Daniel Bracki

I’m a data-driven QA and model validation assistant who focuses on independent validation for credit/market risk models. I bring strong experience with risk assessment, backtesting, and sensitivity analysis, with a practical, governance-minded approach.

At Citi, I perform independent model validation for credit/market risk models, developing validation scripts and reproducible analysis in Python and VBA. I also build automated tests and document model limitations, propose remediation actions, and present findings to Compliance teams.

I use Jupyter and Excel to prepare interactive reports and dashboards for stakeholders, and I collaborate with model owners to implement validation recommendations and track fixes. I’ve also designed and migrated a centralized database for a 40-user team in two weeks to standardize workflows and improve reporting speed and reliability.

What motivates me is attention to QA and data analysis detail—especially data quality and data validation. I’ve identified data weakness that led to remediation and helped reduce validation exceptions by 20%, while reinforcing model governance and validation discipline.