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Fixed Income Intern in Atlanta, GA at Genesys Talent LLC

Date Posted: 2/28/2019

Job Snapshot

Job Description

We have an immediate need for a Fixed Income Intern in Atlanta, GA (30309).  This is a 7-month contract position paying $20-$24/hour depending on experience.  Candidates need to be currently pursuing a degree in Computer Science, Engineering, Mathematics, Information Systems, or a related field, and any experience with Python or R programming is a plus.  The work schedule will be flexible around your school schedule, and could be part-time up to full-time hours, if desired (and could be full-time during the summer and other school breaks).  This is a great 'foot in the door' opportunity for those looking to build their career in data analytics and the investment world!  Job Description:
  • This position provides broad support to the fixed income research and trading team. 
  • This will entail a unique role working with portfolio managers and traders to help build out a database of high frequency data. 
  • The role will have additional duties related to further develop our fixed income trading analytics.
  • Work with others to create a database of high frequency indicators
  • Develops advanced analytics on the high frequency indicators to
  • Assists in furthering development of our trading investment process

Work Experience / Knowledge:
  • Knowledge of the basic principles of data analysis
  • Experience with databases. Python and R programming language a plus.
  • Experience in working with high frequency data

Skills / Other Personal Attributes Required:
  • Strong programming skills
  • Strong ability to communicate with internal and external parties.
  • Creative thinker with ability to communicate technical concepts into visual media.
  • Ability to prioritize work, meet deadlines, and concentrate on details in a fast-paced work environment.
  • The ability to collaborate effectively in a team environment is critical.

Formal Education Required:
  • Must be pursuing a degree (Bachelor's or higher) in Computer Science, Engineering, Mathematics, Information Systems, or related field.