← Back to jobsJob ID col-cmvv30n6p023u42b9xe9wabh6

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, 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

Qualifications

  • 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
  • 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
  • A creative, rigorous approach to developing and testing novel methods and technologies

Preferred

  • A track record 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

Required skills

Financial Process ModelingFixed Income ValuationLarge-Scale Dataset AnalysisMachine LearningProbability and StatisticsStatistical Modeling

Full job description

Senior Quant/ML Engineer - Fixed Income - Artificial Intelligence jobs in United States

Bloomberg

  • Senior Level
  • $165K/yr - $260K/yr

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, 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

Preferred

  • A track record 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

  • 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.
  • Merit increases
  • Incentive compensation (exempt roles only)
  • Paid holidays
  • Paid time off
  • Medical, dental, and vision benefits
  • Short- and long-term disability benefits
  • 401(k) with company match
  • Life insurance
  • Various wellness programs
  • Benefits are not provided directly to contingent workers, contractors, or interns.
  • Glassdoor
  • 4.0
  • Business and financial information, data, news, and technology services.
  • New York, New York, USA
  • http://www.bloomberg.com
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Qualifications

  • 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
  • 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
  • A creative, rigorous approach to developing and testing novel methods and technologies
  • A track record 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
  • 3+ years of proven experience on Fixed Income valuation within the buy or sell side.

Required skills

  • Financial Process Modeling, Fixed Income Valuation, Large-Scale Dataset Analysis, Machine Learning, Probability and Statistics, Statistical Modeling

Preferred skills

  • Experience with object oriented languages is a plus

Experience

  • 3+ years

Job details

Employment type

Full-time

Seniority level

3+ years

Date posted

Oct 28, 2026

Work mode

On-site

Job source

bloomberg.avature.net

Company

Bloomberg

Information Technology & AI

See all 5 jobs from Bloomberg →
  • New York, NY
  • Information Technology & AI

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