Financial Engineer

Role & responsibilities

Principal responsibilities

• Work closely with our modelling teams to understand in detail these models & Support modelling in delivering these models within our software engineering best practice standards
• Ensure our models are efficient and scalable & Implement best practice CI/CD pipelines to ensure we have 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 (if applicable), and financial markets to keep systems innovative and efficient.
• Develop Python-based solutions for Global Finance business teams, including but not limited to Generative AI
• Research and develop new techniques in data science, Generative AI and related areas to improve the quality of outputs.
• Perform detailed testing of prompts and data inputs and outputs.
• Face off to the business and other stakeholders, including but not limited to the business line teams, Global Finance Analytics, Transformation, Change/Project Management, IT, Governance teams.

Qualifications - External

• Bachelor/ Master Degree in Computer Science, 7+ years of experience
• Proven experience in designing, developing, and deploying software applications.
• Strong understanding of software development lifecycle methodologies
• Experience with Python is essential including frameworks for web development
• Experience with building APIs and microservice architectures is essential
• Experience in DevOps and CI/CD pipelines is essential & in Docker and Kubernetes is essential.
• Familiarity with cloud technologies (Azure, AWS, GCP). & with a compiled language like C++.
• Experience in data manipulation and analysis techniques & of financial markets and products is a plus.
• Experience with automation tools and other scripting languages is a plus.
• Meeting deadlines and working independently are essential for this fast-paced environment.

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