Model Advisory & Management

Undisclosed; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Undisclosed seeks an experienced Model Advisory & Management expert for Corporate and Institutional Banking. You will collaborate with regional and global stakeholders to embed W-IRB models, drive risk-informed decisions, and enhance regulatory compliance within FI/NBFI portfolios.

You will lead knowledge transfer, develop user guides and FAQs, and push for efficiency gains across model inputs, outputs and usage rules in a global, matrixed environment.

Qualifications

• Demonstrable institutional client credit experience (FI/NBFI).
• Wholesale banking/wholesale credit risk experience with end-to-end credit process understanding.
• Strong working knowledge of W‑IRB models and how inputs/outputs are used across the lifecycle.
• Model advisory and implementation capability including change management and post‑implementation support.
• Analytical deep-dive skills across data, systems, process and controls; identify gaps and remediation.
• Policy, governance and control mindset to strengthen model usage and risk controls.
• Excellent stakeholder management and influencing across regions and functions.
• Clear, executive-ready communication to translate model topics into actionable guidance.
• Delivery leadership in a global, matrixed environment with multiple stakeholders.

Responsibilities

• Support end-to-end implementation of Wholesale IRB models into business processes.
• Identify improvements across model inputs, outputs, systems and processes to enable commercial efficiency.
• Embed W-IRB model knowledge via guides, factsheets and training for IC Group bankers and business credit officers.
• Identify incorrect model usage, set usage rules, and participate in remediation with control enhancements.
• Review internal credit risk policies for FI/NBFI risk rating and propose simplifications.
• Ideate AI use cases and develop tools to embed AI into team activities.
• Keep abreast of regulatory changes and assess impacts on strategy and outcomes.
• Create knowledge assets and deliver teach-ins on FI/NBFI models and risk rating.
• Act as SME to translate model outputs into underwriting, pricing, and portfolio decisions.
• Partner with treasury and markets to ensure consistent treatment of counterparty risk.

Skills

Institutional credit experience

Wholesale banking knowledge

W‑IRB models

Model advisory & implementation

Data & process analysis

Policy governance & controls

Stakeholder management

Executive communication

Delivery leadership

Job description

The role delivers an effective model advisory & management capability in Corporate and Institutional Banking (CIB) and sits in the Model Advisory & Management team under Credit and Capital Management. You’ll work with regional and global Business, Risk and Finance stakeholders across the model lifecycle to improve business and commercial efficiency, strengthen risk management and support effective regulatory compliance.

A core requirement is deep understanding of institutional counterparties—Financial Institutions (FIs) and Non‑Bank Financial Institutions (NBFIs)—and how Wholesale IRB (W‑IRB) model selection and outputs should be applied to these clients in credit decisioning.

Key Responsibilities

• Model Implementation: Support end-to-end implementation of Wholesale IRB (W-IRB) models into business processes, including change impact assessment and readiness activities, with a focus on institutional (FI/NBFI) portfolios.
• Model Outcome Optimisation: Identify and deliver improvements across model inputs, use of model outputs, systems and processes to enable commercial efficiency by performing fact-finding and deep dive reviews, including analysis of data to find gaps/exceptions.
• Model Training Programme: Embed W-IRB model knowledge into business users, including preparation of model user guides, factsheets and FAQs and delivering training to Institutional Client Group (ICG) Bankers, Business Credit Officer (BCO) and other users.
• Model Usage Review: Identify incorrect W-IRB model selection instances/practices, set the rules for correct model usage, and participate in remediation activities, including control improvements, with emphasis on institutional-specific model selection rules and edge cases.
• Credit Risk Policy Review: Review internal policies and practices relating to FI/NBFI risk rating, identify areas of simplification and gaps and create proposals for change.
• AI Adoption: Ideate use cases and develop tools, capabilities and prompt libraries to embed AI into the team’s activities to improve efficiency, speed and performance.
• Regulatory Landscape: Keep abreast of regulatory changes; assess impacts to CIB business, global/regional strategy, and business outcomes, relevant to FI/NBFI portfolios.
• Knowledge Assets: Create a repository and deliver teach-in sessions to expand the team’s knowledge on ICG and associated risk, application of FI/NBFI W-IRB models and risk rating assignment, and our bank’s counterparty credit risk to these clients.
• Model Advisory: Act as a technical and commercial subject matter expert, providing clear insights, guidance, and support on W-IRB model matters to a wide range of senior stakeholders across Business and Risk, translating model outputs into underwriting, pricing, and portfolio management actions for institutional counterparties.
• Counterparty Credit Risk: Partner with CIB Treasury and Markets & Securities Services (MSS) stakeholders where relevant to support consistent treatment of institutional counterparties across non-counterparty and counterparty credit risk.

Skills and Experience

Essential (must-have)

• Demonstrable institutional client credit experience (FI and/or NBFI) gained through coverage, credit risk or portfolio management, or FI/NBFI model development and support.
• Wholesale banking / wholesale credit risk experience (e.g., Coverage Banker, Debt Origination, Credit Risk, Portfolio Management, Finance or Credit & Capital Management) with a strong understanding of wholesale lending products, portfolio dynamics and end-to-end credit process.
• Strong working knowledge of W‑IRB models and how model inputs/outputs are used across the credit lifecycle (risk rating, origination/monitoring, RWA/capital, pricing, portfolio steering), with the ability to articulate commercial impacts and trade-offs, particularly for institutional counterparties.
• Model advisory and implementation capability: experience supporting the rollout/embedding of models or risk methodologies into business processes, including change impact assessment, readiness, adoption, and post-implementation deal‑level support.
• Analytical deep-dive skills: proven ability to diagnose issues across data, systems, process and controls, identify gaps/exceptions in model usage or outcomes, and drive remediation that improves capital efficiency and risk management.
• Policy, governance and control mindset: experience reviewing or operating within credit risk policies/standards; able to propose simplifications, close gaps, and strengthen controls to ensure correct model selection and usage.
• Excellent stakeholder management and influencing across Business, Risk and Finance, including confidence to challenge constructively and align senior stakeholders across regions and functions.
• Clear, executive-ready communication: strong written and verbal skills to structure recommendations, produce user-facing materials (guides/FAQs/factsheets), and translate technical model topics into simple, decision-ready messages.
• Delivery leadership: strong prioritisation, planning and execution skills; track record of delivering outcomes at pace in a global, matrixed environment with multiple stakeholders and dependencies.

Preferred (nice-to-have)

• Understanding of market products and counterparty credit risk (CCR) concepts and how they interact with institutional client risk assessment.
• Regulatory and supervisory awareness relevant to IRB/model risk and wholesale credit, with ability to assess impacts and translate into business actions.
• AI/GenAI adoption experience: building practical tools, prompt libraries or workflow automation to improve team productivity, with appropriate risk and control considerations.
• Exposure to economic capital and/or climate risk data & modelling, and interest in building reusable knowledge assets and running teach-ins.