Job Description

Quantitative Developer - Java (Risk Technology)
Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business.


Risk Technology team is looking for Quantitative Developer who would will leverage Java, AWS, and data manipulation libraries to provide data-driven solutions for risk management purposes to stakeholders such as Portfolio Managers, Business Management and Risk Managers.

Responsibilities:

Work closely with quants, risk managers and other technologists in New York, Miami, London and Singapore to develop risk analytics solutions for our businesses (fixed-income, commodities, Equities etc) Build, enhance and maintain existing Java REST services and related systems Develop data ingestion pipelines and core data systems to provide risk management programmatic access to analytics as well as via web interfaces Create and manage cloud applications on AWS Work with risk management for rapid prototyping and delivery of solutions Fit into the active culture of Millennium, judged by the ability to deliver timely solutions to Portfolio and Risk Managers

Required skills/experience:

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

Desirable skills/experience:

Experience working with python, and data analysis libraries (pandas/polars/numpy) Experience with financial mathematics, statistics, and broad understanding of financial services/ instruments Experience in JavaScript development, especially in AngularJS or ReactJS AWS cloud services: EC2, S3, Aurora, Redshift, etc Prior experience of working directly with risk management/trading functions * Bachelor's degree in Computer Science & Engineering