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Quantitative Analyst – Fixed Income Relative Value

Norman Alex · Monaco

Senior 🇬🇧 English
Python C# C++ Java SQL DevOps CI/CD automated testing

Job description

About the role

We are looking for a Quantitative Analyst to join our Fixed Income Relative Value team. Working closely with portfolio managers, traders and senior technology leaders, you will help build quantitative models and tools that drive data‑driven decisions across fixed‑income markets.

Key responsibilities

  • Develop and enhance quantitative models and analytics tools for fixed‑income products.
  • Support portfolio managers and traders with research, analysis and ad‑hoc queries.
  • Improve infrastructure, risk‑management processes and production pipelines.
  • Analyse large data sets and contribute to quantitative research initiatives.

Required profile

  • Degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Finance or related field.
  • Minimum 5 years of quantitative development experience in a bank, hedge fund or asset manager focused on fixed income.
  • Strong understanding of bonds, rates, derivatives, futures and yield curves.
  • Solid background in statistics, probability and quantitative modelling.
  • Experience with SQL, DevOps environments, CI/CD pipelines, automated testing and production‑grade software development is a plus.

Required skills

  • Python programming.
  • At least one additional language such as C#, C++ or Java.
  • SQL.
  • DevOps tools and CI/CD pipelines.
  • Automated testing frameworks.

What we offer

  • Collaborative, technology‑driven environment.
  • Opportunity to make a meaningful impact within a high‑performing team.

Questions fréquentes

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Published 4 months ago

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Norman Alex

Monaco