at HSBC
OtherPosted 14 days ago
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**Traded Risk Analytics Manager (1-year contract)** manages model risk compliance. Analyzes internal polices, regulatory requirements, and collaborates with model owners for lifecycle governance. Maintains inventory, conducts committee meetings, and articulates approach to stakeholders. Needs 3-5 years' experience in quant finance/risk modeling, understanding of traded risk models. Requires Master's/Bachelor's degree in related field and familiarity with Python.
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Full Job Description
GCB 5
We are currently seeking a high calibre professional to join our team as a Traded Risk Analytics Manager (1 year contact).
In this role you will:
- Analyze and interpret regulatory requirements and internal policies related to model risk management, particularly for Traded Risk models.
- Collaborate with model owners to ensure compliance with model governance policies throughout the model lifecycle.
- Maintain and update the model inventory, ensuring accuracy and completeness of model records for Asia and Middle East.
- Prepare formal documentation, including procedures, meeting packs, and regular model governance reports for senior management, and organize model governance committees.
- Understand both regulatory and business requirements and propose fit-for-purpose models.
- Demonstrate a good understanding of traded risk model features, assumptions, and limitations.
- Monitor and manage model risk issues, remediation plans, and policy dispensations.
- Clearly articulate our modeling approach to internal and external stakeholders (including regulators), using non-technical language when required.
- Assist in the ongoing application of models within a business-as-usual risk management framework.
- Work with a degree of autonomy, handling complex technical information while providing sound judgment and clear direction.
To be successful you will need:
- Minimum of 3-5 years experience in the financial industry involving quantitative finance and/or risk modelling.
- Experience working with Traded Risk models and understanding their development and validation processes is highly desirable.
- M.Sc./Bachelor holder in Quantitative Finance/Physics/Mathematics or related disciplines.
- Sound understanding of financial mathematics, mathematical analysis, statistics and linear algebra.
- Sound understanding of risk measures.
- Knowledge of derivative products and their pricing.
- Familiarity with regulatory requirements related to model risk management (e.g., SR 11-7, SS1/23).
- Good knowledge of Python programming language. Other programming skills are a plus.
- Open personality and effective written and oral communication skills in English.
Opening up a world of opportunity
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