Barclays - Model Monitoring/Validations Role - Global Analytics Unit

Model Monitoring / Validations : Must have experience in developing & validating models like Credit risk Models,PD,LGDs, strong experience in SAS and sql coding.

About Global Analytics Unit :

Global Analytics Unit (GAU) is responsible to provide analytics support to various Barclays clusters. Analytics support includes Model Development, Model Validation, Model Monitoring, Strategy Development, MI and Data Management support and development and maintenance of Risk Tool.

Our Analytics professional have advanced technical skills across a broad range of disciplines. They scientifically process and transform data into insight for making measured decisions.

About Model Monitoring :

Model Monitoring acts as one of the primary ways to mitigate Model Risk by highlighting areas of sub-optimal performance and by proposing effective remediation plan for models in use by business. Model Risk is the potential for adverse consequences (e.g. financial loss, reputational impact, regulatory censure etc.) from decisions based on incorrect or misused model outputs and reports. This can arise from fundamental model weaknesses leading to inaccurate outputs, errors in implementation, or incorrect/inappropriate use. Monitoring team periodically evaluate model performance. Monitoring findings help business to decide upon the further uses of the model in order to Continue, Adjust and then Continue or discontinue and Rebuild the Model.

Overall purpose of role :

Monitoring and Analysis of Decision, Impairment and Basel suite of models across banking portfolios including Mortgage, Cards, Loans, SME etc.

Documentation of monitoring reports as per the standard guidelines and presentation of the same to various decision making committees

Drive and provide support in the Model Management decision making, model improvements and governance activities

Key Accountabilities and Skills required :

Key specific accountabilities :

Perform regular/annual review of credit risk models (capital, impairment, application, behaviour) used across Barclays business

Ensure adherence to model review calendar and governance

Present reports to monitoring review committee (comprises of senior managements from Development, Monitoring, Strategy, Capital/Impairment and Model Owners) for formal review and sign-off

Perform additional deep dive and ad-hoc analysis if requirement arises

Act as an interface with the stakeholders to identify and resolve action items

Identify process improvement opportunities through innovative techniques of analysis/automation

Stakeholder management and leadership :

Ensure open, transparent, proactive and timely interaction with major stakeholders (subject matter experts, model owners/developers, portfolio/capital/data management team) in alignment with Barclays Values and Behaviour principles

Establish and maintain effective working relationships with key stakeholders across businesses served

Decision making and problem solving :

Quickly understand construct of various credit risk models and produce timely and accurate model monitoring packs

Interpret various metrics and trends present in the model monitoring packs and analyse the impact they have on related portfolios

Provide recommendations based on model monitoring findings in terms of model issues, need for rebuild / calibration, or PMA

Perform additional deep dive and ad hoc analysis if requirement arises

Risk and Control :

All Barclays colleagues have to ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards

Your Skills and Qualifications will include :

Knowledge of Operating Systems (Windows 7/10)

MS Office Skills (Preferably Word, Excel & PowerPoint)

Knowledge of SAS, SQL, Visual Basic and other statistical programming languages

Strong understanding of model monitoring or portfolio MIS activity

Basic understanding of banking products and lending procedures

Knowledge of credit risk models and their usage in the Banking environment

Knowledge of various statistical techniques used in analytics (regression, time series, cluster analysis etc.)

Education :

Masters in Statistics, Mathematics, Economics, operational research field, CA, Engineer, MBA

Experience :

Essential - Should have relevant experience in analytical industry

Preferred - Experience in a modeller role in the financial services industry