Credit Risk Solution Architect

Robert Half Technology are assisting a rapidly growing financial services organisation to recruit a Interim Credit Risk Solution Architect on a contract basis. Hybrid working - London based

We combine deep domain expertise with innovative, bespoke delivery to help clients solve complex risk, data, AI, and technology challenges. As a Solutions Architect, you will play a pivotal role in shaping the design, engineering direction, and delivery quality of both client and internal solutions - ensuring robustness, scalability, auditability, and alignment with organisational standards of excellence.

You'll work closely with the Business and IT & Security teams to assess new ideas for tools, accelerators, and reusable components with strong architectural thinking. This role blends advisory work, hands-on solution design, and the opportunity to influence the next generation of technical and AI-enabled offerings.

Role

Architecture and Solution Design

• The Credit Risk Solution Architect will translate business requirements into high-quality solution architectures and design specifications.
• Develop logical and physical architecture diagrams, integration patterns, data flows, and component models.
• Ensure all designs follow enterprise architecture principles, technology roadmaps, and security standards.
• Evaluate build vs. buy options and lead technical assessments of software, platforms, and cloud services.
• Support project mobilisation, helping teams establish tooling, cloud environments, engineering standards, and delivery patterns.

Collaboration

• Contribute to product roadmaps, emphasising scalability, reusability, and alignment with long-term organisational strategy.
• Support delivery teams to ensure architectural patterns are implemented consistently and efficiently.

Technical Leadership

• Provide architectural guidance to delivery and IT Security teams throughout the delivery lifecycle.
• Review technical designs, code, and configurations to ensure alignment with approved architecture.
• Identify and mitigate technical risks early in the project lifecycle.
• Drive architectural governance, ensuring traceability, documentation accuracy, and compliance.
• Ensure solutions meet compliance standards (e.g. ISO 27001).

AI & Data Awareness

• Ensure solution designs support AI/ML-enabled capabilities where relevant (e.g. data lineage, governance, feature management, and model integration patterns).
• Collaborate with wider technical teams to define integration approaches for predictive analytics, generative AI services, or model-driven systems.
• Recognise and address architectural implications of model lifecycle management (versioning, replicability, and auditability).

Client & Stakeholder Engagement

• Support pre-sales activities by contributing architectural expertise to early discovery, proposals, and RFP responses.

Key Responsibilities:

• The Credit Risk Solution Architect will have proven experience designing credit risk solutions across application, data, integration, and infrastructure domains.
• Strong understanding of cloud architectures (preferably Azure) and modern delivery practices (API-led, microservices, CI/CD, DevOps).
• Expert-level knowledge of the Software Delivery Lifecycle (SDLC) and supporting tools.
• Ability to produce clear and structured documentation, including HLDs/LLDs, sequence diagrams, data flows, and security models.
• Experience building and implementing analytical environments for credit risk.
• Able to design scalable solution architecture for credit risk platforms.

Desirable

• Experience designing architectures involving Azure Data Lake, Databricks, AWS, GCP or similar modern data platforms.
• Relevant cloud certifications (e.g. Azure Solutions Architect Expert).
• Experience working within regulated industries (finance or other data-sensitive environments).
• Knowledge of enterprise architecture frameworks (e.g. TOGAF, Zachman).
• Background in software engineering, data architecture, or infrastructure engineering.
• Exposure to designing internal accelerators, frameworks, or reusable components.
• Awareness of AI/ML architecture patterns, generative AI integration considerations, or data lineage and monitoring concepts.

Company

• Rapidly growing financial services organisation with offices in London
• Hybrid working

Salary & Benefits

The salary range/rates of pay is dependent upon your experience, qualifications or training.

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