VP - Risk Model - BFSI

Role Summary :

- This opportunity is for individuals with proven expertise in modeling of risk and valuation in financial services to join a newly established Model Risk Audit team within Internal Audit which is responsible for delivering independent assurance over model risks globally.

- The reach of the team extends to all functions of the bank (including risk management, pricing/valuation, capital, and other business decision making models).

- We are seeking candidates who will be responsible for the performance of audit projects to review model development and validation processes.

- The successful candidate will be expected to perform audit procedures covering the end to end model development and validation process, including : review and testing of model design, implementation, application, validation and governance processes.

- Successful candidates will be expected to build relationships with key stakeholders, keep up to date with emerging best practices and developments and perform continuous risk monitoring activities.

Key Deliverables :

- Model risk audit projects review and test all aspects of model design, implementation, performance and validation processes operated by the bank's model development and validation functions.

Model risk audits typically include :

- Review and assess the model development and independent model validation performed by bank based on review and testing of the development and validation processes and documentation

- Investigating key aspects of each model under review, incl. model documentation, model selection, input data, theoretical construction, implementation (independent calculation) and model governance (inventory related models, issues, escalation, agreed actions, approvals/limitations and/or conditions of use)

- Participation in working groups addressing modeling issues and the model control environment

- Reviewing findings with colleagues in different audit groups including business and subject matter experts

- Developing appropriate controls to mitigate for model risk and residual uncertainty

- Documenting the testing performed

Qualifications / Competency :

- A first degree in mathematics, physics, engineering, finance or econometric and ideally a Masters or PhD in one of those areas or finance.

- Experience in data analysis and management, and trading risk management systems would be an advantage

- Hands on experience of model risk and capital modeling, derivatives pricing and broader financial modeling is desirable, but regardless of experience all candidates should be able to demonstrate an understanding of capital modeling, financial and derivative products and mathematics, from private study if they have not worked in the financial sector

- Experience in model risk assurance activities (internal/external audit, independent validation or regulatory environment) would be an added advantage

- Strong communication and writing skills (fluency in English is a prerequisite)

- Excellent knowledge in risk management, quantitative analysis and software applications (such as Matlab and S-PLUS)

- Candidates should be self-motivated, disciplined, task focused, able to structure their work and have a proven record of delivering high quality results to strict deadlines