SQL, Pandas, and R
- Basic software development skills and experience with bash, linux/unix, and git
- Ability to refine requirements from ambiguous requests to produce reports demonstrating excellence in communication
- Bachelor’s degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field)
Preferred
- Master’s degree in a quantitative discipline
- Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships
- Experience developing in a production-facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, git, Airflow
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