
Data Science Fellow
2 weeks ago
About This Opportunity
We are offering a unique chance to work on cutting-edge projects involving financial data analysis, investment research, and risk modelling.
Key Responsibilities
- Clean, wrangle, and preprocess large datasets for analysis.
- Assist investment teams with equity research, fixed income research, portfolio management, and economic analysis.
- Apply statistical techniques to solve complex financial problems like credit risk modelling, probability of default, and value-at-risk estimation.
- Analyze big data sources including financial reports, macroeconomic datasets, and alternative investment data.
- Use Python, Excel, or R to analyze, visualize, and model financial data.
- Contribute to research projects related to quantitative trading, financial derivatives, and portfolio optimization.
Who Should Apply?
- Students can develop valuable skills through self-learning and the use of machine learning models.
- Strong problem-solving and analytical skills are required.
- Able to work independently in a remote environment.
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