Lead Quantitative Developer and Cloud Engineer with 15+ years spanning automotive engineering and financial services. I build production-grade, cloud-native systems for regulated environments — always with a focus on automation, testability, and engineering rigour.

Currently leading credit risk model delivery at Investec, covering IFRS9 and IRB frameworks on Azure, with a track record of building auditable toolchains that bridge quantitative research and production systems.

• Platform Engineering – Architected and delivered cloud-native platforms for credit risk model hosting, monitoring, and management information at Investec, using Azure Container Apps, Function Apps, and Azure SQL
• Python SDK Development – Designed and built hierarchical Python SDKs (monorepo structure) abstracting Azure client APIs and internal model APIs for analyst consumption
• CI/CD & DevOps – Built Azure DevOps pipelines including unit testing (PyTest), code coverage, vulnerability scanning, and deployment automation
• TDD-First Engineering – Advocate of clean, test-driven development to maintain software quality in lean teams without dedicated QA
• Regulatory Model Deployment – End-to-end delivery of IFRS9 and IRB models in production, with zero audit findings across Big Four annual reviews
• Engineering Leadership – Line manager and technical lead; selected for Investec's Leadership Academy Development Team Leader programme (competitive annual cohort of ~20 participants)

tech_stack = {
    "Languages": ["Python", "SQL", "Bash"],
    "Cloud": ["Azure Container Apps", "Function Apps", "Azure SQL",
              "Cosmos DB", "Azure Machine Learning", "Azure Monitor", "DevOps"],
    "Frameworks": ["FastAPI", "Pydantic", "SQLAlchemy", "Pandas", "NumPy"],
    "DevOps": ["Azure DevOps", "Docker", "GitHub Actions"],
    "SDK Development": ["Python package design", "monorepo structure",
                        "API client libraries", "developer tooling"],
    "Testing": ["pytest", "TDD", "code coverage", "CI security gates"]
}

• 🏗️ Engineering leadership in regulated fintech environments
• 📦 Model deployment best practices (IFRS9, IRB, FCA frameworks)
• 🧰 Python SDK design and developer experience optimisation
• 🤖 Governed AI-assisted engineering and agent patterns
• 🔄 Observability and data pipeline design for risk systems
• 🏗️ Infrastructure as Code (Bicep/Terraform)

• Led end-to-end delivery of credit risk model estate at Investec Bank — IFRS9, IRB, and FCA MCOB 11.6 frameworks — on Azure cloud infrastructure
• Built CO₂/NVH optimisation platforms using neural networks at Ford Motor Company
• Lead engineer on UK Government-funded CREO research project at Prodrive Automotive Technology, developing emissions simulation methods subsequently adopted as the Ford Motor Company standard

• Engineering Leadership – Line manager with strong team retention across a demanding regulatory environment
• Technical Audit Lead – Primary technical contact for Big Four annual reviews covering model implementation, data lineage, and IT risk
• Technical Translation – Communicate complex quantitative concepts to non-technical stakeholders, regulators, and executive teams
• Stakeholder Management – Managed relationships with senior executives, internal audit, and external regulatory bodies

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