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Quantitative developer - risk technology (london)

Earl Shilton
Millennium Management
Quantitative developer
Posted: 2 July
Offer description

Quantitative Developer - Risk Technology

Do you have the right skills and experience for this role Read on to find out, and make your application.
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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