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You'll report directly to the co-founder/Chief Risk Officer. You will assist in the implementation of scalable infrastructures for analyzing large real-time datasets. Furthermore, you will be involved in the effort to deploy interfaces between Ruby on Rails and a back-end service that generates predictions using trained statistical models.


? Bachelor's Degree in engineering, computer science, mathematics, statistics, finance or other programming related fields from a top tier school

? Must possess basic knowledge in DB and SQL programming

? Must possess basic knowledge in web and application programming (Ruby, HTML, JavaScript, CSS)

? Must be familiar with Object-Oriented Design (OOD) concept

? Ability to identify non-obvious solutions to complex problems

? Programming ability using R, Matlab, Python or other statistical software

? Preferably has a basic understanding in statistics, machine learning modeling techniques

? Preferably is familiar with the concept of test-driven development and code review

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