Deloitte Strategy, Risk & Transaction helps entities mitigate risk while discovering new opportunities to create value. Our end-to-end risk services span all domains, from managing strategic risks in the C-Suite to improving board oversight, and from balancing financial and environmental policies to addressing cyber threats. Learn more about Risk, Regulatory & Forensic)
Your work profile
Perform independent validation of Advanced IRB / Foundation IRB models including:
PD, LGD, EAD, and CCF modelling methodologies
Rating system design and performance
RWA attribution and capital impact assessment
Assess model methodologies and assumptions for diverse wholesale product exposures including:
Corporate and SME lending (term loans, revolving credit, working capital facilities)
Project and infrastructure finance
Financial institutions & sovereign portfolios
Commercial Real Estate (CRE) and income-producing real estate
Trade finance, supply chain, and asset-based lending
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Evaluate model conceptual soundness, data representativeness, risk differentiation, and calibration methodology
- Review and challenge:
Model segmentation, overrides, downturn calibration, and economic cycle considerations
Treatment of collateral, guarantees, credit mitigants, and default definitions
Regulatory compliance with Basel III/IV IRB requirements and regional supervisory rules
- Conduct model performance testing including:
Discriminatory power, back-testing, stability monitoring, sensitivity, and benchmarking
Prepare high-quality validation documentation with clear findings, limitations, and remediation actions
Support regulatory engagements, addressing model findings, remediation evidence, and audit requests
Partner with Model Development, Credit Policy, Data Governance, and Capital Management teams to ensure models are fit-for-purpose and well-controlled
Key skills required:
Experience with Corporate lending, project finance, commercial real estate, private equity exposures
Stress testing frameworks (CCAR/ICAAP) and IRB-to-IFRS 9 model linkages
Regulatory interactions with PRA, ECB, Fed/OCC, OSFI, etc.
Ability to articulate quantitative findings to non-technical senior stakeholders
Core Competencies
Effective challenge and independent risk oversight mindset
High attention to detail and documentation discipline
Stakeholder influencing and relationship management
Ability to manage multiple validations under tight timelines
Desired qualifications
Experience in modelling or validation of Wholesale IRB capital models, IFRS9, Climate Risk Modelling experience within large banking organizations
Strong technical skills in Python, R, SAS, SQL and knowledge of credit modelling statistics
- Deep knowledge of:
IRB rating system architecture and approvals
Basel III/IV capital rules for wholesale credit
Model risk governance expectations (e.g., SR 11-7)
Strong analytical judgment and written communication skills
Desired qualifications Master’s degree or higher in Quantitative Finance, Statistics, Mathematics, Engineering, or related field
4 to 6 years of experience in modelling or validation of Wholesale IRB capital models, IFRS9, Climate Risk Modelling experience within large banking organizations
Strong technical skills in Python, R, SAS, SQL and knowledge of credit modelling statistics
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