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Alen joined the EconLab team in 2019. Among other consulting services, he is currently focusing on the development of IRB models and stress testing models (ICAAP, IFRS9, EBA). Before joining the EconLab team, Alen worked in the banking and consulting industries in the fields of risk management, finance, and organization. His work in the banking industry was focused on the areas of credit risk, model development, machine learning modelling, and process optimization. His quantitative analytical work often requires the use of tools such as Python and R, but he is also experienced in strategic, financial and process management consulting for start-ups. Alen holds a Master’s in Money and Finance from the Faculty of Economics, University of Ljubljana. His thesis was on the topic of ETFs and stock markets, but during his studies, he focused on financial and econometric modelling, risk management, asset pricing, and deep learning methods. Alen’s main tool of choice is Python, but in addition to that, he is also proficient in other tools such as SAS, R, MATLAB, VBA and SQL.
Development of stress testing models (EBA); including the calculation of transition matrices and IFRS9 impairments. Forecasting and back-casting of key stress testing parameters. PD & LGD modelling, ECL benchmarking, and stage transition methodology.
Validation of credit rating models for Slovenian banks. Data representativeness analysis in Python and R.
Investment strategy planning and support. Successful establishment of a start-up group entity Developer of a group-wide financial model. Development of KPIs for start-ups (project consultant).
Development of ML extreme rare event classification models in Python and related automated monitoring tools. Process optimization for a Slovenian bank. Development of process-oriented monitoring tools.