Scott Redden
Head of Quality Assurance @B2C2
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WORK HISTORY
Head of Quality Assurance @B2C2
London, GB
Leading QA transformation for a global digital asset trading platform, embedding engineering-led quality and AI-augmented delivery across the organisation.Key achievements:• Improved test observability by implementing ReportPortal with Slack integration and versioned test tracking• Built QA from a single-engineer function into a 5-person team with defined ownership across automation, performance, and workflows• Designed and deployed an AI skills platform (Claude Code) used across multiple repositories, automating failure triage, log analysis, PR reviews, and documentation• Promoted AI governance with a two-tier trust model separating AI-generated outputs from production-critical code• Rebuilt non-functional testing into a reusable performance framework, enabling trade latency measurement and scalability testing to 10x production load• Extended core automation frameworks (Java/Cucumber) to cover OTC, CFD, and multi-protocol validation across FIX, REST, WebSocket, KDB, and Redis• Automated trader sign-off for new instruments, reducing onboarding from days to hours with full system validation• Migrated UI automation to headless Chromium, enabling stable execution in containerised environments• Stabilised regression pipelines by identifying infrastructure issues (AWS spot evictions/OOM) previously misclassified as test failures
EDUCATION
RMIT University
Bachelor of Applied Science (BASc), Computer Software Engineering
SKILLS
ABOUT SCOTT REDDEN
I lead quality engineering in high-performance fintech and digital asset environments, combining deep technical expertise with AI-augmented delivery to scale both systems and teams.Currently Head of QA at B2C2, I transformed QA from a single-engineer function into a multi-domain team delivering automation, performance, and platform-level quality across trading systems. My focus is on building engineering-led QA that operates as a force multiplier, not a bottleneck.Key areas of impact:• AI-augmented engineering – built a modular Claude Code skills platform used across multiple repositories to automate failure triage, log analysis, PR reviews, and documentation• Trading systems quality – end-to-end validation across FIX, REST, WebSocket, KDB, and Redis protocols• Performance & scalability – designed frameworks to test trading systems to 10x production load with real latency measurement• Test observability – replaced opaque CI logs with fully searchable, versioned test reporting integrated into engineering workflows• Team building – scaled QA from 1 to 5 engineers with domain ownership across automation, performance, and workflowsI’m particularly interested in roles and challenges at the intersection of:AI × Engineering Productivity × Trading / Capital Markets systemsOpen to strategic opportunities in fintech, digital assets, and high-scale engineering environments.
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