AVP , TnO ANALYTICS, GRA

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of AVP , TnO ANALYTICS, GRA

Principal responsibilities

• 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.

Requirements

• 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.

Candidate with less relevant experience or skills may be offered a lower Global Career Band than stated above.

Due to the urgent hiring need, candidates with immediate right to work locally and no relocation need will be prioritised.

You’ll achieve more when you join HSBC.

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