Senior Quant/ML Engineer - Fixed Income - Artificial Intelligence

Bloomberg; New York (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Collaborative environment

State of the art tech stack

Work-life balance

Job summary

A leading financial technology firm in New York seeks an experienced individual for a role in Fixed Income pricing. Ideal candidates will have a Ph.D. and extensive experience in asset valuation, with a strong foundation in data analysis and machine learning. The position emphasizes the development of innovative pricing models within a collaborative and supportive atmosphere. This role promises professional growth and a balanced work-life dynamic.

Qualifications

• 3+ years of experience in Fixed Income valuation on buy/sell side.
• Experience analyzing medium to large datasets.
• A track record of authoring publications in relevant conferences and journals.

Responsibilities

• Conduct research and analysis to tackle technical challenges in asset pricing.
• Develop and improve data-driven models for pricing.
• Collaborate with teams to maintain robust production systems.

Skills

Problem-solving

Data analysis

Machine learning

Probability and statistics

Education

Ph.D. in Mathematics, Physics, Statistics, or related field

Tools

Programming languages (object-oriented)

Job description

Bloomberg’s Engineering Artificial Intelligence department has 400+ AI practitioners building highly sought after products and features that shape global markets.

In our fast-paced Fixed Income domain, you’ll 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.

We are looking for people who are naturally curious, take ownership, are relentless problem solvers, and have the desire to continuously innovate, learn, and grow within the field of Fixed Income and Credit pricing.

You’ll have the opportunity to:

• 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, all while translating algorithms into code.
• Increase your competency of technical skills as you work on models as research projects, from idea to productionization.
• Integrate cutting-edge academic and industry research into models and methodologies, staying ahead of emerging developments to drive continuous innovation.
• Collaborate with cross‑functional teams to develop, test, monitor and maintain robust production systems.

You’ll need to have:

• Ph.D. in the fields of 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. A track record 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 is a must.
• 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.

We offer you:

• A flat structure and very collaborative environment of like-minded individuals with strong passion for solving technically challenging problems in an open communication environment.
• State of the art tech stack to support your day-to-day activities.
• Tangible growth in skills and impact through the cross‑collaboration between AI, Product and technology teams in an open and transparent manner.
• The ability to work in financial asset pricing in a supportive environment with work-life balance and a casual office environment.