Bloomberg

Senior Quant/ML Engineer - Fixed Income - Artificial Intelligence

Bloomberg
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2 hours ago

Base Salary

$165k - $260k/yr

Responsibilities

  • Conduct research and analysis to solve technical challenges in financial asset pricing.
  • Conceptualize pricing methodologies and develop, improve, and implement mathematical and data-driven models.
  • Translate algorithms into code and take research projects from ideation through productionization.
  • Integrate academic and industry research into pricing models and methodologies.
  • Collaborate with cross-functional teams to develop, test, monitor, and maintain production systems.
  • Analyze large datasets to identify patterns and insights for fixed-income valuation.

Requirements

  • Ph.D. in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, Machine Learning, or a similar field.
  • At least 3 years of experience in fixed-income valuation on the buy or sell side.
  • Experience with probability and statistics for modeling financial processes, advanced machine learning, and pattern recognition.
  • Strong practical computing skills for delivering statistical and machine learning models.
  • Experience analyzing medium-sized and large datasets.
  • A creative and rigorous approach to developing and testing novel methods and technologies.

Benefits

  • Collaborative, flat organizational structure with cross-functional work across AI, product, and technology teams.
  • Work-life balance and a casual office environment.
  • Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, disability, 401(k) match, life insurance, and wellness programs.

Categories

Bloomberg

About Bloomberg

10,000+ employees

Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency and efficiency, and fairness to markets. We help connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration. We challenge the status quo through constant innovation. We collaborate broadly because we know that other perspectives matter. We put our customers first, as a guiding beacon. And we believe doing the right thing – by our people, our clients, and our communities – is the best thing for our business.

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