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A New York based hedge fund is looking for Data Science Candidates (PhD) to work on data curation projects that will be part of a team that will turn large data sets of structured, semi-structured and unstructured data into unified data for analysis and equity investment insights. Prior Experience in the financial markets is not required.
Aid with data curation, data clean up and the buildout of models that will enable the team to identify data driven investment signals
Manage data throughout its lifecycle to ensure that the data can be retrievable for future use
Monitor and Mitigate Information for redundancy and transparency
Help with the process of curating, cleaning and integrating data to enable scalability of analysis
Creatively source, aggregate and analyze massive amounts of data
Use Machine Learning applications on unstructured data to extract investment insights
Use Business Intelligence applications to identify investment signals and trends
Use Statistical Analysis and Modeling to identify interesting investment opportunities
Must have an advanced quantitative degree (PhD) strongly preferred
Must have strong computer science skills
Must have strong statistical programming experience
Must have experience working with large data sets and metadata
Must have experience working on data curation projects-turning structured and unstructured data into unified data for analysis and insights
Programming languages preferred (Apache Spark, R, Matlab, Pandas)
Must be able to have creative analytical skills to identify investment signal and trends
Must be able to work in a collegial but time sensitive investment environment
Keywords: Data Curation, Pandas, Apache Spark, R, Machine Learning, Business Intelligence, Text Mining, Data Scientist, Web Scraping, NoSQL, Parsing, Python, Scripting, Data Analyst, MapReduce, Hadoop, Java
Please refer to Job 22908 - and send MS Word attached resume to email@example.com