Senior Software Engineer - Fixed Income and Derivatives Data Technologies
Bloomberg
Software Engineering
New Jersey, USA
Posted on Nov 7, 2025
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, data 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?
The Fixed Income and Derivatives Data Technologies Engineering group designs and builds high performance, low latency, distributed and scalable data processing pipelines to extract, transform and publish high quality financial reference data from external sources and into Bloomberg's ecosystem. We focus on building automated pipelines using cutting-edge AI solutions and we complement that with manual remediation workflow tools. As a member of our team, you'll gain hands-on experience in designing and building these systems, 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 Python, C++ or Java 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 (Python, C/C++, 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
- Proficient with database programming and data modeling
- Comfortable with user interface design and development
- 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:
- An interest in financial markets or a background in data analytics or financial engineering
- Experience with high volume, high availability distributed systems
- Experience working with Microservice architectural style
- Familiarity with data science and ML/NLP techniques to help with automation of data processing pipelines
- Familiarity with NoSQL Databases