The primary purpose of a Credit Risk Analyst is to be responsible for performing data analysis, forecasting and predictive modeling in support of one or more Credit Risk disciplines which focus on the different functions within the credit cycle.
Work Product: (55%) Structuring and executing research and analysis into competitive ideas, market research, past test results. Provide a role model for the standard of analysis. Work with other team members to drive business action based on your results.
Test & Learn: (30%) Co-ordination of test/roll-forward analysis with other parts of the business: e.g. Finance, Forecasting and Modelling, Marketing. Facilitate working meetings, prepare and presentation of discussion material. Resolution of issues with other parts of the business.
Planning & Organizing: (10%) Structuring work within the project team – sometimes structuring work for the Analyst / Marketer, generating ideas on what to test, how to measure results, interpreting results. Provide project direction to other team members as appropriate.
Communication: (5%) Structuring and executing research and analysis into competitive ideas, market research, past test results, data requirements. Communicate analytic results to both technical and non-technical audiences
3-5 years practical experience of using analytics to solve complex business problems and project management experience.
Proficiency in performing data analysis utilizing a standard statistical package such as SAS (preferred) or SPSS.
2 years of experience in the financial industry.
Completion of a degree in statistics, mathematics, operations research or other numerate subject. While a Masters degree is preferred, candidates with a relevant undergraduate degree and who are qualified through work experience will also be considered.
Self-starter, able to work on own initiative who naturally assumes ownership of initiatives
•Communication and persuasion skills with the ability to think quickly and package ideas and results in a logical, understandable and compelling way to both technical and non-technical audiences
Ability to assimilate new information and quickly adapt new environment.
The ability to understand, undertake and commission complex analysis to support strategy testing.
Passionate about data analysis, how this contributes to the business and adding value to the business through the production of empirically sounding policies and approaches.