The Opportunity
Quandl is a data platform used by over 400,000 people, including thousands of analysts from the world\xe2\x80\x99s top hedge funds, asset managers and investment banks. Professionals use Quandl for our rich suite of databases and unrivaled data consumption experience.
A key part of our offering is \xe2\x80\x9cAlternative Data\xe2\x80\x9d: obscure, rare or esoteric datasets from unusual or untapped sources that are not widely used by Wall Street firms. Examples include intercompany transaction and supply chain data, sentiment measures derived from natural language processing, tracking of vehicles via GPS transponders, satellite monitoring of industrial facilities, footfall and geolocation data, and consumer insights gleaned from anonymized credit card transactions.
These datasets are often considered \xe2\x80\x9calternative\xe2\x80\x9d because they do not fall in the traditional categories of data used by the financial industry: stock prices, company fundamentals, options and futures, and so forth. Their importance in the financial markets is increasing rapidly as hedge funds and active asset managers are eager for data that offers predictive insights about the performance of individual companies, sectors, and the economy as a whole.
As the world\xe2\x80\x99s leading provider of Alternative Data, we deliver innovative products that power some of the most successful firms on Wall Street. We welcome you to join us in our journey, as we continue to redefine the investment landscape.
The Role
Quandl is currently seeking Quantitative Researchers to join our Alternative Data team. Multiple positions are available at an Intermediate to Senior level. You will evaluate new data sources and use them to create new alternative data products that provide quantitatively measurable market insights. Specifically, you will:
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