Ferdinantos Kottas

Served as Senior Risk Analyst and Data Analytics Instructor, recognized as Best Employee in 2025. Developed credit risk scorecards and models for multiple markets.

Conducted fundamental, technical, and quantitative analysis of equities and cryptocurrencies. Prepared investment research reports and market commentary.

Conducted research in financial mathematics and computation, contributing to projects on asset pricing and risk analysis.

Served as Research Fellow and Teaching Assistant, supporting academic research and teaching activities in finance and econometrics.

Developed credit risk scorecards and models for various loan portfolios, covering the full modeling lifecycle and regulatory requirements.

Conducted financial and economic research using quantitative and econometric analysis. Produced research reports and analytical summaries.

Conducted economic research for Africa, Asia, LATAM and other countries using global databases. Applied statistical techniques in R and created the FSI index.

Provided computer lab assistance and support to students and faculty.

Analyzed and predicted exposure of mortgage loans and debit card portfolios for Non-Performing Loans. Generated risk assessment reports and presented findings to senior leadership.

Grade: Distinction

M.B.A. in Techno-economics systems with Distinction, major in Technology management.

Grade: Distinction

M.Sc. in Accounting & Finance with major in Finance and minor in Accounting. Thesis: 'Determine the factors of business investment in euro area countries' with Distinction.

Completed the Fundamentals of Reinforcement Learning course.

Grade: Distinction

M.Sc. in Data and Web Science with Distinction. Thesis: 'Portfolio Management Application based on Ranking and Reinforcement Learning'.

Azure Data Scientist Associate certification.

Professional Data Analyst Certificate.

Blockchain Developer certification.

B.Sc. (Hons) in Applied Mathematics with triple major: Statistics & Operation Research, Computational Mathematics, and Teaching Mathematics.

Independent course: Introduction to Digital Currencies.

IBM Data Science Professional Certificate.

Completed Training in Helex: Institutional Stock course.

Completed Referencing and Research Resources with Effective Literature Searching course.

Completed Digital Marketing & Social Strategy course.

M.Phil. in Economics with dual major in Quantitative methods and Economics Science.

Completed Machine Learning with Matlab course.

Completed courses in The Audit, Fraud Detection and Prevention, and Risk Management.

Completed Signal Processing with Matlab course.

Nanodegree in Programming for Data Science with Python.

Completed courses in Accounting Fundamentals, Bloomberg Essentials, Excel Crash, Reading Financial Statements, and ESG.

Completed Bayesian Statistics: From Concept to Data Analysis and Innovations in Investment Technology: AI courses.

Nanodegree in Predictive Analytics for Business.

Completed the Neural Networks and Deep Learning course.

Completed the Quantitative Analyst with R and Python course.

Visiting PhD Student/Researcher in Finance at the Smurfit Business School.

Grade: Distinction

M.Sc. in Business Analytics & Data Science with Distinction. Thesis: 'P.M. & Allocation Strategies: DRL vs. Traditional approach'.

Ph.D. in Empirical Finance & Financial Econometrics, with research collaboration with UCD. Research areas include asset pricing, portfolio and risk management, financial econometrics, and ML & AI in finance.

Exchange student in the Department of Computer Science and Engineering.

Grade: Distinction

M.Sc. in Applied Mathematics with Distinction.