Full Stack Engineer - Quant Platform
Millennium Management
Software Engineering
Miami, FL, USA
Posted on Oct 29, 2024
Full Stack Engineer - Quant Platform
We are looking for a skilled and motivated individual to join our team as a Full Stack Engineer/Developer 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. Knowledge and additional background in finance is a plus.
As a Full Stack Engineer/Developer, you will be responsible for supporting the commodities risk technology team, 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:
As a Full Stack Engineer/Developer, you will be responsible for supporting the commodities risk technology team, 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 UX designs set by the team
- 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
- 1-2+ years of professional experience working with Python and Angular, React experience will also be considered
- Familiarity with Python libraries such as FastAPI, Flask, or Tornado or Data Engineering libraries such as Pandas, Numpy, etc.
- Bachelor's degree in Computer Science, Mathematics, or a 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:
- 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.