Request Technology - Chicago, IL
posted 2 months ago
We are seeking a highly skilled Software Engineer with a strong background in Python, Java, and DevOps practices, particularly in containerization and Infrastructure as Code. The ideal candidate will have experience in quantitative risk management (QRM) and will be responsible for developing applications and solutions that automate risk models rather than building them from scratch. This role requires a deep understanding of the financial industry, particularly in regulated environments, and a solid grasp of financial products such as derivatives, equities, and interest rates. The successful candidate will work closely with the QRM team to develop and maintain risk models, ensuring that software is effectively implemented and tested in production environments. This includes configuring and managing resources in both local and AWS cloud environments, deploying QRM's software, and developing CI/CD pipelines to streamline the development process. The role also involves creating unit and integration tests, enhancing test automation tools, and participating in code reviews to ensure high-quality software delivery. Candidates should possess strong programming skills and be able to read and write code in languages such as Java, C++, and Python. A background in financial mathematics, including knowledge of derivatives pricing models and stochastic calculus, is highly desirable. The role requires a proactive approach to problem-solving, with the ability to identify issues and implement effective solutions. Experience with Agile/SCRUM methodologies is also preferred, as is familiarity with productivity tools like Jira and Confluence.