The Bloomberg Structured Products team is responsible for all data, cash flows and analytics of the two million plus bonds that make up the structured products universe. Because of how large and sophisticated these securities are, we own some of the largest databases, run the highest hit services that return billions of points of data, and maintain the best libraries of cash flow models at Bloomberg.
There are a lot of Engineering jobs to choose from at Bloomberg, with teams focusing on specific technological stacks. The Structured Products department is looking to build up its team of Software Engineers who are primarily leveraging the Python programming ecosystem. Our mission is to make the Structured Product market as transparent as possible by acquiring, curating and publishing data in the most efficient ways. To achieve that we are constantly revisiting our technology and striving to adopt the most modern development and deployment practices. If you are passionate about how Software Engineering can leverage a language such as Python to maximize the impact of a single engineer on an entire segment of the financial markets, come and share your expertise with us!
Our organization uses Python to set up new data pipelines and new applications in record time. The dynamic nature of the language and its rich ecosystem of open-source libraries opens a whole world of possibilities where creativity is the sole limit. We use Python to power most of our stack, from the data extraction and processing stage all the way to analytics calculations. The ecosystem of libraries and services we have built with this language has pushed the limits of what our team has been able to accomplish.
If you're interested in being a part of the Structured Products organization, submit your resume here!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Job ID: 84489
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