Job Description

Full Stack Developer - Risk Technology
We are looking for a skilled and motivated individual to join our team as a Full-Stack Developer specializing in

Angular and/or React 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 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/React 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/React 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. 2+ years of professional experience with Angular and/or React. 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

:

Familiarity with Python libraries such as FastAPI, Flask, or Tornado or Data Engineering libraries such as 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.