Software Engineer - Risk Technology

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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.

• 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.

• 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.

• 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.

Mid-Senior level

Full-time

Engineering and Information Technology

Investment Management

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Miami, FL $–$ 2 weeks ago