Quantitative Developer - Java (Risk Technology)

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

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