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Engineers who find a new job through Blockchain Works average a 15% increase in salary 🚀
Make a meaningful impact on the blockchain revolution
Own your projects from conception to launch, set your deadlines and manage yourself
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Excellent benefits
To sum it up...
Data Engineering at a Hedgefund founded on Data Science principles
Role overview
Data Engineering position, building a decentralized AI that creates an intelligence unlike any seen before and applying that to fund management.
Requirements
Bachelor's or advanced degree in computer science, applied mathematics, or another technical discipline.
Build and operate data science platform.
Own end to end data workflows and gain deep domain experience on features represented in financial data.
Use statistical modeling with financial insights to incorporate new data sets and features.
Prepare data for use in forecasting, portfolio construction and risk analysis.
Build visualization and data analysis tools for all aspects of our operations.
Exceptional programming skills, financial experience is not a requirement.
Location
San Francisco, in northern California, is well known for being a tech haven. However, as one of the most visited cities in the world, it’s also a center of cultural and there’s a strong counter culture sensibility that’s always been an essential part of the city. San Francisco has one of the most prominent LGBT communities in the world, and is one of the most important in the history of LGBT rights and activism.
The economy of San Francisco is influenced by household tech companies such as Salesforce.com, Reddit, Dropbox, Airbnb, Yelp, Uber, Lyft, etc. The third quarter of 2017, saw $4.177 billion in funding for companies in San Francisco and the North Bay Area. An hour south of the city is “Silicon Valley” which homes Apple, Facebook, Google and Palantir.
Known for its year-round fog, iconic Golden Gate Bridge, cable cars and colorful Victorian houses. It’s also the home of the famous Alcatraz Island, site of the notorious former prisoner Al Capone.
Did you know...
The average salary for a Software Engineer in San Francisco is $134,000
Numerai manages an institutional grade long/short global equity strategy for the investors in our hedge fund. We transform and regularize financial data into machine learning problems for our global network of data scientists. Our data scientists don't need capital, data, or finance domain knowledge to compete on Numerai. Numerai investors provide the capital, and Numerai embeds our finance domain knowledge into the design of our datasets. Because Numerai data scientists do not know what our data represents, human biases and overfitting are overcome. Numerai does not know what algorithms our data scientists are using because data scientists only upload predictions—their code and intellectual property remains theirs. This trustless relationship between Numerai and our data scientists is facilitated by encryption, and anonymity. Data scientists do not need to tell us who they are, and receive payments in Ethereum.