Model Risk Management Senior Analyst – Validation - Policy & Frameworks - Banking

Model Risk Management Senior Analyst – Validation - Policy & Frameworks - Banking

Posted Today by Rothstein Recruitment

Negotiable
Undetermined
Undetermined
London Area, United Kingdom

Summary: The Model Risk Management Senior Analyst will play a crucial role in the Model Risk Management team of a growing bank, focusing on policy and framework development as well as model validation. This position involves independent reviews of regulatory and non-regulatory models, ensuring compliance with established governance principles. The successful candidate will collaborate with quantitative risk teams on various risk assessments and model support initiatives. Strong analytical skills and a background in financial services are essential for this role.

Key Responsibilities:

  • Operate in line with the Bank's Risk Management Framework and relevant policies, ensuring timely escalation of concerns.
  • Perform independent model validations and annual reviews across various models in the Bank's inventory.
  • Carry out model validation for regulatory purposes such as ICAAP and ILAAP.
  • Embed the Model Risk Management Framework, including model identification and monitoring processes.
  • Identify and assess the Bank's key model risks, ensuring effective management consistent with risk appetite.
  • Assist in keeping MRM policies and frameworks up to date, reviewed by governance committees.
  • Present validation work at the monthly Model Oversight Committee.
  • Report on model risk matters to the Head of MRM and engage with stakeholders.
  • Stay updated on regulatory developments and industry best practices related to model risk.
  • Communicate results of model validation activities and limitations to stakeholders and management.

Key Skills:

  • Relevant experience in financial services, with exposure to model risk or quantitative analysis.
  • Basic understanding of IRB regulation and interest in regulatory guidelines for model risk management.
  • Strong analytical and numerical skills, with a willingness to learn quantitative techniques.
  • Degree in a numerate discipline such as statistics, mathematics, data science, or engineering.
  • Familiarity with statistical or data programming tools (e.g., SAS, Python, SQL, R) is desirable.
  • Proactive attitude and willingness to take initiative under guidance.
  • Commitment to high-quality work and attention to detail.
  • Clear and concise communication skills, both verbally and in writing.
  • Collaborative mindset and strong team-working skills.
  • Organised and adaptable, with the ability to manage tasks flexibly.

Salary (Rate): undetermined

City: London Area

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Finance

Detailed Description From Employer:

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