Data Scientist (Remote)
Verisart- Full Time
- Junior (1 to 2 years)
Candidates are required to have at least one year of applied end-to-end industry experience, including internships, working with complex datasets such as curation, querying, aggregation, exploratory data analysis, and visualization. Applicants must possess experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions, along with the ability to frame and answer questions mathematically. Fluency in managing, processing, and visualizing tabular data using SQL, Pandas, and R is also required, alongside basic software development skills including bash, Linux/Unix, and Git. A Bachelor’s degree in a quantitative discipline, such as statistics, biostatistics, data science, computer science, or a related field, is necessary.
As a Data Scientist, responsibilities include designing and implementing systems to ensure data correctness and monitor data health in data stores and live feeds, proactively identifying abnormal production behavior and communicating them clearly to stakeholders, performing extemporaneous analyses on research and production trading systems with leadership, harnessing financial expertise and statistical analysis to gain actionable insights into our production trading and research systems, and designing and implementing analysis pipelines that automate those analyses found to be valuable for ongoing monitoring.
Investment management using machine learning algorithms
Voleon focuses on investment management by utilizing machine learning to analyze financial market trends. The firm uses advanced statistical models to process large datasets and identify patterns that inform investment decisions, setting it apart from traditional methods that rely on human intuition. Voleon serves institutional clients and operates on a performance-based fee structure, aligning its interests with those of its clients. The company's goal is to provide data-driven insights that optimize investment returns while adapting to changing market conditions.