Sr. Associate Data Scientist
1 week ago
Roles and Responsibilities :
- Monitor Portfolio quality trends /Early Warning triggers for Retail Finance / Consumer lending products
- Design Guardrails for each product and monitor them for sensing & sending Early Warning Alerts
- Perform Portfolio deep-dive to identify emerging trends; contribute towards improving portfolio quality and
- reducing non-performing loans
- Monitor Macro/Micro/High Frequency indicators; keep a close monitoring on movement of these
- indicators and perform impact assessment.
- Analysis and visualization of risk factors using database and analytics tool like Python/SAS, SQL, Power BI, Excel
- Credit Loss Forecasting for the Retail Finance products to pre-empt emanating stress build-up
- Develop & maintain Stress Testing Framework - perform Stochastic Stress Testing using Regression, Vasicek, CIR models
- Query large data sets to draw insights from loan portfolio data to detect early warning indicators
- Extensive data mining to monitor the changes in trends, outlook and review the portfolio quality and performance
- Perform portfolio analytics – Vintage, Water-fall, Through the door analysis etc.
Job Requirements :
- 5-10 years of experience in a similar role within the financial services industry.
- Strong proficiency in Python programming language with expertise in libraries such as NumPy, Pandas, Matplotlib.
- Experience working with relational databases like SQL Server or PostgreSQL; knowledge of big data technologies.
- B-Tech / M-Tech (preferable in Data Science / Statistics)
- Ability to work comfortably in interacting closely with senior management including Statutory Auditors, Internal Auditors
- Must possess an impressive executive demeanour, a team oriented and collaborative approach, and excellent presentation skills, including strong oral and written capabilities.
- The individual must possess and demonstrate high integrity and credibility as perceived by all those with whom he/she will work.
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