Transforming Financial Insights Specialist
7 days ago
You will have the opportunity to engage in cutting-edge projects involving financial data analysis and risk modelling. Our project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology.
Key Responsibilities- Conduct thorough data cleaning, wrangling, and pre-processing for financial datasets.
- Assist 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 large data sources including financial reports, macroeconomic datasets, and alternative investment data.
- Use programming languages like Python, Excel, or R to analyze, visualize, and model financial data.
- Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.
- Basic knowledge of Excel or Python or R script is beneficial but not mandatory. Students can upskill through self-learning.
- Strong problem-solving and analytical skills are essential.
- Able to self-learn and work independently in a flexible environment.
- Duration: Option of 1 month, 2 months, 3 months, 4 months or 6 months.
- Timing: Self-paced.
- Type: Unpaid internship.
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