Quantitative Developer - Java (Risk Technology) (London)

Quantitative Developer - Java (Risk Technology)

Millennium is a top-tier global hedge fund committed to leveraging innovations in technology and data science to solve complex business problems.

The Risk Technology team is seeking a Quantitative Developer who will utilize Java, AWS, and data manipulation libraries to deliver data-driven risk management solutions for stakeholders such as Portfolio Managers, Business Management, and Risk Managers.

Responsibilities:

1. Collaborate with quants, risk managers, and technologists across New York, Miami, London, and Singapore to develop risk analytics solutions for various asset classes (fixed-income, commodities, equities, etc.).
2. Build, enhance, and maintain Java REST services and related systems.
3. Develop data ingestion pipelines and core data systems to enable risk management analytics access via programmatic interfaces and web applications.
4. Create and manage cloud applications on AWS.
5. Work with risk management teams for rapid prototyping and solution delivery.
6. Contribute to Millennium's active culture by delivering timely solutions to Portfolio and Risk Managers.

Required skills/experience:

• Strong analytical and mathematical skills with interest or experience in quantitative finance.
• Good understanding of design patterns, algorithms, and data structures.
• Significant experience with modern Java.
• Experience with REST APIs and cloud services.
• Relational SQL database development experience.
• Unix/Linux command-line proficiency.
• Ability to work independently in a fast-paced environment.
• Detail-oriented, organized, with a strong sense of ownership.

Desirable skills/experience:

• Experience with Python and data analysis libraries such as pandas, polars, or numpy.
• Knowledge of financial mathematics, statistics, and financial instruments.
• Experience in JavaScript development, particularly with AngularJS or ReactJS.
• Familiarity with AWS services like EC2, S3, Aurora, Redshift, etc.
• Previous experience working directly with risk management or trading functions.
• Bachelor’s degree in Computer Science or Engineering.