Risk Management: Establish and refine risk assessment frameworks. Monitor trading risks in real time to safeguard user assets, and develop contingency plans for market volatility and system anomalies.
Support external engagements, including industry events, partner/client meetings, and training sessions; responsibilities will include co-developing and delivering training programs and supporting the creation of product focused materials.
AI and machine-learning product development: Partner with data scientists and engineers to define problems, hypotheses, data requirements and evaluation criteria, translating model capabilities into valuable customer experiences
Prioritize the platform for collection, annotation, labeling, quality assurance, and delivery. Partner with Engineering and Data Science to turn model feedback into improved data and workflows; leverage AI tools where they enhance research and execution.
Lead the rollout and implementation of the CDSS, working closely with government and policy stakeholders to drive adoption, resolve implementation considerations and plan subsequent delivery phases.
Own the product roadmap, feature prioritisation and lifecycle management of the AI Studio platform, ensuring alignment with business, customer and digital transformation objectives.
Decide product priorities within agreed goals and capacity. Resolve competing requests across teams and escalate decisions that need wider funding or policy changes.