Jak Linstaedt
Senior Associate Senior Data Lead @Bloomberg
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WORK HISTORY
Senior Associate Senior Data Lead @Bloomberg
Led development of a Transition Capex model covering power assets and financing records, estimating capex for companies through financed capacity (MW) and the levelized cost of electricity- Conducted greenium and yield-curve analysis for 10,600 green bonds using Python (BQuant/Jupyter) and Bloomberg Query Language (BQL)- Automated GFANZ Energy Supply Banking Ratio model via Bloomberg API, analyzing low-carbon vs fossil-fuel financing across bonds and loans and 1,100 underwriting banks- Integrated TRACT supply-chain data into revenue projections for companies across 8 climate scenarios (NGFS, BNEF)- Built and maintained an Oil & Gas Climate Transition Risk model and data platform comprising 24 datasets- Developed ETL pipelines supporting production databases and metadata for Power Purchase Agreements (PPAs)- Applied BICS classifications extensively to map industrial activities and allocate company revenues at granular sector and sub-sector levels- Leveraged advanced web-scraping techniques (BeautifulSoup4, Selenium, JavaScript) to source and normalize external datasets supporting climate and financial models- Delivered Python and SQL training to analysts 1-on-1, in groups and online.
EDUCATION
King's College London
MSc Climate Change: Environment, Science & Policy
Birkbeck, University of London
Graduate Diploma in Economics
La Trobe University
Bachelor of Paramedic Practice & Bachelor of Public Health Promotion
ABOUT JAK LINSTAEDT
Data scientist on a research team specializing in climate transition risk across equity and fixed-income markets. Strong experience in Python, SQL, ETL automation, and large-scale data processing. Brings a multidisciplinary background spanning IT, science, and healthcare, with a passion for technology. Opinions are my own.
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