Credit Risk Manager - IFRS 9

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

Job summary

A well-established Corporate bank in London is looking for a Credit Risk Manager specializing in IFRS 9. This role includes responsibilities such as producing expected losses, enhancing management information, and streamlining reporting processes. The ideal candidate should possess strong knowledge of IFRS 9 models and programming skills in SAS, SQL, and Python. This position offers a chance to grow your career while interacting with senior leadership, all within a hybrid working environment.

Qualifications

• Significant experience with SAS, including macros and scoring engines.
• Experience implementing models into Live within strict change-control.
• Strong mathematical and statistical knowledge.

Responsibilities

• Lead production of IFRS 9 expected losses and provide analysis.
• Enhance management information packs for insights.
• Streamline monthly reporting process for accuracy.

Skills

IFRS 9 model requirements understanding

SAS programming

Statistical modelling techniques

Data mining

Excellent written and presentational skills

Tools

SAS

SQL

R

Python

MS Office (Excel, Power BI, Powerpoint, Word)

Job description

About the job Credit Risk Manager - IFRS 9

Our client, a well-established Corporate bank, is looking to recruit a Credit Risk Manager for IFRS 9 in their London office, with hybrid working. You will be reporting to the Head of Credit Risk, and lead the production of IFRS 9 expected losses, including analysis and explanation of key drivers. This will give you the opportunity to develop your career at a growing bank in a highly visible role interacting with the senior leadership team.

Role Responsibilities:

• Responsibility for the ongoing production of IFRS 9 expected losses, including analysis and explanation of key drivers.
• Enhancing IFRS 9 management information packs to provide insight and drive recommendations.
• Working to streamline the monthly reporting process to promote accuracy and timeliness.
• Supporting the validation and audit of models and the associated model lifecycle.
• Responsibility for the implementation of newly developed second generation IFRS 9 models and changes and enhancements to the existing model suites.
• Maintenance and continuous improvement of an appropriate data structure to deliver efficient and effective model risk management.
• Supporting the development of the bank's second generation IFRS 9 models.

Qualifications/Experience required:

• Strong understanding of IFRS 9 model requirements and model development experience.
• Significant experience of using SAS (macros, arrays, scoring / simulation engines); knowledge of other programming languages will be advantageous (SQL, R, Python, etc.).
• Experience implementing new models into Live within a strict change-control environment.
• An understanding of Credit Risk and techniques used to develop Credit Risk Models.
• Strong mathematical and statistical background and knowledge of statistical modelling techniques.
• Excellent written and presentational skills.
• Experience of data mining.
• Advanced knowledge of MS Office suite (Excel, Power BI, Powerpoint, Word).
• Experience of analysing SME credit and experience in a credit risk reporting role would be advantageous.