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

P&A isto ensure Regulatory compliance is met for all activities withinscope of Prudential & Analytics (P&A) platform andTransform Regulatory and Analytical capability across keytechnology enablers including data, modelling, reporting andinfrastructure. Whilst we deliver regulatory requirements to ensureLBG remains compliant, in parallel we want to transform our abilityto deliver regulatory change by utilising modern techniques,tooling and infrastructure. This will have the additional benefitof simplifying our system landscape and make it more cost effectiveand efficient to operate. 

About thisopportunity 

A greatopportunity has arisen to be part of a team within P&A platformas a Lab Engineering Lead, you will oversee all aspects of theengineering lifecycle, from technology design and architecturethrough to implementation and optimization, ensuring theinfrastructure supports critical regulatory, prudential, and riskanalytics 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 regulatoryneeds. The role will work alongside the Lab PO in shaping thevision for the Lab, and as a result centre on setting the strategicdirection for the engineering teams to demonstrate thoughtleadership on contemporary technical delivery, across the entirelifecycle, from idea to realisation ofvalue. 

 
KeyResponsibilities: 
 
1.Engineering Leadership: 

• Lead theengineering team responsible for building and maintaining the endto end infrastructure and own the technology transformation ofmaintaining and decommissioning legacy platforms and GCP-based datainfrastructure for the Prudential and AnalyticsPlatform. 
• Provide technical direction andensure that engineering best practices are followed, fromarchitecture through to implementation and testing. Serve as atechnical mentor to engineers, fostering a culture ofcollaboration, innovation, and continuous improvement. 
   

2. Cloud InfrastructureDesign and Optimization: 

• Designand architect scalable, high-performance cloud infrastructure onGoogle Cloud Platform (GCP) that supports real-time dataprocessing, analytics, and regulatorycompliance. 
• Ensure that the platform isdesigned for high availability, resilience, and performance, with afocus on security and compliance with bankingregulations. 
• Lead the implementation ofInfrastructure-as-Code (IaC) practices, using tools like Terraformor Google Cloud Deployment Manager to automate infrastructureprovisioning andmanagement. 

3.End-to-End EngineeringDelivery: 

• Oversee the end-to-enddelivery of engineering projects, from requirements gathering todeployment and post-productionsupport. 
• Ensure that the engineering teamdelivers high-quality solutions that align with the bank’s riskmanagement, prudential, and analyticsobjectives. 
• Collaborate with DevOps,quality engineers, and security teams to integrate CI/CD pipelines,automate testing, and ensure that the platform is continuouslyimproved. 

 
4.Data Infrastructure and AnalyticsIntegration: 

• Work closely withdata scientists and risk analysts to build and maintain the datapipelines and infrastructure that support advanced risk analytics,stress testing, and regulatoryreporting. 
• Ensure that the platform canhandle large-scale data ingestion, processing, and storage in acost-effective manner. 
• Integrate toolsand frameworks for data governance, data lineage, and data securityto ensure the platform adheres to the bank’s compliancerequirements. 

 
5. Security, Governance, andCompliance: 

• Ensure that theinfrastructure is compliant with internal and external regulatoryrequirements (e.g., GDPR, Basel III/IV, IFRS 9) for data protectionand governance. 
• Collaborate with securityteams to implement secure access controls, encryption, and auditingtools to protect sensitive riskdata. 
• Ensure that the platform is builtfollowing DevSecOps principles, embedding security into every stageof the engineeringlifecycle. 

 
6.Stakeholder Engagement andCollaboration: 

• Work closely withproduct owners, risk management teams, and enterprise architects togather business requirements and translate them into technicalsolutions. 
• Collaborate with otherengineering teams across the organization to ensure alignment withthe enterprise’s overall cloud strategy and risk managementframework. 
• Communicate engineeringprogress, risks, and roadmaps to senior leadership and businessstakeholders, ensuring alignment with strategicobjectives. 

 
7. Continuous Innovation andImprovement: 

• Stay updated on thelatest GCP services, data infrastructure trends, and bestpractices, driving continuous improvements to the platform’sarchitecture and engineeringprocesses. 
• Drive the adoption of newtools and technologies that can enhance the platform’s performance,security, andscalability. 

 
Key Qualifications: 
 

• Extensive experience in leadingengineering teams in the development of cloud-based data platforms,preferably with strong expertise in Google Cloud Platform(GCP). 
• Deep understanding of cloudarchitecture, data engineering, data pipelines, and big datatechnologies (e.g., BigQuery, Dataflow,Pub/Sub). 
• Hands-on Expertise inprogramming languages such as Python, Java, orScala. 
• Familiarity with microservicesarchitecture and containerization technologies like Docker andKubernetes. 
• Experience with CI/CDpipelines and automation tools such as Jenkins, GitLab CI, Harris,and cloud infrastructuremonitoring.  
• Knowledge of the bestpractice in cloud infrastructure 
• Provenexperience on digital transformationjourney 
• Proven experience of operating inAgile software development environment 
   

• Familiarity withbanking risk management, prudential regulations, and analyticsframeworks. 
• Knowledge of key regulatoryframeworks (e.g., Basel III/IV, IFRS 9, GDPR) and how they impactdata platform design andcompliance. 

• Strong leadership skills withthe ability to lead cross-functional engineering teams, mentorengineers, and drive a collaborativeculture. 
• Excellent communication andcollaboration skills to engage with both technical andnon-technicalstakeholders. 

DesiredExperience and Skills: 

• 10+ years ofexperience in software development and cloud engineering andleadership roles, with a preferred focus on data platforms andfinancial services. 
• Expertise in big dataprocessing frameworks (e.g., Apache Beam, Spark) and datagovernance tools. 
• Experience in Agilemethodologies and driving large-scale engineering projects tocompletion. 

Wealso offer a wide-ranging benefits package, whichincludes:  

• Agenerous pension contribution of up to15% 
• An annual bonus award, subject toGroup performance 
• Share schemes includingfree shares 
• Benefits you can adapt toyour lifestyle, such as discountedshopping 
• 30days’holiday, with bank holidays on top 
• Arange of wellbeing initiatives and generous parental leavepolicies 

Readyfor a career where you can have a positive impact as you learn,grow and thrive?Apply today and find outmore! 

We'refocused on creating a values-led culture, and our approach toinclusion and diversity means that we all have the opportunity tomake a real difference,together. 

Aspart of the Group's commitments as a result of ring-fencinglegislation, colleagues based in the Crown Dependencies arerequired to be exclusively dedicated to the non-ring-fenced bankand its subsidiaries. This means that colleagues who are based inthe Crown Dependencies would not be able to undertake roles for theRing Fenced Bank from their existing location and would need toconsider relocation when applying forroles.