A Data Scientist is required by a global banking organisation to assist on the build out of a complex risk analytics platform.
The successful individual will possess a background in statistical modelling, quantitative analytics, experimental design, time series analysis and data processing.
A proven background of building, testing and deploying tools and APIs into production for reporting and data integration is essential.
Technical skills will include Python, R, Kubernetes, Big Data Infrastructure and Cloud knowledge.
Excellent communication skills and the ability to interact with business stakeholders (risk, quants, front office) as well as technical teams is critical.
The project will commence middle of Jan 2020. Initially 3-6 months. Outside IR35.
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.