Barclays - Assistant Manager - Model Monitoring - Global Analytics Unit

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.

- 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 :

- Quickly understand the 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 analyze the impact they have on related portfolios

- Present monitoring analysis to the portfolio teams and various decision making committees and assist in the decision-making process

- Standardize & automate the monitoring packs using appropriate software and statistical programming languages e.g. SQL,SAS,R, Python etc.

- Drive and provide support in the monitoring governance activities like writing minutes of meetings, follow up to close action items etc.

Stakeholder Management and Leadership :

- Engage with on-shore partners and business heads to execute projects in line with business expectation

Decision-making and Problem Solving :

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

Person Specification :

Essential :

- Strong analytical, technical and/or statistical skills

- 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.)

- Good at carrying out statistical analysis using appropriate software and statistical programming languages e.g. SQL,SAS,R, Python

- Excellent written and verbal communication skills. Ability to articulate complex modeling metrics at various level

- Self-starter who can take initiative to automate the monitoring activity to the maximum level

Preferred :

- Knowledge of models and portfolio dynamics, impairment calculation

- Understanding of lending products from policy and P&L perspective

- A background in credit risk within a banking/consulting firm

Education :

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

Experience :

- Strong analytical background, data driven, results orientated