Our core product, The Bloomberg Terminal, is used by 400,000 financial professionals around the world. It's continuously being developed and improved by about 6,000 engineers that are experts in their field. The Fixed Income and Derivatives Engineering team produces applications and tools that enable our clients to generate trade ideas, structure deals, connect to electronic trading platforms, capture market movements, and assess portfolio risk for a variety of financial instruments across fixed income and derivatives asset classes.
Our group also develops sophisticated solutions for ever-evolving financial markets. We work directly with product managers, financial engineers, and quantitative analysts to understand client and market needs.
What’s in it for you?
Private Direct Lending is one of the fastest growing sectors of the financial markets. With the recent significant increase in Private Direct Lending, Bloomberg is focused on building best-in-class solutions for client workflows in Private Markets.
As a member of the newly formed Private Markets team, you’ll design and deliver greenfield solutions that help institutional clients manage the full lifecycle of private credit instruments—from origination through reporting and analytics. You’ll use modern, high-performance technologies including C++, Python, Java, and distributed computing frameworks to build scalable structuring and analytics platforms from the ground up. This is a unique opportunity to shape Bloomberg’s foundation in an evolving asset class and contribute to a key growth area for the business. Join us to build the next generation of private market technology powering global finance.
We seek passionate engineers who thrive in a diverse, collaborative environment and excel at crafting reusable, efficient solutions to complex problems. Proficiency in object-oriented programming languages like C++, Python, or TypeScript is greatly desired, with a willingness to learn new technologies. You will implement full-stack solutions, adhering to industry best practices for software development, testing, automation, and CI/CD.
You'll need to have:
- Demonstrated experience building enterprise applications with an object-oriented programming language (C/C++, Python, Java, etc.)
- A degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
- Proficiency in system design, architecture, and development of high-quality, modular, stable, and scalable software
- Experience with mentoring and coaching other engineers to help build a high performance team
- Passion for leading discussions, sharing innovative ideas, and promoting best practices within the team
We'd love to see:
- An interest in financial markets or a background in data analytics or financial engineering
- Experience with high-volume, high-availability distributed systems
- A passion for adapting to evolving client and project demands
