
Data Analyst Innovator
16 hours ago
About the Role
As a Data Scientist intern, you will engage in cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to work on multiple mini-projects or take up a focused innovation-based research project. This project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology.
Key Responsibilities:
- Conduct 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 Python, Excel or R to analyze, visualize, and model financial data.
- Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.
Requirements:
- Strong problem-solving and analytical skills.
- Able to self-learn and work independently in a remote, flexible environment.
- Bachelor's degree in Computer Science, Mathematics, Statistics, Economics or related field.
- No prior coding skills are required, but having basic knowledge of Excel or Python or R script can help complete the projects quicker.
Internship Details
- Duration: Option of 1 month, 2 month, 3 month, 4 month or 6 months
- Timing: Self-paced.
- Type: Unpaid
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