Financial Modeller
Department: Finance
Employment Type: Full Time
Location: Manchester
Reporting To: Steve Brown
Description
As a Financial Modeller you will lead the development, enhancement and ongoing maintenance of the models underpinning Chetwood’s IFRS 9 expected credit loss framework. This includes core credit risk components such as Probability of Default, Exposure at Default, Loss Given Default and Significant Increase in Credit Risk. You will support the Head of Financial Modelling with the development and maintenance of a number of other key financial models used across the bank, including models supporting effective interest rate calculations, hedge effectiveness assessment and fair value measurement. You will collaborate with multiple teams across the organisation, particularly within Risk and Finance.
Key Responsibilities
- Development and ongoing validation for the suite of models used in the IFRS 9 ECL calculation.
- Ownership of monthly model monitoring for review by model governance committee, credit risk committee and board risk / audit committees.
- Maintaining oversight of all models as per the requirements set out in Chetwood’s model governance framework.
- Assist in the development and maintenance of financial models across the business.
- Support the build out of the credit and market risk models for Chetwood’s Wholesale portfolios.
- Support wider finance/risk projects, including financial planning and ICAAP.
- Assist in preparing materials and analysis for internal and external stakeholders.
Skills, Knowledge and Expertise
- 5 years+ of relevant experience (mortgages, financial Instruments preferred).
- Strong interest in credit risk with detailed knowledge of IFRS9 regulatory frameworks.
- Excellent analytical and quantitative skills.
- Proficiency with standard toolsets, in particular Python.
- Expertise in statistical modelling across the full life cycle of financial instruments using a range of platforms and algorithms.
- Candidates should be comfortable working with large datasets and using analytical programming tools such as Python and SQLto support model development and analysis.
- Numerate Degree e.g. bachelor’s degree in finance, Economics, Mathematics, Business, Physics or related fields.
Benefits
- Competitive salary
- 25 days holiday PLUS your BIRTHDAY off
- Pension contribution with Royal London
- Life Assurance
- Private medical, dental and optical health insurance with Axa
- Hybrid working
- Free breakfast available
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