Data Scientist, Client Research
Berkeley
The Voleon Group
The Voleon Group is a family of companies committed to the development and deployment of cutting-edge technologies in investment management.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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Biostatistics CI/CD Computer Science Data analysis EDA Engineering Finance Git Linux Machine Learning Pandas Pipelines R Research SQL Statistics
Perks/benefits: Career development Competitive pay Health care Lunch / meals
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