Senior Software Engineer - Fixed Income & DerivativesLocation: LondonBusiness Area: Engineering and CTORef #: 10041190Description & Requirements Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to capital markets. The Fixed Income and Derivatives Engineering team produces world-class 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.
If you want to know about the requirements for this role, read on for all the relevant information.
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 derivatives 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 maintainable, 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:
Experience working with an object-oriented programming language (C/C++, Python, Java, etc.)A degree in Computer Science, Engineering, Mathematics, a similar field of study, or equivalent work experienceProficiency in system design, architecture, and development of high-quality, modular, stable, and scalable softwarePassion for leading discussions, sharing innovative ideas, and promoting best practices within the teamProficient in adapting project execution to meet evolving demandsWe'd love to see:
An interest in financial markets or a background in data analytics or financial engineeringExperience with high volume, high availability distributed systems
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