Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement advanced ML models for pricing fixed income securities.
- Company: Bloomberg's Engineering AI department is a leader in shaping global markets with innovative technology.
- Benefits: Enjoy a collaborative environment, opportunities for research publication, and a focus on continuous innovation.
- Why this job: Make a tangible impact in global finance while working with cutting-edge technology and diverse teams.
- Qualifications: Ph.D. or M.Sc. in relevant fields; experience in ML/statistical modeling in finance preferred.
- Other info: Bloomberg values diversity and offers reasonable adjustments for applicants with disabilities.
The predicted salary is between 72000 - 108000 £ per year.
Senior Quantitative Engineer (AI/ML) – Fixed Income
Location
London
Business Area
Engineering and CTO
Ref #
10045475
**Description & Requirements**
Bloombergu2019s Engineering AI department has 350+ AI practitioners building highly sought after products and features that shape global markets. In our fast-paced Fixed Income domain, youu2019ll design and implement advanced models that leverage modern ML and statistical techniques on top of novel technology stacks and vast data sources to accurately price millions of securities. We are heavily invested in data-driven solutions that combine statistical and machine learning solutions to price diverse asset classes, with a strong focus on Fixed Income. Building on the success of modern ML-based pricing solutions such as IBVAL, we are expanding our group to tackle more ambitious challenges in Fixed Income modeling. In this role, you will contribute novel modeling ideas and bring them to life by writing clean, modular, production-quality code for cloud-native environments, ensuring your work makes a tangible impact.
We seek highly multifaceted skilled individuals with expertise in Fixed Income modeling, interest rate theory, credit risk, or advanced statistical/machine learning techniques.
**You\’ll have the opportunity to:**
Design, build and evaluate statistical and Machine Learning models that directly influence how global markets price fixed income assets
Collaborate with cross-functional teams to develop, test, monitor and maintain robust production systems.
Design new architectures, systems and tools to power next-generation pricing capabilities of Bloomberg.
Integrate cutting-edge academic and industry research into models and methodologies, staying ahead of emerging developments to drive continuous innovation.
Represent Bloomberg at scientific and industry conferences, and publish research findings through documentation, whitepapers, or in leading academic journals and conferences.
**You\’ll need to have:**
Previous relevant work experience with Machine Learning or Statistical Modeling techniques in the financial industry, ideally around asset valuation. A track record designing, building, evaluating, and maintaining statistical or Machine Learning solutions in production is a plus.
Ph.D. or M.Sc. with equivalent research experience in Machine Learning, Computer Science, Mathematics, Statistics or a related field.
Thriving in solving challenging, often ill-defined problems where off-the-shelf solutions fall short, and bring a creative, rigorous approach to developing novel methods and technologies.
Proficiency in software engineering with an understanding of Computer Science fundamentals such as data structures and algorithms.
Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
A track record of authoring publications in top conferences and journals is a strong plus.
Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email (Europe, the Middle East and Africa). Alternatively, you can get support from our disability partner EmployAbility, please contact +44 7852 764 684 or
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Senior Quantitative Engineer (AI/ML) - Fixed Income employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Engineer (AI/ML) - Fixed Income
✨Tip Number 1
Familiarise yourself with the latest trends in Fixed Income modelling and machine learning techniques. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the financial industry, especially those working in AI and ML. Attend relevant conferences or webinars to connect with potential colleagues and learn about the challenges they face in Fixed Income modelling.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of complex issues you've tackled in previous roles. Be ready to discuss how you approached these challenges and the innovative solutions you implemented.
✨Tip Number 4
Stay updated on Bloomberg's recent projects and publications in the AI/ML space. Understanding their current work will help you align your skills and experiences with their goals, making you a more attractive candidate.
We think you need these skills to ace Senior Quantitative Engineer (AI/ML) - Fixed Income
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Machine Learning and Statistical Modeling, particularly in the financial industry. Emphasise any projects or roles that involved Fixed Income modeling or asset valuation.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for AI and ML in finance. Discuss specific examples of how you've designed and implemented models, and how your work has made an impact in previous roles.
Highlight Publications: If you have authored publications in top conferences or journals, make sure to mention them prominently. This demonstrates your expertise and commitment to advancing knowledge in the field.
Showcase Collaboration Skills: In your application, provide examples of how you've successfully collaborated with cross-functional teams. Highlight your communication skills and ability to work with both technical and non-technical stakeholders.
How to prepare for a job interview at Bloomberg
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Machine Learning and Statistical Modeling techniques, especially in the context of asset valuation. Highlight specific projects where you've designed, built, or maintained models, and be ready to explain the methodologies you used.
✨Demonstrate Problem-Solving Skills
Expect to face challenging, often ill-defined problems during the interview. Prepare examples that showcase your creative and rigorous approach to developing novel methods and technologies, particularly in Fixed Income modeling.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice explaining complex technical concepts in a way that non-engineering stakeholders can understand. Be ready to discuss how you've collaborated with cross-functional teams in previous roles.
✨Prepare for Research Discussions
Since publishing research findings is part of the role, be prepared to discuss any publications you've authored. Familiarise yourself with recent developments in the field and be ready to share your thoughts on how they could influence Bloomberg's pricing capabilities.
