Global Research: Python Developer

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.

We are seeking a dynamic and energetic individual with strong Python development experience to join our Research Modernization team. 

Job Summary

As a Python developer within our team, you will bring your dynamic energy, strong attention to detail, and ability to multitask to our Research Modernization team within Global Research. In this role, you will have the opportunity to be highly organized, proactive, and flexible. Your keen attention to detail, strong communication skills, and sense of urgency will be highly valued.

Job Responsibilities

• Build, deploy, and maintain business processes and web crawlers using Python.
• Work with Research Analysts to understand their data needs and translate their requirements into data/information solutions.
• Utilize Python for data handling and manipulation to prepare and transform data into a usable format for Research Analysts.
• Create, productionize, and store enhanced and original datasets; improve data analysis and discovery tools; model the data with a focus on ease of storage, retrieval, and usability.
• Develop scripts and tools to automate repetitive tasks, improve efficiency, and streamline workflows.
• Monitor and troubleshoot process performance and reliability issues in a timely manner.
• Identify opportunities for process improvement and develop policies for data access and governance.
• Ensure data quality and integrity through effective validation and testing processes.
• Automate publication and analytics workflows for Research Analysts.
• Research and analyze datasets using a variety of analytical techniques in Python.

Required qualifications, capabilities, and skills

• Bachelor’s degree in engineering, computer science, information technology, or other data science/analytics fields.
• Minimum 1 year of experience in data analysis, automation, and web crawling using Python.
• Strong knowledge of Python and relevant packages for data handling and manipulation. It is essential that the candidate has hands-on experience in Python programming and in-depth knowledge of libraries like Pandas and NumPy.
• Understanding of essential libraries for web scraping, such as BeautifulSoup and Selenium.
• Strong background in data structures, algorithms, and data engineering, with experience in multiple data/technology platforms.
• Strong analytical and problem-solving skills.
• Excellent communication, presentation, interpersonal, and organizational skills.
• Detail-oriented, with a highly disciplined approach to processes and controls.

Preferred qualifications, capabilities, and skills

• Demonstrable interest in finance and research.