Senior ML Quant Engineer - Fixed Income

Salary: £55,000 - 95,000 per year

Requirements

: We need individuals with previous relevant work experience in Machine Learning or Statistical Modeling techniques within the financial industry, particularly in asset valuation. A strong track record in designing, building, evaluating, and maintaining systems in production is highly desirable. You should have a Ph.D. or M.Sc. with equivalent research experience in Machine Learning, Computer Science, Mathematics, Statistics, or a related field.

We are looking for candidates who thrive in solving complex problems where standard solutions may not suffice and who possess a creative, rigorous approach to developing novel methods and technologies. Proficiency in software engineering and a solid understanding of computer science fundamentals such as data structures and algorithms are essential. Excellent communication skills and the ability to collaborate effectively with both engineering peers and non-engineering stakeholders are crucial.

A history of publishing in top conferences and journals would be a strong advantage. Responsibilities: In this role, you will have the opportunity to design, build, and evaluate statistical and Machine Learning models that have a direct impact on how global markets price fixed income assets. You will collaborate with cross-functional teams to develop, test, monitor, and maintain robust production systems.

Additionally, you'll be tasked with designing new architectures, systems, and tools to enhance Bloomberg's next-generation pricing capabilities. Integrating cutting-edge academic and industry research into our models and methodologies will be a key component of your work, enabling us to stay ahead of emerging developments while driving continuous innovation. You will also represent Bloomberg at scientific and industry conferences and contribute to the publication of research findings through documentation, white papers, or submission to leading academic journals.

Technologies: AICloudMachine LearningCTO

Quant More: At Bloomberg's Engineering AI department, you will join a team of over 350 AI practitioners dedicated to building sought-after products that shape global markets. In the fast-paced Fixed Income domain, you'll implement advanced models leveraging modern machine learning and statistical techniques, utilizing novel technology stacks and vast data sources to accurately price millions of securities. Our commitment to data-driven solutions revolves around combining statistical and machine learning approaches to price diverse asset classes, particularly focused on Fixed Income.

As we expand our group, we are eager for you to contribute innovative modeling ideas and bring them to life through clean, modular, production-quality code in cloud-native environments, ensuring your work has a tangible impact. last updated 32 week of 2026