Risk Modelling Manager, AVP

As a Risk Modelling Manager, youll be integral in the design, development and maintenance of effective and compliant risk data and decision support models and related analytics. Youll be leading a team of highly technically skilled managers and data analysts, making sure that you support their ongoing coaching and development.

Youll also be:

• Drive and lead a team to work closely with stakeholders and Business Partner teams to identify data, reporting & any models related requirements and best practices where appropriate, of common methodologies, tools and techniques are business focused, consistent, and timely delivered ensuring appropriate control and governance
• Providing the business and other stakeholders with advice and support on model use, model impact and model implementation with responsibility to manage Cohort model data for Model development teams within the IRB world
• Supporting regulatory engagement and internal governance in relation to risk models data and model data frameworks providing data extraction, senior level advice across Models data/ reporting to draw out actionable insight or proposes corrective action to forum
• Supporting the business through developing and maintaining risk and decision-support models
• Providing actionable analysis and storyline MI on all aspects of model data. Strengthening the culture of continuous improvement by leading through example and encouraging idea generation through Workouts and Continuous Improvements approach
• Assisting your team manager with setting objectives for analytical resource and assessing performance

• We are looking for someone with a qualification in B.E, B.Tech, MBA or a similar degree and an experience of working in a modelling data analytics function or a related quantitative data analytics function, part of which is from a retail or wholesale banking environment.
• Youll also be qualified to degree level in a numerate discipline with a background in data driven analysis and statistical or mathematical analysis of data.

To be successful in this role, youll also need:

• Atleast eight years of experience on data preparation for models including time series, reporting techniques including credit risk data analyses and systems, understanding of overall risk concept and business
• Experience of the development and practical application of risk models data, including scoring and model monitoring analysis and experience in extensive banking and financial services
• Ability to make priority calls when there are conflicting deliveries and early escalation of problems
• A broad background of risk systems, methodologies and processes in a retail or wholesale bank environment
• Strong project management skills and the ability to work well as part of a team, sharing ideas and learning from others
• The ability to translate complex and statistical data techniques into simple, easily understood concepts, excellent problem-solving skills and the ability to identify alternative solutions