Job Description

Finance and Python fundamentals you need to make data-driven financial decisions. Data types, lists, arrays, and the time value of money, before discovering how to work with time series data to evaluate index performance. As you learn to import and manage financial data from different sources, including Excel files and from the web. Hands-on exercises will reinforce your new skills, as you work with real-world data, including NASDAQ stock data, AMEX, investment portfolios, and data from the S&P 100. Navigate the world of finance using Python—with investment portfolios, calculate measures of risk, and calculate an optimal portfolio based on risk and return.   Finance & Business Analytics Trainee Responsibilities:

• Week 1 & 2: Series of Guided Projects (Training Period)
• Week 3 : Project Assigned
• Week 4: Project Report to be submitted Finance & Business Analytics Trainee Requirements:
• Bachelor’s degree holder or pursuing.
• Proficiency with computers, especially MS Office.
• High level of accountability and motivation.
• Strong Interpersonal, time and project management, presentation, leadership, and communication skills.
• Creativity and ability to delegate responsibilities.
• Receptiveness to feedback and adaptability.
• Willingness to meet deadlines.