Model Risk Manager recruitment
Firm-wide Risk Methodology is a global team of highly skilled, technical derivatives professionals responsible for the development and independent validation of methodologies for evaluating market and credit risk, together with the validation of models used for valuation and risk quantification across the bank. Furthermore, Firm-wide Risk Methodology is also responsible for ensuring regulatory compliance on quantitative aspects of valuation and risk.
The Model Risk Management team runs control processes and governance activities within Firm-wide Risk Methodology (including regulatory liaison) and is responsible for the delivery of a set of diverse projects relating on subjects including:
• Model risk quantification – an activity performed in close collaboration with other teams within Firm-wide Risk Methodology
• Setup of automated control processes for valuation models with Front Office Quants
• Coordination of deliverables for regulatory approval of specific risk control systems
The activities are done in close collaboration with teams across the bank, from Model Verification teams on the Risk Control side, FO Quantitative analysts and IT teams. Many of the projects require in-depth knowledge of models used for valuation or risk control purposes.
The Role
This role will be focused on the methodology related projects within Firm-wide Risk Methodology. The work will focus on more than one particular project at a time and requires the ability to work independently and be able to keep to predefined timelines without close supervision. Most processes and deliverables have regulatory impact – the ability to communicate structured information to both internal and external stakeholders is therefore highly important.
The successful candidate will be expected to work closely with the other members in the team to develop and deliver solutions, and to provide analysis of a consistently high quality. In addition they will need to work closely with other groups within Risk Control, centralised Group Functions and other areas within the bank.
Key Skills Required
- Master’s or PhD degree in a numerical discipline
- Ability to apply techniques from numerical analysis, statistics, and financial mathematics to solve practical problems
- Cooperative and team-orientated, while able to complete tasks independently with a high quality standard
- Experience with large data sets, and knowledge of regulatory practice would be desirable Client
- Strong written and interpersonal communication skills
- Self-motivated, flexible, thorough and responds well to pressure
- Ability to adhere to tight deadlines and meet client needs
- Thorough but pragmatic work style, demonstrating diligence and attention to detail
- Personal integrity, given the criticality and sensitivity of the materials involved
Education / Experience:
- Possible backgrounds include mathematics, science, engineering
- Financial Services or Investment banking experience
- Experience in the Credit Risk area of advantage
- Experience in Risk Management
- Experience with industry and regulatory issues