Millennium Management
Quantitative Developer - Risk Technology
5 days agoWhat's your preference?
Job Description
- Req#: REQ-25721
- 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.
- 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.
- Experience with financial mathematics and risk modelling.
- Prior experience working directly with risk management/trading functions.
- Experience in Java development.
Quantitative Developer - Risk TechnologyMillennium 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
Required skills/experience
Desirable skills/experience
About the company
Millennium is a global alternative investment management firm, founded in 1989, which manages $47.1 billion in assets. We seek to pursue a diverse array of investment strategies across industry sectors, asset classes, and geographies.
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