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Senior Software Engineer - Fixed Income and Derivatives

Bloomberg

$160,000 - $240,000
Oct 27, 2025
New York, NY, United States of America
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Bloomberg's Fixed Income and Derivatives Engineering team needs to develop and maintain sophisticated solutions for ever-evolving financial markets, enabling clients to generate trade ideas, structure deals, connect to electronic trading platforms, capture market movements, and assess and hedge portfolio risk for a variety of financial instruments across fixed income and derivatives asset classes.

Requirements

  • 4+ years working with an object-oriented programming language (C/C++, Python, Java, etc.)
  • Proficiency in system design, architecture, and development of high-quality, modular, stable, and scalable software
  • Experience with other programming languages such as Javascript, Scala, and OCaml
  • Experience with high volume, high availability distributed systems

Responsibilities

  • develops sophisticated solutions for ever-evolving financial markets
  • use cutting edge big data technologies, distributed computing, functional programming and machine learning to build software solutions
  • implement complex financial and quantitative models to facilitate pricing and analytics in real-time
  • contribute to a high-performance financial software system that handles billions of calculations per day
  • gain hands-on experience in data analytics, distributed algorithms, and performance optimized code
  • design, develop, and implement full-stack solutions
  • adhering to industry best practices for software development, testing, automation, and CI/CD

Other

  • A degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
  • Passion for leading discussions, sharing innovative ideas, and promoting best practices within the team
  • Proficient in adapting project execution to meet evolving demands
  • An interest in financial markets or a background in data analytics or financial engineering
  • We seek passionate engineers who thrive in a diverse, collaborative environment and excel at crafting reusable, efficient solutions to complex problems.