Senior Quant/ML Engineer - Fixed Income - Artificial Intelligence

at Bloomberg

📍 New York City, United States

USD 165,000-260,000 per year

SENIOR

✅ On-site

Tech Stack
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1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Algorithms Machine Learning @ 6 Mathematics Statistics @ 6

Details

Bloomberg’s Engineering Artificial Intelligence department has 400+ AI practitioners building products and features that shape global markets. In the fast-paced Fixed Income domain, you will apply mathematics, statistics, machine learning, and modern programming frameworks over vast data sources to accurately price millions of securities. You will research methods to offer transparency and accuracy within Fixed Income markets and help advance Bloomberg’s business by assessing, improving, and implementing modern asset pricing models.

Responsibilities

Conduct research and analysis to solve complex technical challenges in financial asset pricing within a highly collaborative environment.
Conceptualize pricing methodologies and develop and continuously improve mathematical and data-driven models while translating algorithms into code.
Develop models as research projects from initial idea through productionization while increasing technical competency.
Integrate academic and industry research into models and methodologies to drive continuous innovation.
Collaborate with cross-functional teams to develop, test, monitor, and maintain robust production systems.

Requirements

Ph.D. in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, Machine Learning, or a similar field from a top-tier institution.
At least 3 years of proven experience in Fixed Income valuation within the buy or sell side.
Experience working with, analyzing, and extracting patterns and insights from medium-sized and large datasets.
Proficiency in probability and statistics to support time modeling of financial processes, advanced machine learning, and pattern recognition.
Strong practical computing skills to support the delivery of statistical and machine learning models.
A creative and rigorous approach to developing and testing novel methods and technologies.
Experience designing, building, evaluating, and maintaining statistical and/or machine learning solutions in production is a plus.
Experience with object-oriented languages is a plus.
A track record of authoring publications in top conferences and journals is a strong plus.

Benefits

Collaborative environment with a flat structure and technically focused colleagues.
State-of-the-art technology stack.
Opportunities for growth through collaboration across AI, Product, and technology teams.
Supportive work environment with work-life balance and a casual office environment.
Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs.
Salary: $165,000–$260,000 USD annually, plus benefits and bonus.