Problem Solving Data Mining Project Management Data Science Data Visualization Analytical Skills Statistical Modeling Artificial Intelligence (AI) Pattern Recognition Machine Learning
Our client is a Major European Bank, and this position is for a Quant Analyst / Data Scientist to join a cutting edge hub that supports the organisations Finance and Business divisions.
By utilising innovative machine learning and quantitative techniques, the team looks to increase efficiencies, predict behaviour and develop algorithms that help identify root cause issues, providing advice and suggesting modifications that can prevent losses and optimise performance.
If you are keen to use your quantitative modelling skills to derive actionable insights & advice using machine learning / quantitative techniques in combination this could be an excellent role that provides a wide range of issues and problems to solve,
You Must be able to:
Quantitative Credit Risk Model R SAS Python
Risk Models Quantitative Analyst Model Validation Quantitative Risk
Pricing Models Quant Modelling
Risk Models Pricing Quant Derivative Pricing Counterparty Credit Risk Models Stress Testing Models
Information Security Info Sec IT Risk Operational Resilience Cyber Risk PSD2 Payment Risk
Quant Credit Risk Rating Model modelling SAS R SQL Python Matlab
Due to reasons of confidentiality, there are additional mandates we are actively working on that are not advertised.
If you are currently working in one of our specialist areas and are keen to explore new opportunities,please reach out to one of our experienced consultants, discretion is assured and all communications will be strictly confidential.