Title: Financial Engineer
Location: Hybrid London 2 days per week
Length: 6+ months
Rate: up to £1,091 via umbrella
Role Purpose
Analytics, Digital & Architecture (ADA), Global Finance is a global team and Centre of Excellence in Finance responsible for shaping the future of financial analytics and engineering, driving innovation, and delivering unparalleled insights that empower strategic decision making within Global Finance.
The ADA team supports Global Finance by developing sophisticated, high-quality models, analytics capabilities, and innovative analytics, providing seamless development through to deployment pipelines, and implementing best practices in Model Governance and ongoing monitoring. The team is also driving the business architecture and helping IT with the technical architecture.
With an impressive, varied book of work across ADA we are on the lookout for a Financial Engineer, with the primary objective to support this initiative.
The job holder will be required to; work closely with our modelling teams to understand in detail our 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.
Principal Accountabilities: Key activities and decision making areas
- 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.
- 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.
Professional , Functional (Technical), Skills, Experience (key requirements as appropriate)
Software Engineering Expertise:
- 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.
- Experience with Docker and Kubernetes is essential.
- Experience with large data processing technologies.
- Familiarity with cloud technologies (Azure, AWS, GCP).
- Familiarity with a compiled language like C++.
Data & Analytics Skills:
- Experience in data manipulation and analysis techniques.
Problem-Solving and Analytical Skills:
- The ability to identify technical challenges, troubleshoot issues, and develop effective solutions is crucial.
Communication & Collaboration:
- Excellent communication skills to collaborate effectively with technical and non-technical stakeholders.
- Ability to translate business needs into technical solutions.
Additional Skills:
- Understanding of financial markets and products is a plus.
- Experience with automation tools and other scripting languages is a plus.
