Konstantinos Pittas

• Leading a data makeover project at a well-known Swiss re-insurance company, where the team has grown from 4 to 9 members.
• Handling sales activities in Greece and Switzerland, with a knack for Data Governance, Data Quality, and driving data revamps.
• Contributing to a strategic move to set up a Palantir Foundry Center of Excellence (CoE) team in Athens, Greece, to serve clients worldwide.

• Pioneered data transformation initiative at a well known Swiss re-insurance company, driving it forward from the strategic D ONE perspective.
• Conceptualised and executed a robust Data Quality Framework, strategically implemented across diverse Business Domains within the same Swiss re-insurance company.
• Led the transformation initiative of the Data Governance department at a leading Belgian insurance company, directly reporting to the Head of the Department.
• Engineered a compelling Proof of Concept (PoC) for a next-best-product algorithm, significantly contributing to the advancement of a sophisticated recommendation system at a major Belgian insurance company.

Technologies used: Palantir Foundry, Microsoft SQL, Python, Power Bi

• Leading the transformation of the credit approval process for a major Greek Bank. The newly adopted process increased the speed of approval for the Small Business Loans portfolio.

• Development and validation of Loss Given Default models for Mortgage, Consumer and Small Business portfolios for a major Irish Bank; Indicative activities: Single factor analysis, Multi factor analysis, Final model selection, facility grade calibration, downturn identification, downturn adjustment.
• Leading the quantitative aspects of UK banking audit engagements (international teams from Europe and India). Communicating the outcomes with top managerial internal/external stakeholders)

• Over 1 year experience in International Projects (London/Edinburgh)
• Credit Risk Model Development and Validation
• IRB Regulatory Compliance
• Stress Testing Models
• IFRS9 Regulatory Compliance & Model Development
• Quantitative support on various audit engagements

Technologies used: SAS, R, Python, Microsoft SQL