Software Engineer

1 week ago

Miami, FL, United States Millennium Management Full time

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.

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