Contract Financial Engineer - Python - Inside IR35 - Global Investment Bank
The Global Treasury department of one of our global investment banking clients is looking for a Financial Engineer to join the team to work within their Analytics, Digital & Architecture division.
Key activities:
* Work closely with the modelling teams to understand in detail these models.
* Support modelling in delivering these models within the software engineering best practice standards.
* Ensure models are efficient and scalable.
* Implement best practice CI/CD pipelines to ensure there are stable production deployments.
* Support the testing and BAU support as required throughout model deliveries.
* Utilise programming skills to automate and streamline software development processes related to global finance, optimising efficiency and minimising risks.
* Collaborate effectively with stakeholders across business units, IT, and data science to translate requirements into technical solutions, ensuring alignment with business goals.
* Maintain a strong understanding of current software engineering best practices, cloud technologies, and financial markets to keep systems innovative and efficient.
* Provide strong analytical and problem-solving skills to troubleshoot and resolve technical challenges within the software financial engineering domain.
* Work independently and manage your time effectively to meet project deadlines for all developments.
* Communicate complex technical concepts related to software engineering clearly and concisely to both technical and non-technical audiences.
Essential Skills, Experience, and Expertise:
* Software Engineering Expertise:
o Proven experience in designing, developing, and deploying software applications.
o Strong understanding of software development lifecycle methodologies.
o Experience with Python is essential, including frameworks for web development.
o Experience with building APIs and microservice architectures is essential.
o Experience in DevOps and CI/CD pipelines is essential.
o Experience with Docker and Kubernetes is essential.
o Experience with large data processing technologies.
o Familiarity with cloud technologies (Azure, AWS, GCP).
o Familiarity with a compiled language like C++.
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