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