Overview
Key Duties (Including but not limited to):
1. Gather and interrogate data, management information (MI) to evaluate business profitability
2. Work with a variety of data sources to investigate emerging trends, risks, and opportunities
3. Evaluate the impact of strategic and tactical initiatives on business performance
4. Use latest machine learning techniques and models to develop an in-depth understanding of risks and dependencies
Qualifications required:
5. Graduate in a numerate subject such as mathematics, mathematics with actuarial studies, mathematics with finance or economics – preferred, but not essential
Experience required:
6. Demonstrable experience in a similar role or a relevant graduate scheme
7. Ability to exhibit extensive experience in Risk Modelling tools such as RADAR, AKUR8 or other machine learning platforms is essential
8. Experience of SAS Enterprise Guide, Power BI, VBA, SQL and Python
9. Knowledge and or experience of risk modelling, GLM and GBM tools