Key Responsibilities:

Design, develop, test, and deploy data solutions across the Firm

Partner with Research and other IT teams to define priorities and deliver custom solutions

Maintain and support data infrastructure and analysis operations

Skillset Requirements:

A deep passion for working with data and developing software to address data processing challenges

Proficiency with multiple data RDBMS platforms (MS SQL Server, MySQL, PostgreSQL)

A keen interest in building and maintaining large-scale, error-free data sets

Bachelor’s degree in computer Science or equivalent experience

Proficiency within one or more programming languages including Python (Numpy/pandas), R, C++ or JavaScript

Ability to make use of and maintain in-house database infrastructure and data flow control systems built in Python and Perl

Ability to continuously adapt to new languages and technologies as our technology infrastructure evolves

Outstanding coding, debugging, and analytical skills

Strong written and verbal communications skills

Also a plus:

Previous experience with RDBMS administration

Proficiency with NoSQL, Spark, Hadoop  

Experience with some of the following areas: Distributed Computing, Cloud Platform Development, Networking, and/or REST Service Development

An interest in quantitative finance (no finance / trading experience required) 

Pasadena, CA, États-Unis Pasadena CA US