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Hedge Funds
Software Engineer - Risk Technology
at Millennium
Mid LevelNo visa sponsorshipPython
Posted 4 hours ago
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Full Stack Engineer focused on Angular and Python to support enterprise risk technology for the CIO team. The role combines front-end and back-end development (Angular, FastAPI, Typescript) with Python quantitative development, asynchronous workflows, data engineering and collaboration with quant teams to ensure timely, high-quality risk data.
Software Engineer - Risk Technology
We are looking for a skilled and motivated individual to join our team as a Full Stack Engineer specializing in Angular and Python. In addition to Full-Stack development, the ideal candidate will also be willing to take on Python quantitative development tasks as this platform. This role requires a blend of technical expertise, problem-solving skills, and the ability to work in a high-pressure environment.
As a Full Stack Engineer, you will be responsible for supporting the enterprise risk technology used by our CIO team, which requires operating in a dynamic environment where timeliness and quality of data are of utmost importance. You will work on a variety of innovative and challenging projects, making you a creative problem solver who is attentive to detail and capable of working both independently and as part of a team.
Responsibilities:
- Design, develop, and maintain web applications using Angular and FastAPI.
- Implement asynchronous programming workflows to enhance application performance and scalability.
- Develop Python applications and tools for quantitative analysis and modeling.
- Build functional Angular components using Typescript and NextJS.
- Collaborate with quant teams to understand and implement their requirements.
- Identify and create reusable code packages.
- Document development phases and monitor systems.
- Automate tasks through appropriate tools and scripting.
- Collaborate with internal teams and upstream internal data providers.
- Stay up to date with industry trends, emerging technologies, and best practices.
Requirements:
- 3+ years of professional software engineering or development experience.
- 3+ years of professional experience with Angular, or other typescript frameworks will also be considered.
- Bachelor's degree in Computer Science or related field.
- Strong understanding of synchronous and asynchronous programming and their applications.
- Strong understanding of data structures, data modeling, and software architecture.
- Excellent analytical and problem-solving skills.
- Proficient in both written and verbal English communication.
- Ability to work independently and as part of a global team.
- Knowledge in Math and statistics.
Preferred Skills:
- Familiarity with data engineering libraries such as Polars, Pandas, Numpy, etc.
- Experience working with large datasets and time series data.
- Experience working with AWS (especially EC2, S3 and Redshift).
- Knowledge in finance.
- Prior experience in quantitative development.
