Teams at Matrix Global Services

Analyze banking and financial crime data, develop and tune statistical and machine learning classification models, evaluate model performance, identify data quality issues, and recommend optimization strategies. The role uses Python and SQL for feature engineering, statistical modeling, automation, and large-scale data processing. Responsibilities also include documenting methodologies, reporting results to management and regulators, and collaborating with compliance, technology, business, and model governance teams.

Principal Engineer serving as the CTO’s technical deputy, leading day-to-day engineering execution, architecture, code reviews, developer support, and delivery. The role requires hands-on full-stack development across databases, backend, frontend, cloud infrastructure, and DevOps. It also champions AI-agent-assisted development by establishing workflows, guardrails, and quality standards. The engineer will mentor teammates, resolve technical blockers, improve reliability and documentation, and collaborate with technical, product, and research stakeholders.

Build and lead a scalable platform engineering function spanning CI/CD, infrastructure, observability, developer tooling, environments, and production operations. Develop internal tools, reusable automation, paved roads, and AI-assisted workflows that improve developer experience, delivery reliability, and engineering productivity. Partner across teams, guide architecture and standards, measure DORA and DX metrics, and shape the platform roadmap while providing hands-on technical leadership.