Manager, Wholesale Credit Model Validation recruitment

This role is to ensure that credit models in use are compliant with Basel II rules for A-IRB portfolios and to champion industry best practices. He/she will also represent Risk Analytics in expert panels and advise on risk measurement models methodologies throughout the Group.

RESPONSIBILITIES DELIVERABLES:

• Group role involving the review of PD, LGD and EAD models / model development across the Group for the wholesale bank
• Deliver potential solutions to issues raised during the model review process
• Support other areas of Risk Analytics
• Develop strong relationships with the businesses (Risk Management, Corporate Markets Credit Portfolio Analytics, Corporate Banking Division Modelling and Decision Analysis)
• Confidently interact with internal stakeholders; develop good understanding of business issues, and needs
• Assist in the creation of senior management reports (Regulatory, BIPRU US Final rules)
• Build the team’s reputation internally through participation in working groups and other forums

SKILLS EXPERIENCE:

• Good degree preferably in a quantitative or finance subject (e.g. maths, stats, economics - (PhD, Masters, MBA, CFA or FRM an advantage)
• Knowledge of a wide range of Wholesale products, including credit risk related products for loan book and trading book
• Minimum 3 to 5 years prior experience of development or review, validation implementation of analytical credit risk measurement tools
• Good understanding of Basel II requirements and the FSA
• Experience written verbal communications to senior management
• Appreciation of regulations for Advanced Internal Ratings Based models Basle II
• Able to undertake independent research on industry best practices

PERSON PROFILE:

• Strong analytical problem solving skills
• Very good communication skills, with the ability to explain complex analytical issues simply
• Strong abilities in Excel, PowerPoint, etc.

DESIRABLE SKILLS:

• Good working knowledge of SAS will be an advantage
• Previous experience of analytical software data mining techniques
• Knowledge of risk measurement models used in a large bank