

Rothstein Recruitment
Model Risk Management Senior Analyst – Validation - Policy & Frameworks - Banking
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Model Risk Management Senior Analyst – Validation - Policy & Frameworks in Banking, offering a contract length of "unknown" and a pay rate of "unknown." Key skills required include model validation, quantitative analysis, and familiarity with SAS, Python, or R.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 30, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Mathematics #R #Python #Statistics #Compliance #Scala #Programming #Data Science #Model Validation #SAS #SQL (Structured Query Language) #Alation #Monitoring
Role description
Model Risk Management Senior Analyst – Validation - Policy & Frameworks - Banking
Excellent opportunity opens for a skilled Model Risk Management professional with excellent Policy & Framework and Model Validation experience to join a Growing Bank’s Model Risk Management team.
The Model Risk Management (MRM) team are responsible for the design and maintenance of the Bank's Model Risk Management policy and framework, ensuring comprehensive model governance and carrying out model validations and reviews across all the Banks models. The successful candidate will contribute to the independent review and validation of regulatory and non-regulatory models and ensuring that efficient model risk management (governance, model inventory management, recommendations, and action plans, among other responsibilities) is being applied in line with the MRM principles outlined in SS1/23.
You will collaborate with the quantitative risk team on the yearly ICAAP, stress test framework and stress test execution across ICAAP, ILAAP and RRP, model support, quantitative risk analytics across all risk classes and IRB implementation.
Responsibilities
• Operates in line with the Bank's Risk Management Framework (including sub-frameworks) and relevant risk and compliance policies and procedures, ensuring appropriate and timely escalation of any concerns to their line manager;
• Perform independent model validations (or annual model reviews) across a variety of models held in the Banks model inventory. These include stochastic models (IRB and non-IRB) and non-models (also known as deterministic quantitative methods);
• Carry out model validation of models used for other regulatory purposes such as ICAAP and ILAAP;
• Continue to embed the Model Risk Management Framework, including model identification process, attestation, validation, and monitoring. This also includes identifying further areas of non-compliance to SS1/23;
• Participate in the identification and assessment of the Bank's key model risks. Ensure model risks with the Bank are effectively identified, measured, monitored and controlled, consistent with the Bank's risk appetite statement and all policies and processes;
• Assist in ensuring that MRM policies, frameworks and instructions are kept up to date and reviewed periodically by relevant governance committees;
• Present validation and review work performed at the monthly Model Oversight Committee (MOC);
• Report on model risk related matters to the Head of MRM management and participate in discussions with relevant stakeholders (such as model developers, model owners, users, etc.);
• Keep up to date and act upon regulatory developments and industry best practise in areas related to model risk;
• Communicate the results of model validation activities, model limitations and uncertainties to the key stakeholders and management.
Experience
• Some relevant experience in financial services, ideally with exposure to model risk, quantitative analysis, or regulatory frameworks. Prior involvement in IRB or other model-related work is beneficial but not essential;
• A basic understanding of IRB regulation (CRR, EBA, PRA) and an interest in developing knowledge of regulatory guidelines and industry best practices for model risk management (e.g., SR11-7, SS1/23, SS3/18);
• Strong analytical and numerical skills, with a willingness to learn and apply quantitative techniques;
• Educated to degree level in a numerate discipline such as statistics, mathematics, data science, or engineering;
• Familiarity with one or more statistical or data programming tools (e.g., SAS, Python, SOL, R) is desirable, with a willingness to develop technical skills further;
• A proactive attitude and a willingness to take initiative under guidance;
• Commitment to delivering high-quality work and attention to detail;
• Ability to communicate clearly and concisely, both verbally and in writing, with support from senior colleagues where needed;
• A collaborative mindset and strong team-working skills;
• Ability to engage effectively with stakeholders and contribute to discussions;
• Organised and adaptable, with the ability to manage tasks in a structured but flexible manner.
Interested? Please Apply!
Bank Banking Finance Model Risk Model Validation Model Analyst Risk Model Analyst Quantitative Risk Management MRM Policies Frameworks IRB Regulations SAS Python SQL R
Model Risk Management Senior Analyst – Validation - Policy & Frameworks - Banking
Excellent opportunity opens for a skilled Model Risk Management professional with excellent Policy & Framework and Model Validation experience to join a Growing Bank’s Model Risk Management team.
The Model Risk Management (MRM) team are responsible for the design and maintenance of the Bank's Model Risk Management policy and framework, ensuring comprehensive model governance and carrying out model validations and reviews across all the Banks models. The successful candidate will contribute to the independent review and validation of regulatory and non-regulatory models and ensuring that efficient model risk management (governance, model inventory management, recommendations, and action plans, among other responsibilities) is being applied in line with the MRM principles outlined in SS1/23.
You will collaborate with the quantitative risk team on the yearly ICAAP, stress test framework and stress test execution across ICAAP, ILAAP and RRP, model support, quantitative risk analytics across all risk classes and IRB implementation.
Responsibilities
• Operates in line with the Bank's Risk Management Framework (including sub-frameworks) and relevant risk and compliance policies and procedures, ensuring appropriate and timely escalation of any concerns to their line manager;
• Perform independent model validations (or annual model reviews) across a variety of models held in the Banks model inventory. These include stochastic models (IRB and non-IRB) and non-models (also known as deterministic quantitative methods);
• Carry out model validation of models used for other regulatory purposes such as ICAAP and ILAAP;
• Continue to embed the Model Risk Management Framework, including model identification process, attestation, validation, and monitoring. This also includes identifying further areas of non-compliance to SS1/23;
• Participate in the identification and assessment of the Bank's key model risks. Ensure model risks with the Bank are effectively identified, measured, monitored and controlled, consistent with the Bank's risk appetite statement and all policies and processes;
• Assist in ensuring that MRM policies, frameworks and instructions are kept up to date and reviewed periodically by relevant governance committees;
• Present validation and review work performed at the monthly Model Oversight Committee (MOC);
• Report on model risk related matters to the Head of MRM management and participate in discussions with relevant stakeholders (such as model developers, model owners, users, etc.);
• Keep up to date and act upon regulatory developments and industry best practise in areas related to model risk;
• Communicate the results of model validation activities, model limitations and uncertainties to the key stakeholders and management.
Experience
• Some relevant experience in financial services, ideally with exposure to model risk, quantitative analysis, or regulatory frameworks. Prior involvement in IRB or other model-related work is beneficial but not essential;
• A basic understanding of IRB regulation (CRR, EBA, PRA) and an interest in developing knowledge of regulatory guidelines and industry best practices for model risk management (e.g., SR11-7, SS1/23, SS3/18);
• Strong analytical and numerical skills, with a willingness to learn and apply quantitative techniques;
• Educated to degree level in a numerate discipline such as statistics, mathematics, data science, or engineering;
• Familiarity with one or more statistical or data programming tools (e.g., SAS, Python, SOL, R) is desirable, with a willingness to develop technical skills further;
• A proactive attitude and a willingness to take initiative under guidance;
• Commitment to delivering high-quality work and attention to detail;
• Ability to communicate clearly and concisely, both verbally and in writing, with support from senior colleagues where needed;
• A collaborative mindset and strong team-working skills;
• Ability to engage effectively with stakeholders and contribute to discussions;
• Organised and adaptable, with the ability to manage tasks in a structured but flexible manner.
Interested? Please Apply!
Bank Banking Finance Model Risk Model Validation Model Analyst Risk Model Analyst Quantitative Risk Management MRM Policies Frameworks IRB Regulations SAS Python SQL R






