Lab Engineering Lead - Prudential & Analytics Platform - Appcastenterprise : Job Details

End Date

Thursday 21 November 2024

Salary Range

£121,023 - £142,380

We support flexible working – click here for more information on flexible working options

Flexible Working Options

Hybrid Working, Job Share

Job Description Summary

TITLE: Lab Engineering LeadSALARY: £121,023 - £142,380 LOCATION: Edinburgh, Halifax or LeedsHOURS: Full timeWORKING PATTERN: Hybrid, 40% in an office siteAbout us We’re on an exciting journey to transform our Group and the way we’re shaping finance for good. We’re focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you! 

Job Description

The Group is at a pivotal stage in delivering against its strategy; becoming increasingly proactive, nimble, and efficient is key to ensuring we make good decisions to maintain what differentiates us in the market. The Risk strategy, enabled by the Prudential & Analytics (P&A) Platform, is key to creating this shift for the Group.  

P&A is to ensure Regulatory compliance is met for all activities within scope of Prudential & Analytics (P&A) platform and Transform Regulatory and Analytical capability across key technology enablers including data, modelling, reporting and infrastructure. Whilst we deliver regulatory requirements to ensure LBG remains compliant, in parallel we want to transform our ability to deliver regulatory change by utilising modern techniques, tooling and infrastructure. This will have the additional benefit of simplifying our system landscape and make it more cost effective and efficient to operate. 

About this opportunity 

A great opportunity has arisen to be part of a team within P&A platform as a Lab Engineering Lead, you will oversee all aspects of the engineering lifecycle, from technology design and architecture through to implementation and optimization, ensuring the infrastructure supports critical regulatory, prudential, and risk analytics functions. You will work closely with cloud architects, data scientists, and risk officers to deliver a robust, scalable, and compliant platform that meets the bank’s risk and regulatory needs. The role will work alongside the Lab PO in shaping the vision for the Lab, and as a result centre on setting the strategic direction for the engineering teams to demonstrate thought leadership on contemporary technical delivery, across the entire lifecycle, from idea to realisation of value. 

 Key Responsibilities:  1. Engineering Leadership: 

• Lead the engineering team responsible for building and maintaining the end to end infrastructure and own the technology transformation of maintaining and decommissioning legacy platforms and GCP-based data infrastructure for the Prudential and Analytics Platform. 
• Provide technical direction and ensure that engineering best practices are followed, from architecture through to implementation and testing. Serve as a technical mentor to engineers, fostering a culture of collaboration, innovation, and continuous improvement.  

2. Cloud Infrastructure Design and Optimization: 

• Design and architect scalable, high-performance cloud infrastructure on Google Cloud Platform (GCP) that supports real-time data processing, analytics, and regulatory compliance. 
• Ensure that the platform is designed for high availability, resilience, and performance, with a focus on security and compliance with banking regulations. 
• Lead the implementation of Infrastructure-as-Code (IaC) practices, using tools like Terraform or Google Cloud Deployment Manager to automate infrastructure provisioning and management. 

3. End-to-End Engineering Delivery: 

• Oversee the end-to-end delivery of engineering projects, from requirements gathering to deployment and post-production support. 
• Ensure that the engineering team delivers high-quality solutions that align with the bank’s risk management, prudential, and analytics objectives. 
• Collaborate with DevOps, quality engineers, and security teams to integrate CI/CD pipelines, automate testing, and ensure that the platform is continuously improved. 

 4. Data Infrastructure and Analytics Integration: 

• Work closely with data scientists and risk analysts to build and maintain the data pipelines and infrastructure that support advanced risk analytics, stress testing, and regulatory reporting. 
• Ensure that the platform can handle large-scale data ingestion, processing, and storage in a cost-effective manner. 
• Integrate tools and frameworks for data governance, data lineage, and data security to ensure the platform adheres to the bank’s compliance requirements. 

 5. Security, Governance, and Compliance: 

• Ensure that the infrastructure is compliant with internal and external regulatory requirements (e.g., GDPR, Basel III/IV, IFRS 9) for data protection and governance. 
• Collaborate with security teams to implement secure access controls, encryption, and auditing tools to protect sensitive risk data. 
• Ensure that the platform is built following DevSecOps principles, embedding security into every stage of the engineering lifecycle. 

 6. Stakeholder Engagement and Collaboration: 

• Work closely with product owners, risk management teams, and enterprise architects to gather business requirements and translate them into technical solutions. 
• Collaborate with other engineering teams across the organization to ensure alignment with the enterprise’s overall cloud strategy and risk management framework. 
• Communicate engineering progress, risks, and roadmaps to senior leadership and business stakeholders, ensuring alignment with strategic objectives. 

 7. Continuous Innovation and Improvement: 

• Stay updated on the latest GCP services, data infrastructure trends, and best practices, driving continuous improvements to the platform’s architecture and engineering processes. 
• Drive the adoption of new tools and technologies that can enhance the platform’s performance, security, and scalability. 

 Key Qualifications:  

Technical Expertise: 

Extensive experience in leading engineering teams in the development of cloud-based data platforms, preferably with strong expertise in Google Cloud Platform (GCP). Deep understanding of cloud architec