Software Engineer - Visual Analytics Applications (Consultant)

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New York, NY

Posted Oct 4, 2017 - Requisition No. 62464

The Sell-Side Execution and Order Management System (SSEOMS) team builds an an end-to-end solution to manage equity broker/dealers' trading workflow. We are coming off a major re-architecting of the system and we're now at the cutting edge of technology at Bloomberg, using all the latest innovations to meet low-latency/high-throughput demands of our clients. Our product offerings range from real-time front-office applications and core servers to surveillance, analytics and reporting tasks.

This year we are aggressively expanding our product across global markets by working in partnership with flagship clients to take SSEOMS to the next level. We're developing a firm wide business intelligence interface that will allow users to craft out custom analytical queries, create and share real-time dashboards as well as set alerts on threshold breaches and detect outliers. This interface will also enable fast search and custom data navigation across diverse sources.

SSEOMS is at the action center of equity markets, and we're looking for strong engineers who have a passion for learning new technologies and financial concepts, and appreciate the excitement of integrating them together. On our team, you will be working in a high-paced and dynamic environment, developing scalable, high-performance applications. If you're a motivated, energetic, and tenacious developer with strong communication and problem solving skills, we want to talk to you.

You'll need to have:

  • 3+ years of experience with JavaScript and C/ C++
  • Familiarity with Apache Solr/Lucene
  • Strong knowledge and understanding of data structures, object oriented design and systems / applications programming
  • Strong problem solving skills

We'd love to see:

  • Experience with business intelligence, reporting, and analytics
  • Experience with Machine Learning techniques
  • Good communication, presentation and collaboration skills
  • Ability to work independently or as part of a team, including leading projects
  • Performance tuning and optimization
  • Proven analytical, problem solving, time management and organizational skills
  • Interest in the financial markets

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