Python Developer

An exciting opportunity awaits you in a small yet strategically vital Modernization team within the Global Research business. This team is part of Corporate and Investment Banking Global Research and is dedicated to delivering innovative digital products, experiences, and solutions to both internal and external clients. These offerings enhance the curation and consumption of our Global Research product across diverse client channels. The Research Modernization team is committed to identifying new opportunities and spearheading execution and change throughout the organization. **Role Overview:** As a Python Developer within the Research Modernization team, you will bring dynamic energy, strong attention to detail, and the ability to multitask. 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. **Key Responsibilities:** - Building, deploying, and maintaining business processes using Python - Collaborating with Research Analysts to understand their data needs and translating their requirements into data/information solutions - Utilizing Python for data handling and manipulation to prepare and transform data into a usable format for Research Analysts - Creating, productionizing, and storing enhanced and original datasets - Improving data analysis and discovery tools - Modeling the data with a focus on ease of storage, retrieval, and usability - Developing scripts and tools to automate repetitive tasks, improve efficiency, and streamline workflows - Automating publication and analytics workflows for Research Analysts - Monitoring and troubleshooting process performance and reliability issues - Identifying opportunities for process improvement - Ensuring data quality and integrity through effective validation and testing processes - Researching and analyzing datasets using a variety of analytical techniques in Python **Qualifications Required:** - Bachelor's degree in engineering, computer science, information technology, or other data science/analytics fields - Minimum of 1 year of hands-on experience in developing applications using Python - High level of proficiency in Python and relevant packages for data handling and manipulation - Hands-on experience and in-depth knowledge of libraries like Pandas and NumPy - Strong background in data structures, algorithms, and data engineering - 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 Understanding libraries for web scraping, such as BeautifulSoup and Selenium, will be a plus.,