Summary
Overview
Work History
Education
Skills
Websites
Languages
Courses
Hobbies
Timeline
Generic

Maximilian Branting

Warsaw,14

Summary

Proactive and goal-oriented professional with excellent time management and problem-solving skills. Known for reliability and adaptability, with swift capacity to learn and apply new skills. Committed to leveraging these qualities to drive team success and contribute to organizational growth.

Overview

3
3
years of professional experience

Work History

Associate, Treasury - Modelling & Forecasting Solutions

Standard Chartered Bank
12.2023 - Current
  • Served as Model Developer and Manager for a regulatory liquidity model covering approximately $160 billion in client balances. Responsibilities included implementing code changes, running parameter simulations, maintaining technical documentation, and supporting model methodology analysis and monitoring.
  • Collaborated with independent validation, model risk governance, and data engineering teams throughout the model lifecycle. Streamlined business-as-usual processes through automation.
  • Developed standalone executable applications with graphical user interfaces (Python, PyInstaller) to support internal business processes, such as tracking employee lifecycle events and automating data updates.
  • Led the development of an Economic Value of Equity (EVE) calculator alongside two junior team members, enabling self-service calculations for multiple stakeholders and reducing team dependency for routine analysis.

Junior Data Scientist, Treasury - M&FS

Standard Chartered Bank
01.2023 - 11.2023
  • Analyzed large time series datasets using Python and SQL to identify trends and insights.
  • Optimized model codes in python reducing runtimes between 40 and 99%
  • Developed data extraction pipelines to support predictive analytics and improve decision-making processes.
  • Supported team members with efficient resolution of programming-related problems across multiple languages (Python, R, SQL).

Intern - Data Analytics

E.ON
10.2022 - 12.2022

Assisted Lead Data Scientist in developing analytics solutions:
• Designed and implemented an open-source Python-based OCR tool to process customer PDF forms, collaborating with IT and business stakeholders to define requirements.
• Developed BERT-based sentiment and topic classification models for analyzing customer satisfaction feedback using AWS SageMaker. Results were visualized through interactive Tableau dashboards.

  • Analyzed problems and worked with teams to develop solutions.

Education

Master - Big Data Science

Kozminski University
Warsaw
01.2023

Bachelor - Finance and Accounting

Kozminski University
Warsaw
01.2021

Skills

  • Data Analysis & Modeling
  • Statistics & Machine Learning
  • Programming Languages: Python, R, SQL
  • Natural Language Processing (NLP): Sentiment Analysis, Topic Modeling, BERT
  • Data Engineering: ETL/ELT Pipeline Design, Data Cleaning, Data Transformation
  • Automation & Scripting: Workflow Automation, Business Process Automation
  • Software Development: Python GUI Development, Standalone Executables (PyInstaller)
  • Cloud Platforms: AWS (SageMaker)
  • Visualization Tools: Tableau, Microsoft Power BI

Languages

Polish
Bilingual or Proficient (C2)
English
Bilingual or Proficient (C2)
Swedish
Upper intermediate (B2)

Courses

  • Data Scientist with Python, Data Camp January 2023
  • Bloomberg Market Concepts

Hobbies

Enthusiastic to spend free time on outdoor and indoor activities like climbing, golf and sailing.

Timeline

Associate, Treasury - Modelling & Forecasting Solutions

Standard Chartered Bank
12.2023 - Current

Junior Data Scientist, Treasury - M&FS

Standard Chartered Bank
01.2023 - 11.2023

Intern - Data Analytics

E.ON
10.2022 - 12.2022

Master - Big Data Science

Kozminski University

Bachelor - Finance and Accounting

Kozminski University
Maximilian Branting