Python Developer - Global Research Modernization

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.

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.

Job Responsibilities

• Build, deploy, and maintain business processes using Python.
• Collaborate 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.
• Automate publication and analytics workflows for Research Analysts.
• 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.
• 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 hands-on experience in developing applications using Python.
• High level of proficiency in Python and relevant packages for data handling and manipulation. It is essential that the candidate has hands-on experience and in-depth knowledge of libraries like Pandas and NumPy.
• 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

• Understanding of libraries for web scraping, such as BeautifulSoup and Selenium, will be a plus.