Job Description
Job Title: Model Quantitative Specialist Auditor
Corporate Title: Vice President
Division: Internal Audit
Location: Singapore
Licensed Role: No
Job Overview
The Vice President, Model Risk Quantitative Specialist Audit position is a specialist Model risk audit role within Nomura Internal Audit. It is a global role and reports primarily to the Global Head of Model Risk Audit. This is a key role in assessing the firm's model risks and the individual will lead or participate in Model Risk Management and other Business line audits, as well as supporting other Internal Audit activities including risk assessment, issue remediation validation and continuous monitoring and auditing. The Model Risk Management audits are global and regional covering pricing models, risk management models and capital models and also involve assessing compliance with local and global regulatory requirements.
The role involves ongoing coordination with members of other regional and cross functional Internal Audit teams covering Technology, Operations, Global Markets and Investment Banking, Legal and Compliance, and Finance across New York, London, Singapore, Mumbai, and Tokyo.
Responsibilities
- Assessing the firm's model risk management practices against regulatory standards such as SR 26-2, JFSA, UKPRA, BAFIN and ECB requirements
- Assist in annual risk assessments of Model risk related auditable entities
- Performing assessments of the effectiveness of the firm's model risk management controls across models lifecycle including but not limited to development and independent validation processes, against industry and regulatory standards
- Perform continuous monitoring of the firm's Model risk
- Effectively collaborate with other Global and Regional audit teams and deliver assistance where needed either in audits or other advisory matters
- Contribute specialist coverage of counterparty credit risk (CCR) models, including CVA/PFE/IMM-related model risk considerations, as part of the team's regional coverage plan
- Identifying and formulating solutions to issues around Model Risk management
- Tracking implementation of recommended processes and procedures designed to strengthen internal controls
- Support the development and implementation of data analytics, automated testing, and AI/Agentic AI applications for model risk and audit-related processes (e.g., automated testing, documentation review, anomaly detection)
Requirements
- Minimum Master's in quantitative sciences, supported by work experience as model developer or model validator at a major Financial Institution, Consulting firm, or Big 4 firm
- 5+ years experience in pricing or risk model design, development, calibration, stress testing and validation; Counterparty Credit Risk (CCR) modelling
- Proven experience in quantitative finance and model development
- Financial mathematics skills and fluency in stochastic calculus, statistics, and numerical methods
- Subject matter expertise to support the global model risk audit manager in establishing and executing an effective audit approach around valuation and pricing models
- Ability to code, preferably Python; familiarity with data analytics tooling; and practical interest in or exposure to AI/Agentic AI applications for model risk or audit processes (e.g., automated testing, documentation review, anomaly detection)
- Relevant market knowledge across asset classes and experience in risk managing derivative products (IR, FX, Credit, Equity, Inflation, etc.)
- Ability to challenge and be challenged while maintaining the highest level of professionalism and ethics
- Independent, reliable, and self-motivated
- Strong project management skills and ability to build effective working relationships
- Excellent oral and written communication skills, including the ability to convey complex concepts and opinions clearly to senior management and to engage effectively with internal stakeholders across all levels of seniority
- Experience with credit scoring / PD model development or validation a plus
- Audit experience a plus
More Info
Key Skills
Numerical methods
AI applications
Financial mathematics
PFE
Risk management models
Model risk management
Capital models
IMM-related model risk considerations
