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. We are assembling a strong Risk Technology team to build our next generation in-house risk tools. This team will sit under the Risk Technology group and will develop and maintain the in-house VaR systems to support risk management and trading in Equities, Fixed Income, Commodities, Credit and FX business at Millennium. Risk Technology provides a dynamic and fast-paced environment with excellent growth opportunities.

Responsibilities:

• Work closely with quants, risk managers and other engineers in Geneva, New York, London to develop data intensive and multi-asset analytics for our risk platform
• Development and implement best UI/UX practices and guidelines
• Develop feature rich user interfaces and design mockups
• Gather requirements and user feedback in collaboration with fellow engineers and project leads
• Design, build and refactor robust software applications with clean and concise code following Agile and continuous delivery practices
• Staying abreast of industry trends, new platforms and tools, and coming up with a business case to adopt new technologies

Qualifications/Skills Required

• BA or Master in computer science or any other scientific fields
• 3+ years of Angular or React development experience, preferably Angular based on Typescript
• Strong understanding and experience in UI test frameworks like Karma, Jasmine, Coffee, etc.
• Experienced in mockup/wireframe tools
• Understanding of HTTP network requests and responses
• Understanding of HTML, XML, and JSON formats
• Ability to work with Git, Jenkins or CI/CD tools
• Strong knowledge of Unix or Linux
• Strong communication skills to collaborate with various stakeholders
• Able to work independently in a fast-paced environment.
• Detail oriented, organized, demonstrating thoroughness and strong ownership of work
• Experience working in a production environment

Nice to have:

• Experience with financial mathematics and statistics.
• Proficient in Python using micro services/REST services with Flask/FastAPI/Django
• Experience with cloud platforms/products, AWS strongly preferred (Redshift/Dynamo/Lambda/S3)
• Experience in the financial industry