Credit Modelling Analyst
2 weeks ago
Other duties may be assigned outside of the following duties and responsibilities:
We are looking for a talented IFRS 9 Credit Modelling Analyst to join our Credit team. You'll develop and maintain the models that drive our Expected Credit Loss (ECL) calculations for the Bank's inventory finance portfolio. This role combines financial analysis, data modelling, and regulatory insight ensuring our impairment models accurately reflect portfolio risk and business performance.
Key Responsibilities are
- Run the monthly ECL model calculation, ensuring that the data used in the calculation is accurate and any issues are
- Deliver monthly ECL results and insights for Finance and Risk reporting
- Produce initial version of monthly provisioning pack including updated movements between stages and take into monthly provisions meeting with Finance/Credit for challenge and discussion.
- Develop and maintain PD, LGD, and EAD models compliant with IFRS 9 standards
- Analyse dealer, collateral, and utilisation data to inform model design
- Apply lifetime loss and forward-looking methodologies using macroeconomic scenarios
- In line with the bank's model risk management policy, undertake model monitoring, back-testing, and validation of material credit models to ensure ongoing accuracy.
- Maintain robust model documentation and governance in line with regulatory expectations
- Collaborate with Finance, Credit, and Risk to enhance data quality and automation
- Own and maintain the integrity of the ECL model ensuring it operates as expected and within acceptable risk parameters
- Undertake the development, documentation and performance related assessment of credit models, ensuring that they have been built to be accurate and fit for purpose
- Maintain a model inventory for all credit models and submit regular updates to the Chief Lending Officer
- Support the Head of Lending Decisions to ensure strong model governance in the development, review and implementation of credit risk models, including more specifically IFRS models used in setting provisions and the development of a commercial scorecard
- Evaluate how credit portfolios perform under stress conditions, either as part of the annual ICAAP or as part of more regular stress testing and/or development of stress scenarios.
- Support the drive in continuous improvement through identifying and implementing ways to reduce / eliminate manual processes, minimise handoffs and increase levels of automated credit decisioning
Requirements
Must possess required proficiency to perform essential tasks.
At the very heart of every DF Capital employee is a shared identity and belief in what we are and what we do. It's about how we see ourselves and what is important to us. You will live our brand values. As such you will be an approachable, empathetic problem solver, with exemplary communications skills. You will avoid the use of unnecessary jargon and display an adaptable, "can-do" attitude.
The following skills and experience are required for this role:
- 5 years in credit modelling & analytics on SME portfolios with experience in one or more of the following areas: inventory financing, dealer stocking, leasing, asset finance, trade finance or ABL, including invoice finance
- Strong working knowledge of PD, LGD, EAD, ERM overlays and other IFRS9 related models used to calculate ECL
- Ability to analyse portfolio sensitivity to economic downturns using quantitative analysis and the associated impact on capital and provisions
- Ability to deliver against deadlines, articulate outputs from own analysis, recommendations and basis of decisions clearly and to a varied audience.
- Use of logistic regression and/or machine learning
About You
- Quantitative degree (Mathematics, Statistics, Economics, Data Science, Finance)
- Experience in credit risk or IFRS 9 ECL modelling within a financial institution
- Knowledge of secured or inventory finance lending
- Skilled in Python, R, SAS, or SQL for data and model development
- Strong analytical, documentation, and communication skills
Benefits
- Private medical insurance
- 10% Employer pension contribution
- Life Assurance
- Income Protection
- Generous 30-day annual leave entitlement (not including bank holidays)
- Discretionary bonus
- Free Gym Membership
- Vibrant office location in lively city centre
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