Manager – Balance Sheet Management recruitment
The Role:
This Manager role is in the credit portfolio risk analytics space. This is a fairly quantitative role with previous experience of portfolio credit risk analytics and credit portfolio modelling in a credit portfolio management environment; also include experience in acquiring, specifying, transforming and loading data into portfolio credit risk models. Proven experience in RiskFrontier or similar model (CreditManager or other internal model) required.
KEY ACCOUNTABILITIES:
• Source and ensure Portfolio Credit Risk Models are appropriately populated with reliable and robust data.
• Assess Marginal Risk/Return contribution of origination to determine reward for credit risk consumed.
• Assess fit of origination with strategic B/S Risk Management goals, Target Portfolio Risk Return Profile and Risk Appetite.
• Provide Portfolio Risk-Return perspective direction and challenge on material credit products, markets and sectors.
• Apply portfolio analytics to identify Concentration Risk Spikes, Diversification Pockets, Best Worst Performers, opportunities for Risk-Return Optimisation and Risk Distribution.
• Apply portfolio analytics to determine Target Portfolio Risk-Return Profile and strategic B/S Management and Business goals.
• Assess impact of Change, Optimisation and Distribution scenarios on Portfolio Risk-Return profile.
KNOWLEDGE, EXPERIENCE AND SKILLS NEEDED:
• 3-5 yrs experience in Corporate Banking, with relevant product knowledge.
• Educated to degree level in a relevant discipline.
• Previous experience in credit portfolio risk analytics and credit risk modelling.
• Previous experience in using internal or external credit risk modelling applications (e.g. CreditManager, RiskFrontier) a distinct advantage.
• High level of portfolio risk analytics capability, and ability to draw insight from analytics outputs and apply to informing assessment of portfolio risk-return, and origination and optimisation decisions.
• Knowledge of credit risk and risk mitigation techniques, economic capital, and regulatory capital framework.
• Good banking and lending product knowledge including instruments used to achieve risk mitigation (CDS, securitisation, etc).
• High level of data extraction, manipulation, transformation and management skills, plus ability to specify data requirements to outside sources.