Key Responsibilities
• Partner with stakeholders including our sales team, relationship managers, traders and leadership to understand where AI can optimise our business.
• Define AI business requirements with tangible, measurable and commercial success criteria.
• Mine large sets of data to uncover trends, insights, and opportunities from multiple internal and external data sources.
• Enhance data collection methods through augmentation, normalisation, and outlier removal.
• Recommend appropriate AI solutions and train AI models.
• Deliver self-service dashboards to report on business use case and success criteria.
• Use data visualisation for predicted outputs and insights and to translate complete analytics into business language.
• Embed a framework of continuous monitoring to deployed models and solutions, for continuous enhancement.
Skills and Experience
- Experience and education in AI, Mathematics, Engineering, the Sciences, or related discipline.
- Predictive models, machine learning algorithms and large language models.
- Data visualisation tools, including Matplotlib, Plotly, Power BI and Tableau.
- Natural Language Processing (NLP).
- Python programming.
- Financial mathematics.
- Time series analysis.
- Data governance and management.
- AI regulatory compliance.
- AI techniques including quantum machine learning
- 3-6 years(overall experience)
- This is IC(Individual contributor) role.