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# Senior Quant/ML Engineer - Fixed Income - Artificial Intelligence

- **Company:** Brainrap Artificial Intelligence Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $165,000.0 - $260,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Computer Literacy, Machine Learning, Object-Oriented Software Development, Pattern Recognition, Deep Learning, Information Technology, Data Analytics
- **Published:** October 23, 2026
- **Apply:** https://www.dice.com/job-detail/d40b59ed-9a1e-42bc-9bfe-99977fd01e6c

## About the Role

* 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.

## Description

* 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.