Responsibilities:
- Risk & Portfolio Analysis: Slice/dice portfolio performance into factors
- Identify, analyze, and interpret trends or patterns in financial datasets
- Data Prep: Identify and utilize existing as well as new data sources; Undertake preprocessing of structured and unstructured data; Carry out bespoke data analysis
- AI/ML: Build predictive models and machine-learning algorithms
- Present information using data visualization techniques
Requirements:
- Few years' experience in data analytics/AI
- Good understanding of machine-learning and operations research
- Proficient in Python
- Strong analytical skills; attention to detail
- B.Tech. (CS/EE) or Bachelor's in Mathematics & Computing
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