We are currently seeking a high calibre professional to join our team as a
Senior Traded Risk Analytics Manager. In this role you will: Impact on the Business/Function
- Appropriately calibrated and applied traded risk models help ensure that risk is more accurately quantified, allocated and managed. This in turn leads to more appropriate risk-return analysis for the business
- Regulatory approval for effective traded risk models aligns risk measurement and capital. This is optimal and removes arbitrage
- Understanding of regulatory requirements means the business is forewarned of changes in the regulation and can prepare accordingly
- Effective communication with the GRA team at both Regional and Group levels ensures there is a strong common understanding of the models and that best practices are being applied
- Providing bespoke analysis for new business helps ensure that the business can make appropriate risk/capital assessments
Customers / Stakeholders
- Traded Risk Management
- XVA business (Trading, Product Control)
- Capital Management (Sales, Structuring/Trading, Regulatory Finance)
- Regulators (HKMA, Asia Pacific regulators)
- Independent Model Validation Function
Leadership & Teamwork
- Be part of a management team in ensuring Traded Credit Risk is managed to our risk appetite.
- Align to team key priorities and objectives
- Work in close collaboration with the rest of the team in the other regions (London, India, Guangzhou ... etc.)
- Effective communication within GRA and the broader Risk teams in the region and at Group level
- Make yourself available in crisis scenario to help the team deliver even when outside your core projects.
- Establish and maintain strong working relationships with key stakeholders
Operational Effectiveness & Control
- Identification of gaps in risk models and approaches to mitigate
- Ensure effective on-going monitoring of models
- On-going review of testing process/policy
- No high risk audit points
- Consistent with Group policies, Regulatory requirements and best practice
To be successful you will need: - Ability to lead, manage and successfully deliver projects within the agreed time scale, in liaison with all relevant stakeholders: model owners, credit, business, IT, senior management and regulators
- Clear and demonstrable familiarity with key risk measures such as CVA, EPE, PFE
- Minimum Master's level in Math/Statistics/Computer Science/Engineering/Risk Management discipline
- More than 2-years hands-on experience implementing AI and machine learning solutions
- Excellent understanding of Stochastic Calculus applied to quantitative finance and numerical optimisation technics
- Ability to break methodology design in atomic testable blocks that can be implemented in automated testing suite
- Good C++/Java/Python developer not afraid to learn other languages and with a test-driven development approach
- Good understanding of derivatives pricings and risk models
- Open personality and effective communication skills, ability and flexibility to work in an international team
- Ability to write clear and well-articulated documentation
Opening up a world of opportunity
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Issued by The Hongkong and Shanghai Banking Corporation Limited.
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