Our Data Scientists use their domain expertise to identify where AI can speed up operations, reduce costs, increase productivity, personalize the client experience; and build and deploy AI models. We’re looking for brilliant minds who are intellectually curious, analytical and willing to learn, with a numerate background in AI, mathematics, engineering, sciences or related disciplines.
Our Data Scientists use their domain expertise to identify where Artificial Intelligence (AI) can speed up operations, reduce costs, increase productivity and personalize client experiences. We’re looking for brilliant minds who are intellectually curious, analytical and love to learn.
Key Responsibilities
- Partner with stakeholders including our sales team, relationship managers, traders and leadership to understand where AI can optimize 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, normalization, 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 visualization 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.
- Experience and education in AI, Mathematics, Engineering, the Sciences, or related discipline.
- Predictive models, machine learning algorithms and large language models.
- Data visualization 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.
