Vice President-QA Model Monitoring

Embark on a transformative journey as 'Vice President-QA Model Monitoring' at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences.

Candidates will be evaluated on critical success factors for the VP - Model Monitoring role, including Versatility in coding practices, Strong grasp of credit risk model architecture and Specialized skills aligned with model governance and analytics.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

To be successful in this role as a 'Vice President-QA Model Monitoring', you should possess the following skillsets :

• Knowledge of various statistical techniques used in analytics (regression, time series, cluster analysis, machine learning algorithms etc.)
• Good at carrying out statistical analysis using appropriate software and statistical programming languages e.g. Excel, SQL, R, SAS, Python etc.
• Excellent written and verbal communication skills. Ability to articulate complex analytical problems and solutions at various levels

Some Other Highly Valued Skills Include

This role is based in our Noida office.

Purpose of the role

To design, build, produce, and analyse regular model monitoring reports to assess if the models remain fit for their intended use.

Accountabilities

Vice President Expectations

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Skills Required

Regression, Statistical Techniques, Sas, Time Series, Excel, Cluster Analysis, Python, Sql, Machine Learning Algorithms