Bloomberg's Core Financial Analytics team provides the foundational pricing, analytics, and data infrastructure that powers Bloomberg’s markets business. The group delivers cross-asset solutions for curves, volatility surfaces, consensus pricing, screening tools, and listed derivatives, ensuring that clients and internal systems have access to accurate, transparent, and real-time market data.
Requirements
- 4+ years working with an object-oriented programming language (C/C++, Python, Java, etc.)
- Proficiency in system design, architecture, and development of high-quality, modular, stable, and scalable software
- Experience with other programming languages such as Javascript, Scala, and OCaml
- Comfort with high volume, high availability distributed systems
Responsibilities
- builds scalable, adaptable platforms that transform raw market inputs into precise, normalized datasets
- deliver descriptive reference data, relative value analytics, factor analysis and back-testing capabilities for our clients’ data in Fixed Income and Equity worlds
- provide intuitive and easily discoverable universe creation of securities, help clients execute complex relative valuations across those universes, and provide insight to how securities compare with each other and their own history over time
- develops cutting-edge pricing systems for global currency and commodity markets, producing real-time FX rates and fair values for commodities such as oil, gas, metals, and agricultural products
- empowers key market participants by providing tools and insights for idea generation, real-time market surveillance, historical analysis, volatility monitoring and more
- delivering the foundational framework and services that support all consumers of listed derivatives data
- design, develop, and implement full-stack solutions, adhering to industry best practices for software development, testing, automation, and CI/CD
Other
- A degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
- Passion for leading discussions, sharing innovative ideas, and promoting best practices within the team
- Proficient in adapting project execution to meet evolving demands
- An interest in financial markets or a background in data analytics or financial engineering
