Quantitative Finance professional with a Ph.D. in Applied Mathematics specializing in credit risk modeling, statistical learning, and scalable analytics solutions.
Currently developing regulatory and portfolio risk models for consumer lending portfolios, with experience spanning model development, validation, governance, and deployment within CCAR, CECL, and Basel frameworks.
- Credit Risk Modeling
- Statistical Learning
- Machine Learning
- Model Risk Management (MRM)
- Consumer Lending Analytics
- CECL & CCAR Frameworks
- Basel Regulatory Modeling
- Forecasting & Time Series Analysis
- Data Engineering
- Distributed Computing
- Applied Mathematics
- Explainable AI
- MLOps & Model Monitoring
- Generative AI for Risk Analytics
- Production Machine Learning Systems
I'm always happy to exchange ideas, collaborate on interesting projects, and learn from others in the community.
Whether you're interested in quantitative finance, credit risk modeling, machine learning, data engineering, applied mathematics, or open-source development, feel free to reach out. I enjoy engaging with professionals, researchers, and developers who are passionate about solving complex problems through data, analytics, and technology.
🌐 Website:https://rajanpuri.com
💼 LinkedIn:https://linkedin.com/in/rajanpuri
🐙 GitHub:https://github.com/purirajan
Bridging mathematics, data science, and engineering to solve complex financial risk problems.