As a Data Analyst, you will be part of a team responsible for owning and simplifying the flow of data used by production trading algorithms at Voleon. The primary responsibility of our team is to ensure continuous operation of production-critical systems by leveraging an on-call rotation. When not taking part in this rotation, your work will focus on improvements to our data-consumption pipelines. Such improvements include the curation and onboarding of datasets for consumption and leveraging data analytics to inform updates to the softwares which form the back-end of these pipelines. This role is a means to make a difference: as a machine learning company, data is essential to our business.
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Responsibilities
- Share an on-call rotation; act as first responder ensuring the health and continuous operation of production-critical systems.
- Perform manual steps and develop automated processes to ensure the completeness and integrity of massive amounts of mission critical financial data pertaining to stocks, bonds, futures, commodities, and more
- Partner with Members of Research Staff to curate and onboard new and existing datasets
- Help drive continuous improvements to data quality procedures and a consistent approach to how data quality is measured, monitored, and reported in our production environments.
- Design systematic and automated processes and tools that allow for scaling and reliability of data-consumption pipelines
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Requirements
- Coursework or other relevant training in data analytics, programming, or computing systems
- Proven problem-solving and analytical abilities including pattern detection, root cause analysis, and issue resolution
- Experience with Python, pandas, and an interest in programming and data analysis
- Experience with SQL and working with a relational database system
- A degree in a technical field
Preferred Qualifications
- Relevant experience in data operations, with proven process improvement skills
- An understanding of the software development process and exposure to hands-on coding in a professional environment
- Experience in exploratory data analysis and applied statistics
- Experience interacting with Linux kernels
- While financial industry experience is a plus, we are open-minded in our search for critical thinkers who are passionate about technology and data