The Data Strats team is looking for highly-capable Python coders who can develop, automate, and scale data processes to support the creation of Analyst models and differentiated Research reports. The individual will be responsible for building recurring data processes in Python (Pandas) and working to implement technologies in order to improve Analyst efficiency. This role is a blend of data analysis and data engineering.
Responsibilities
Work with Research Analysts to develop, institute, and maintain automated data processes
Acquire, clean, maintain, and analyze data sets to support Analyst models
Work with technologists to enhance data infrastructure for ETL & automation
Create scalable Python libraries for department-wide use
Qualifications
Qualifications
Bachelor's degree in computer science, information systems, or information technology, engineering, or related fields
Experience cleaning data using the Pandas and NumPy Python packages
Experience setting up ETL infrastructure
Strong quality-control ethic, including experience deploying QA methods
Experience with Linux/UNIX & Git
Experience with data quality & investigating data anomalies
Experience with building visualization platforms is a plus (e.g. Plotly (Dash) and/or Java)
Experience with R, MATLAB, Q, SQL is a plus
Exceptional organizational skills and attention to detail
Excellent interpersonal and communication skills
Working knowledge of financial data
Education: Any Graduate
Industry: Financial Services/Stockbroking
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