Summary
Overview
Work History
Education
Skills
Languages
Training
Hobbies and Interests
Timeline
Generic
Sebastian Gębala

Sebastian Gębala

Warsaw

Summary

Experienced Python Developer with a strong background in the financial sector. Skilled in developing applications for both Back-End and Front-End, as well as working with databases, particularly in banking activities and supervision. Proficient in Python 3.x, with expertise in Django, SQL, machine learning, NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, SciPy, and Plotly. Additionally, possesses a strong command of Flask, FastAPI, Docker, Git, CSS, HTML, SAS, GitBook, and is well-versed in Ubuntu, VS Code, and RHEL. Also has basic experience with JavaScript.

Overview

13
13
years of professional experience

Work History

Python Developer

Société Générale
11.2024 - Current
  • I am responsible for designing and maintaining internal banking applications focused on RWA (Risk-Weighted Assets) and NBI (Net Banking Income), primarily for the bank's management
  • My daily work involves building and refining Back-End solutions in Python (Django) on a Windows environment, ensuring seamless data processing and storage in PostgreSQL
  • I have implemented APIs that efficiently integrate data across various internal systems, aiding in the bank's risk and financial reporting

Senior Python Developer

Ason AG
08.2023 - 11.2025
  • As the Lead Developer, my primary responsibility involves the development and oversight of a system designed to aggregate and harmonize taxation and personal data from Switzerland's tax system (PayRoll)
  • This system adeptly handles diverse data sources and formats, including .xml, .xlsx, ., .csv, .pdf, .doc, and .docx, transforming them into a unified format

Python Developer

Polish Financial Supervision Authority
11.2019 - 07.2023
  • Bozon and Eurobozon: I served as the main developer and author of these programs. They were designed for the collection, aggregation, and presentation of supervisors' alerts across 70+ jurisdictions. The primary goal was to conduct in-depth analysis and provide APIs for financial institutions and supervisors
  • I utilized Python 3, Django, Django Rest Framework, Spark and SQL
  • These projects aimed to consolidate alerts issued by financial supervisions into a centralized hub for the supervision of financial markets, all while offering APIs to financial market players
  • Building Microservices: I was responsible for the creation of microservices, such as the internal BION system and control system for investment firms
  • These microservices focused on aggregating and harmonizing internal data from various sources and formats (e.g., .xml, .xlsx, ., .csv, .pdf, .doc, .docx) to create a user-friendly interface and API
  • The technologies employed included Python 3, FastAPI, Django, Django Rest Framework, Spark, Flask, RHEL and SQL
  • Report Generation: I have experience in creating reports that communicate findings from the analysis. Jupyter Notebook was the primary platform used for this purpose

Python Data Scientist

Ministry of Finance (Polish Delegate)
11.2014 - 11.2019
  • I have actively participated in international resolution colleges, focused on preparing and validating resolution plans designed by financial institutions such as SEB, Banco Comercial Português, and Volkswagen Bank
  • I have worked as an expert for the Single Resolution Board, contributing to the establishment of an orderly resolution process for troubled banks
  • This involves safeguarding the interests of taxpayers while implementing various resolution tools
  • My involvement with the Financial Stability Committee has been dedicated to the maintenance of financial stability and monitoring the financial health of market players
  • I provide analyses related to the effectiveness of employing resolution tools, such as the sale of business, bridge institutions, asset separation, and bail-ins
  • Additionally, I assess their potential impact on financial stability and banking guarantee schemes

Data Scientist

Ministry of Finance
02.2013 - 11.2014
  • Developing programs for the analysis of information related to the gambling markets in European Union Member States and EFTA Member States

Education

Postgraduate Studies - Academy of Analytics with SAS, R and Python

Warsaw School of Economics
Warsaw
01.2019

Master of Arts - Computer Science

University of Wroclaw
01.2011

Skills

  • Python3
  • Django
  • Numpy
  • Pandas
  • Matplotlib
  • Seaborn
  • Sklearn
  • Scipy
  • Beautifulsoup
  • Selenium
  • PDFplumber
  • PyTest
  • SAS
  • R
  • SQL
  • JavaScript
  • CSS
  • HTML
  • Bootstrap
  • JQuery
  • DBeaver
  • Bruno
  • Pre-commit
  • Spark
  • Databricks
  • Ubuntu
  • Git
  • MangoDB
  • Flask
  • FastAPI
  • GitBook
  • VS Code
  • Tmux
  • Uvicorn
  • Jupyter
  • Docker

Languages

English
Advanced (C1)
French
Beginner (A1)
Polish
Bilingual or Proficient (C2)

Training

2013 - 2025, World Bank / International Monetary Fund (Vienna), Financial Stability Policy of Central Banks: Recent Trends, Interactions with other Policies, and Key Challenges, Legal Aspects of International Financial Institutions, Advanced Course on Financial Stability Stress Testing for Banking Systems, Macro-Financial Stability in Central, Eastern and Southeastern Europe

Hobbies and Interests

  • Homebrewing
  • Mexico
  • Travels
  • Acoustic guitar

Timeline

Python Developer

Société Générale
11.2024 - Current

Senior Python Developer

Ason AG
08.2023 - 11.2025

Python Developer

Polish Financial Supervision Authority
11.2019 - 07.2023

Python Data Scientist

Ministry of Finance (Polish Delegate)
11.2014 - 11.2019

Data Scientist

Ministry of Finance
02.2013 - 11.2014

Postgraduate Studies - Academy of Analytics with SAS, R and Python

Warsaw School of Economics

Master of Arts - Computer Science

University of Wroclaw

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