Michal Kasner
Ai Data Annotation Analyst @Bloomberg
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WORK HISTORY
Ai Data Annotation Analyst @Bloomberg
Labeled, structured, and maintained complex financial datasets to support AI/ML model development.• Ensured accuracy, consistency, and contextual integrity of financial data annotations across global projects.• Managed and prioritized annotation backlogs with focus on lower-tier companies and emerging markets.• Analyzed corporate disclosures, financial statements, and earnings announcements to enhance data quality.• Collaborated with Product, Engineering, and Data Science teams to strengthen AI initiatives and improve model training pipelines.• Conduct systematic testing of machine learning model outputs, validating results against source data and financial context to ensure accuracy and model integrity.
EDUCATION
Wroclaw University of Economics and Business
Bachelor's degree, Finance
Hult International Business School
Master's degree, Business Analytics
ABOUT MICHAL KASNER
Aspiring commodities and derivatives trader with hands-on experience across energy markets, M&A, and corporate treasury. Recently completed an MSc in Business Analytics in London, specialising in investment and transactional finance.I’m passionate about financial markets — particularly commodities (energy, metals, agricultural) and macro-driven strategies. I’ve actively traded FX and gold, and built option strategies using repo and reverse repo structures. My background includes M&A due diligence, IRS hedging research, and portfolio valuation modelling.Technically fluent in Excel (VBA), Bloomberg Terminal, SQL, and Python. Currently working at Bloomberg, enhancing AI-driven data workflows for the Terminal used by global traders and analysts.Now seeking junior roles in commodities trading, structured products, or derivatives — where I can grow, contribute, and perform in a high-pressure, high-impact environment.
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