Analyze complex datasets by working with large volumes of trading data to identify trends, patterns, and insights that help commercial team to drive strategic decisions.
Support predictive modeling by collaborating on the development of machine learning models to forecast financial outcomes and optimize business processes.
Develop data-driven solutions. Create algorithms and tools that automate and enhance decision-making across the company.
Work with cross-functional teams, i.e. finance, trading teams, IT to align data science initiatives with business goals and to validate findings
Visualize data insights by building and maintaining interactive dashboards and reports that provide clear and informative insights for stakeholders.
Bachelor’s degree in Statistics/ Mathematics/ Computer Science/ Engineering or related fields from a recognised university
Proficient in programming languages (E.g. Python, SQL) for data analysis, manipulation, and modeling.
Familiarity with predictive modeling techniques and algorithms (e.g. NLP, LLM's, Time Series Forecasting).
Experience with data visualization tools (E.g. Tableau/Power BI/ Microsoft Excel Whizz etc.)
Highly organized, analytical, detail-oriented with business acumen.
Ability to work independently
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