
Data Science Analyst Opportunity
2 weeks ago
About the Role
As a Data Scientist, you will work on cutting-edge projects involving financial data analysis and modeling.
You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project.
The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology.
Responsibilities
- Data Analysis: Conduct data cleaning, wrangling, and pre-processing for financial datasets.
- Investment Support: Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis.
- Statistical Modeling: Apply statistical techniques to financial problems such as credit risk modeling, probability of default, and value-at-risk estimation.
- Big Data Sources: Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data.
- Data Tools: Use Python, Excel or R to analyze, visualize, and model financial data.
- Research Projects: Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.
Requirements
- Able to self-learn and work independently in a flexible environment.
- Strong problem-solving and analytical skills.
- No prior coding skills required; students can upskill (self-learning) to develop Data Science Solutions.
Benefits
- Gained experience in data science and its applications.
- Opportunity to work on real-world projects and contribute to the company's success.
- Professional development through continuous learning and skill-building.
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