PRANNAV CHAWLA

Barclays is a leading global financial services provider, offering a wide range of investment banking, wealth management, and corporate banking services.

Role:

• Risk Model Implementation: Collaborated with globally distributed teams to implement fully automated, optimized, and tested quantitative risk models, including regulatory capital, IFRS9 impairment, and stress testing, within an in-house Python framework.
• Model Upgrades and Performance Optimization: Upgraded models to leverage the latest libraries and run on faster platforms, reducing backtesting time from 1.5 hours to just 20 minutes per run. Simplified the data model for this suite, enhancing efficiency, and adding support for various internal tools.
• Python Development Expertise: Played a key role in designing and developing a graph-based, distributed simulation framework, enabling firm-wide execution of large-scale financial models.
• Graduate Training Leadership: Delivered structured Python training programs for graduate cohorts over two consecutive years, improving technical skills, and onboarding efficiency.

• Company Overview: CloudSphere provides a platform that simplifies cloud migration, management, and governance for enterprises and service providers.
• Role: Explored cost governance strategies for Microsoft’s CSP model, contributing to platform optimization. Tech stack included Eclipse, the Spring framework, MySQL, and Spring Data JPA.