Lead Solution Architect - Enterprise Risk Management platform

Lloyds Banking Group
Edinburgh
4 months ago
Create job alert

Description

We are seeking a highly skilled Software Platform Lead Solution Architect to lead the solution architect team, to be responsible for the design and development of scalable, secure, and innovative technology solutions in Enterprise Risk Management platform.

The ideal candidate will have strong expertise in architecting platforms that support credit risk, operational risk, and market risk functions, ensuring robust systems and compliance with banking regulations. The role will collaborate closely with risk data scientists, software and data engineers, and external vendors to build solutions that drive efficiency, security, and regulatory compliance, while also defining and documenting comprehensive technical requirements.

Key Responsibilities:

1. Platform Solution Architecture Design:

Lead the solution architecture design for software platforms supporting risk management regulation requirements. Design systems that integrate risk data from various sources, ensuring data availability, quality for risk modelling and reporting. Ensure the scalability, performance, and resilience of risk platforms to handle large-scale, complex risk analytics.

2. Technology and Framework Selection:

Evaluate and recommend appropriate technologies (cloud, on-premises, hybrid) for the risk platform. Leverage industry best practices for microservices architecture, API management, and integration strategies to build flexible and modular systems. Ensure platforms are built using secure, scalable, and future-proofed technologies, incorporating DevOps practices for continuous deployment.

3. Technical Requirements Writing:

Develop and document **technical requirements** that define the system's architecture, integration points, and data processing needs, aligning them with business and regulatory goals. Functional Requirements: Outline system capabilities, including real-time risk reporting, data integration, and model execution. Non-Functional Requirements: Define performance, scalability, security, and resilience standards. Data Requirements: Document data flows, storage, protection (encryption, masking), and access control measures. Integration and API Requirements: Specify API structures and integration details with internal and external systems. Security Requirements: Outline authentication, authorization, encryption, and audit logging mechanisms. Compliance and Regulatory Requirements: Ensure the platform adheres to relevant banking regulations (e.g., Basel III/IV, GDPR).

4. Risk Analytics and Data Integration:

Collaborate with risk officers, quantitative analysts, and data scientists to integrate sophisticated risk models into the platform. Develop data integration solutions for real-time and batch risk data processing across various sources (e.g., credit systems, market data feeds, external vendors). Ensure platforms support advanced analytics, stress testing, scenario analysis, and regulatory reporting (e.g., Basel III/IV, IFRS 9, CCAR).

5. Security, Governance, and Compliance:

Ensure compliance with internal and external regulatory requirements (e.g., GDPR, PCI-DSS, Basel Accords) for data protection, security, and audit trails. Implement architecture governance frameworks that align with enterprise risk management (ERM) and IT policies. Collaborate with security teams to ensure platforms are protected from emerging threats and vulnerabilities.

6. Collaboration and Stakeholder Engagement:

Engage with cross-functional teams including risk management, finance, product owners and external vendors to gather requirements and deliver technical solutions. Communicate complex technical solutions to non-technical stakeholders, ensuring alignment with business objectives. Support and mentor development teams, ensuring architecture principles are followed throughout the development lifecycle.

7. Continuous Improvement and Innovation:

Keep up to date with the latest technological advancements in banking risk platforms, data management, and security. Drive innovation by incorporating modern technology for predictive risk analytics, fraud detection, and automation of risk reporting. Collaborate with other architects and engineers to continuously refine platform architecture for performance, scalability, and security improvements.

Key Qualifications:

1. Technical Expertise:

Proven experience as a software architect, ideally within banking or financial services, with exposure to risk management platforms. Strong knowledge of cloud technologies (GCP) and on-premises systems. Expertise in designing microservices, distributed systems, and APIs for high-volume data integration. Proficiency with databases (SQL, NoSQL) and data pipelines (ETL/ELT) for large datasets.

2. Risk Management Understanding:

Familiarity with risk functions in banking (e.g., credit risk, market risk, liquidity risk, operational risk). Understanding of key risk frameworks (Basel II/III/IV, IFRS 9, CCAR, Dodd-Frank Act) and regulatory requirements for risk platforms.

3. Leadership and Stakeholder Engagement:

Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical teams. Experience in guiding development teams through architecture decisions and ensuring alignment with business and regulatory needs.

4. Security and Compliance:

Deep understanding of security best practices and regulatory requirements in banking (e.g., GDPR, PCI-DSS). Experience in implementing security protocols, data encryption, and secure access control measures.

 Desired Experience and Skills:

10+ years of software development/architecture experience, preferably in financial services risk management systems. Hands-on experience with risk analytics tools, such as SAS, R, or Python, and integration with financial data feeds. Experience with agile methodologies and DevOps processes (CI/CD, automated testing, containerization).

We also offer a wide-ranging benefits package, which includes:  

A generous pension contribution of up to 15%  An annual bonus award, subject to Group performance  Share schemes including free shares  Benefits you can adapt to your lifestyle, such as discounted shopping 30days’ holiday, with bank holidays on top  A range of wellbeing initiatives and generous parental leave policies 

Ready for a career where you can have a positive impact as you learn, grow and thrive?Apply today and find out more! 

We're focused on creating a values-led culture, and our approach to inclusion and diversity means that we all have the opportunity to make a real difference, together. 

As part of the Group's commitments as a result of ring-fencing legislation, colleagues based in the Crown Dependencies are required to be exclusively dedicated to the non-ring-fenced bank and its subsidiaries. This means that colleagues who are based in the Crown Dependencies would not be able to undertake roles for the Ring Fenced Bank from their existing location and would need to consider relocation when applying for roles. 

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.

We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. 

We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.

Related Jobs

View all jobs

Lead Integration Solution Architect

Solution Architect

Senior Solution Architect

Presales Azure Solution Architect (Presales Exp Manadatory)

Data & AI Solution Architect - Director

Data & AI Solution Architect - Director

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.

Career Paths in Data Science: From Entry-Level Analysis to Leadership and Beyond

Data is the lifeblood of modern business, and Data Scientists are the experts who turn raw information into strategic insights. From building recommendation engines to predicting market trends, the impact of data science extends across virtually every industry—finance, healthcare, retail, manufacturing, and beyond. In the UK, data-driven decision-making is critical to remaining competitive in a global market, making data science one of the most sought-after career paths. But how does one launch a career in data science, and how can professionals progress from entry-level analysts to senior leadership roles? In this comprehensive guide, we’ll explore the typical career trajectory, from junior data scientist to chief data officer, discussing the key skills, qualifications, and strategic moves you need to succeed. Whether you’re a recent graduate, transitioning from another technical field, or an experienced data scientist aiming for management, you’ll find actionable insights on forging a successful career in the UK data science sector.