Quantitative Developer - Risk Technology

London - 62 Buckingham Gate, United Kingdom

Millennium

Millennium is a global, diversified alternative investment firm with the mission to deliver high-quality returns for our investors.

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Quantitative Developer - Risk Technology

Millennium is a top tier global hedge fund with a strong commitment to technology and data science.

We are looking for a Quantitative Developer to join our Risk Technology team in London. The developer will use Python, AWS and data manipulation libraries to provide risk managers with data-driven insights on our fund’s risk profile.

Responsibilities

  • Work closely with quants, risk managers and other technologists in New York, Tel Aviv and Singapore to develop risk analytics solutions for our Fixed-Income business.
  • Develop micro-services, data ingestion pipelines and APIs to feed tools and dashboards that monitor Millennium’s market risks.
  • Analyse data with pandas/polars to present data in the most impactful way possible.
  • Create and manage cloud applications using AWS.

Required skills/experience

  • Bachelor’s degree in Computer Science, Mathematics, Engineering or similar, from a leading university.
  • Passion for working in finance, and broad understanding of financial instruments and services.
  • Strong analytical skills & problem-solving capabilities.
  • Ability to work independently in a fast-paced environment.
  • Minimum 2 years’ experience working with Python, and data analysis libraries (Pandas/Polars/Numpy).
  • Experience with REST APIs and cloud services.
  • Relational SQL database development experience.
  • Unix/Linux command-line experience.
  • Detail oriented, organised, demonstrating thoroughness and strong ownership of work.

Desirable skills/experience

  • Experience with financial mathematics and risk modelling.
  • Prior experience working directly with risk management/trading functions.
  • Experience in Java development.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: APIs AWS Computer Science Data analysis Engineering Finance Java Linux Mathematics NumPy Pandas Pipelines Python SQL

Region: Europe
Country: United Kingdom

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