Senior AI/Analytics Engineer – CTT

Senior Quantitative AI Analytics Specialist creating and applying quantitative models and analytics for pricing, risk, portfolio and strategic decision making. Leading end to end operationalisation of ML + GenAI analytics and delivering analytics that are reliable, scalable, governed in production.

Requirements

• Model lifecycle: design → build → validate → release → monitor → retire.
• Production controls: versioning, reproducibility, audit trails, change management.
• Deliver analytics that are reliable, scalable, governed in production.
• Maintain WIB CTT ownership boundary, use cases, artefacts, and outcomes (models, evals, dashboards, decision integrations) for our line of business.
• Strong modelling depth across classical machine learning used in production decisioning, including forecasting, optimisation, anomaly detection and risk models, with a practical understanding of real‐world trade‐offs.
• Comfortable partnering with traders/risk, producing decision relevant analytics.
• Deep GenAI engineering experience, including designing and selecting RAG architectures (hybrid retrieval, re‐ranking, metadata strategies).
• Building robust evaluation frameworks covering coverage, failure modes, calibration, drift and regression.
• Implementing safety patterns such as grounding, clear refusal boundaries, deterministic fallbacks and strong auditability.
• The ability to set technical standards and lead complex quantitative and AI initiatives end to end.
• A genuine interest in teaching, mentoring and developing junior team members.

Benefits

• Generous employee-only mortgage rates
• Flexible work arrangements
• Culture, Lifestyle and Wellbeing leave
• Tailored learning and development opportunities