

Quantitative Lead Analyst with 10+ years of experience across tier-1 international banks and leading regional financial institutions. Proven expertise in Wholesale Credit Risk modelling (EBA, ICAAP), Global Treasury/Market Risk (VaR models), and financial analytics & reporting, gained through roles at Citi, State Street, and regional banking institutions. Strong background in Python-based quantitative development, regulatory impact assessment, automation, and scalable data pipelines. Recognized for translating complex financial and risk data into actionable insights for senior management and regulatory stakeholders
Work Authorization: Temporary Residence Permit in Poland; eligible to work without sponsorship (based on Polish diploma).
- Data analysis and numerical computing: pandas, numpy, scipy, pyarrow
- Statistical modeling and inference: statsmodels, scikit-learn
- Data visualization: matplotlib, seaborn, plotly
- Excel and Windows integration: openpyxl, xlwings, pywin32
- Automation and system scripting: os, sys, argparse, logging, json, selenium
- Data validation and code quality: pandera, typing
Data Science and Machine Learning Fundamentals - Corporate Finance Institute
Modelling Risk with Monte Carlo Simulation - Corporate Finance Institute