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

Used Tools & Technologies

Not specified

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

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.

Statistics @ 4 Algorithms @ 4 Machine Learning @ 4 Communication @ 4 Mathematics @ 4 AI @ 4

Details

Bloomberg’s Engineering Artificial Intelligence department has 400+ AI practitioners building highly sought after products and features that shape global markets. In the 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 you will move Bloomberg’s business forward by assessing, improving, and implementing modern asset pricing models.

Location: New York

Business Area: Engineering and CTO

Responsibilities

Conduct research and analysis to solve complex technical challenges in financial asset pricing within a highly collaborative environment.
Conceptualize pricing methodologies, develop and continuously improve mathematical and data-driven models, and translate algorithms into code.
Increase competency of technical skills by working on models as research projects from idea to productionization.
Integrate cutting-edge 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.
3+ years of proven experience on Fixed Income valuation within the buy or sell side. Experience designing, building, evaluating, and maintaining statistical and/or machine learning solutions in production is a plus.
Experience working with, analyzing and extracting patterns and insights from medium size and large datasets.
Proficiency in probability and statistics to support time modeling of financial processes, advanced machine learning, pattern recognition, etc.
Strong practical computing skills to support the delivery of statistical and ML models. Experience with object-oriented languages is a plus.
A creative, rigorous approach to developing and testing novel methods and technologies.
A track record of authoring publications in top conferences and journals is a strong plus.

Benefits

Flat structure and a highly collaborative environment with open communication.
State of the art tech stack to support day-to-day activities.
Tangible growth in skills and impact through cross-collaboration between AI, Product and technology teams.
Work on financial asset pricing in a supportive environment with work-life balance and a casual office environment.
Comprehensive benefits package (may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short and long term disability, 401(k) with match, life insurance, wellness programs). Note: benefits are not provided to contingent workers/contractors and interns.

Salary Range: 165,000 - 260,000 USD Annual + Benefits + Bonus