Credit Risk Sme - Data Analyst – Python – Investment Banking

You will be responsible for identifying data sources, gathering business and data requirements for PD, LGD and CFF data, utilising key data sets for reference, product and counterparty data, as well as collateral, exposures and cashflow data.
You should apply for this role if you are/have: 7+  years financial markets experience with deep understanding of credit risk modelling Structured data analysis experience; technical skills in Excel, Python and SQL Solid understanding of traded and banking product Strong understanding of data processes and controls in risk, finance, treasury, and/or operations Excellent communication and stakeholder engagement skills This is a day rate up to £592/day (including holiday pay).
Initially for six months.