About The Role
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. The developer will leverage Python, FastAPI/Django, AWS, and data manipulation libraries to provide data-driven solutions for risk management purposes to stakeholders which include portfolio managers, trading, 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 business (fixed-income, commodities, Equities etc)
- Develop micro-services using Python and analyze data with pandas/polars.
- Develop data ingestion pipelines and core API to provide risk management with ability to get access to analytics programmatically and also via visualization tools
- Create and manage cloud applications on AWS.
- Utilize GIT and appropriate DBMS solutions
- Work with risk management for rapid prototyping and tactical delivery of solutions.
- Fit into the active culture of Millennium, judged by the ability to deliver timely solutions to portfolio and risk managers within the firm.
Required Skills/experience
- Strong analytical skills & problem-solving capabilities
- 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
- Ability to work independently in a fast-paced environment
- Detail oriented, organized, demonstrating thoroughness and strong ownership of work
Desirable Skills/experience
- AWS cloud services: EC2, S3, Aurora, Redshift, etc
- Experience with financial mathematics, statistics and broad understanding of financial services/ instruments.
- Proficiency in data science stack with Python
- Experience in JavaScript development, especially in AngularJS or ReactJS
- Experience in Java development
- Prior experience of working directly with risk management/trading functions
- Bachelor's degree in Computer Science & Engineering from Tier 1 colleges.
