Credit Risk Modelling Manager

Campion Pickworth; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

An established bank in London is seeking a Credit Risk Modelling Manager to oversee the management and development of IFRS9 credit risk models. The role requires knowledge of statistical techniques and experience in banking model development. Key responsibilities include ensuring compliance with regulatory standards, delivering model monitoring, and implementing improvements in processes. A degree in a numerate subject and experience with modeling software like SAS, Python, or R are essential. This position offers hybrid working arrangements.

Qualifications

• Degree in a numerate subject with knowledge of advanced statistical and analytical techniques.
• Experience in the development of IFRS9 credit risk models in banking.
• Knowledge of credit risk management techniques.

Responsibilities

• Design, develop, implement and maintain IFRS9 Credit Risk models.
• Take ownership of individual model development and maintenance tasks.
• Deliver quarterly model monitoring and investigate performance concerns.
• Identify and implement improvements in technical developments.

Skills

Statistical and analytical techniques

Credit risk management

Data extraction and manipulation

Modeling software tools (SAS, Python, R)

Education

Degree in a numerate subject

Tools

SAS

Python

R

Job description

About the job Credit Risk Modelling Manager

Our client, an established bank, is looking to recruit a Credit Risk Modelling Manager within their London office, with hybrid working. The role will involve managing existing statistical models, developing new models, understanding new and existing data sources and ensuring model compliance against regulatory standards.

Role Responsibilities:

• Playing a key role in the design, development, implementation and maintenance of IFRS9 Credit Risk models
• Taking ownership for the delivery of individual model development and maintenance tasks
• Delivering quarterly model monitoring to ensure accurate quality assessment of performance and investigating any key areas of concern
• Challenging existing processes and pro-actively identifying and implementing improvements in all areas of phases of technical developments
• Ensuring that all Governance and Compliance requirements are adhered to
• Ensuring that all credit modelling activity meets best practice, policies, standards and where appropriate, ensure compliance with PRA and other regulations

Qualifications and Experience Required:

• A degree in a numerate subject with knowledge of advanced statistical and analytical techniques
• Experience in the development of IFRS9 credit risk models in banking, ideally including scorecards or PD/EAD/LGD models
• Knowledge of credit risk management techniques
• Experienced in the extraction and manipulation of data to support risk model development and modelling software tools (e.g. SAS, Python, R) for developing predictive model suites