: Senior Software Engineer - Electronic Trading
731 Lexington Ave
New York, NY 10022

Employee Testimonials

Bloomberg Testimonial
Bloomberg Testimonial


We are the engineering team behind the world's largest over-the-counter (OTC) electronic trading (ET) platforms encompassing Fixed Income, Currencies, Commodities, Derivatives and Equities. Our products offer end-to-end trading workflows including price discovery, real-time analytics/pricing, execution and straight through processing (STP), and are fully integrated with the Bloomberg terminal and enterprise solutions.

Our platforms have been at the heart of recent market structure changes, driven by trade automation and regulation. Clients are actively looking to cut costs by switching to more automated and efficient ways of trading, and regulators are pushing for more transparency and systemic controls to prevent another financial crisis. This is an exciting time for us as we embark on projects that cater to these needs and leave a lasting impact on financial trading markets.

Stability, availability, low-latency and flexibility are important elements of a successful trading platform, and we strive to build software with these principles in mind. As Engineers, we work on highly transactional, multi-threaded and distributed services with an emphasis on proven development practices. We constantly evaluate new technologies to ensure creative solutions. We take pride in our product and partner closely with business and sales teams to influence product design.

What's in it for you:

  • An opportunity to work on a complete tech stack to deliver client facing products
  • Using industry standard technologies to build high performance systems
  • Work in a highly collaborative environment where teamwork is the key to success
  • An opportunity to learn how the financial markets operate by working closely with product managers and clients

You'll need to have:

  • 5+ years of experience programming in C++ or any other OO language
  • Self-motivated and proactive attitude to problem solving
  • Ability to work in a fast paced environment using agile methodologies
  • BA, BS, MS, PhD in Computer Science, Engineering or related technology field

We'd love to see:

  • Recent programming experience in JavaScript or Python
  • Experience with multi-threading and asynchronous event-driven programming
  • Experience with high volume, high availability distributed systems
  • Experience working in a UNIX or Linux development environment
  • Familiarity with scripting languages such as Python, and developer productivity tools such as Jenkins and Splunk.

If this sounds like you:

Apply if you think we're a good match! We'll get in touch with you to let you know what the next steps are.

In the meantime, check us out athttp://www.techatbloomberg.com/
Bloomberg is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [email protected].


Employee Testimonials

Bloomberg Testimonial

I’ve been at Bloomberg for almost 5 years now and throughout my time in Analytics, I learned an immense amount about the Customer Service industry. Particularly, how clients interact with client service representatives and through technological means. It also connected me to many different departments throughout the organization, and that knowledge and network has helped me drive results involving multiple stakeholders.

Bloomberg Testimonial

I get uncomfortable if I start feeling too comfortable at work. Luckily there is no shortage of exciting challenges here.

Bloomberg Testimonial

I really enjoy working on stories that allow me to collaborate with other Bloomberg reporters to reveal deep insights on the largest operators in the credit space.