About the role
Requirements:
- Bachelor's degree in Computer Science, Engineering or a related field.
- 4-9 years of experience working in Data science/Risk Analytics/Risk Management, with experience in building the models/Risk strategies or generating risk insights
- Proficiency in SQL and other analytical tools/scripting languages such as Python or R.
- Deep understanding of statistical concepts including descriptive analysis, experimental design and measurement, Bayesian statistics, confidence intervals, and probability distributions.
- Proficiency with statistical and data mining techniques.
- Proficiency with machine learning techniques such as decision tree learning, etc.
- Should have experience working with both structured and unstructured data.
- Fintech or Retail/ SME/LAP/Secured lending experience is preferred.