Unlock Your Data Science Potential
2 days ago
About the RoleAs a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling.We provide problem statements, methodology and after you submit your solution to develop the solutions/models, we also showcase to you sample solutions. You can use our sample solutions to modify your project submissions and expand further based on suggestions given in our sample solutions. You can opt for your own research-based data science solution to develop/model.Main ResponsibilitiesConduct data cleaning, wrangling, and pre-processing for financial datasets.Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis.Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation.Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data.Use either one – Python, Excel or R to analyze, visualize, and model financial data.Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.Key SkillsStrong problem-solving and analytical skills.Able to self-learn and work independently in a remote, flexible environment.Internship DetailsDuration: Option of 1 month, 2 months, 3 months, 4 months or 6 monthsTiming: Self-paced.Type: Unpaid.The experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. This role offers the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The key focus areas include financial data analysis, investment research, and risk modelling. We encourage students to upskill (self-learning) to develop data science solutions. Basic knowledge of Excel, Python or R script can help complete the projects quicker. Participants are allowed to use Large Language Models (LLMs)/ Natural Language Processing (NLP) tools to assist in developing their solutions.
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