Bloomberg is the global leader in financial data and analytics. 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 and hedge portfolio risk for a variety of financial instruments across fixed income and derivatives asset classes.

While building innovative technology is at the core of what we do, 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. We use cutting edge big data technologies, distributed computing, functional programming and machine learning to build software solutions that help us implement complex financial and quantitative models to facilitate pricing and analytics in real-time.

What’s in it for you?
As a member of the Fixed Income and Derivatives Engineering team, you'll contribute to a high-performance financial software system that handles billions of calculations per day. You'll gain hands-on experience in data analytics, distributed algorithms, and performance optimized code, all while gaining an advanced knowledge of financial instruments and markets. 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 also have the opportunity to leverage open-source tools like Apache Kafka, Spark, Cassandra and Redis (plus many more!) to design, develop, and implement full-stack solutions, adhering to industry best practices for software development, testing, automation, and CI/CD.

You'll need to have:

• 4+ years working 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

• Passion for leading discussions, sharing innovative ideas, and promoting best practices within the team

• Proficient in adapting project execution to meet evolving demands
  
  

We'd love to see:

• Experience with other programming languages such as Javascript, Scala, and OCaml

• An interest in financial markets or a background in data analytics or financial engineering

• Experience with high volume, high availability distributed systems