Python Data Developer - Web Scraping / Quantitative Research - Asset Management Firm. The
Quantitative Research team at a leading asset management are improving the data feeds into their
credit investment business and have a fantastic opportunity for a Python Data Developer specialising in web scraping to enhance the data sources to which the research team have access.
As a Python Data Developer you will be responsible for building new data feeds, web scrapers and feed monitors to aggregate data into the credit research business, utilising Python and/or R. This will entail creating data feed batches across both structured and unstructured data, as well as data storage and maintenance and data analytics. This is an Agile environment where you will also work on other ad hoc projects and a have the opportunity to progress into a pure data scientist or quant role through demonstrating the value of the sources of data you provide to the investment process.
4+ years Python experience within commercial, preferably global markets, environments
Extensive experience building data feeds, web scrapers and feed monitors for data aggregation
Expert knowledge of web scraping libraries for Python and database design
Solid understanding of financial instruments, preferably fixed income / credit products
Strong Excel/VBA and ideally experience with R, Shiny, Plotly and/or machine learning techniques
Postgraduate degree in a quantities or engineering discipline or equivalent
This is a £650-£750/day initial six month contract based London.