Credit Model Monitoring | Quant
Job Duties:
Role will require closely working with the Enterprise Risk Analytics (ERA) team of our client (a large bank) which is responsible for developing and managing wholesale and retail IRB, IFRS 9 and stress testing credit risk models.
- Key responsibilities include helping the bank with various aspects of the model development, model monitoring and enterprise risk analytics
- Monitor credit risk IRB and IFRS9 models for the measurement of PD, EAD and LGD for the bank's wholesale retail portfolios.
- Ensure the monitoring process and models comply with the Bank's Model Risk Policy and Model Family Standards and results.
- Work on the end-to-end model monitoring (PD, EAD, LGD) cycle, from data gathering and cleansing to the documentation and presentations to key stakeholders.
- Develop summaries and documentation for PRA regulatory submissions.
Qualification: Masters /MBA degree in a quantitative discipline - Mathematics, Statistics, Economics, Physics, Financial Engineering, Finance. PhD will be a plus.
Skills Required:- Experience in model documentation, development, model validation or stress-testing
- Strong experience in end-to-end model monitoring (PD, EAD, and LGD) cycle, from data gathering and cleansing to the documentation and presentations to key stakeholders
- Excellent knowledge of regulatory and risk management guidelines (e.g.
Basel, EBA guidelines,
IFRS9, Stress Testing, ECL etc.)
- Experience and ability for analysing data and developing statistical predictive models.
- Strong programming experience in more than one of the following - SAS, Python, R
- Excellent communication skills, both written and oral
- Analytical, Strategic and Conceptual thinking and Problem-solving skills
- Highly motivated, organized, attentive to details