Some careers have more impact than others.

If youre looking for a career where you can make a real impression, join HSBC and discover how valued youll 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, Wholesale Analytics, GRA.

Principal responsibilities

• Provide in-time data analytics to support model monitoring and management projects
• Develop, improve or re-build the existing suite of models assessment methodologies
• Improve the tools supporting testing, monitoring and regulatory approval of wholesale risk models
• Contribute to projects aimed at aligning methodologies, governance and policies
• Appropriately calibrated and applied credit 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
• Effective communication with internal team and business stakeholders to ensure a strong common understanding of the models/analytics and that best practices are being applied.

Requirements

Qualifications

• Degree holder or above in Finance, Mathematics, Risk Management, Statistics or a related field.

Experience

• Have a good understanding of credit risk modelling, in particular within the wholesale environment.
• Experienced in banking industry, including experience in Risk and in a business line (preferably corporate).
• Prefer to have a hands-on experience in Basel modelling, monitoring, and model risk management.
• Prefer to have experience in Basel, PRA, ECB or HKMA regulatory capital rules.
• Experienced in streamlining complex data and model analytics would be an significant add-on.

Skills

• Able to work in a dynamic and multinational culture and cope with high pressure.
• Proven writing and analytical skills.
• Strong technical background with excellent communication and project management skills.
• Highly skilled in using Python/Py Spark. Experience in using Tableau/Qlik Sense would be an added advantage.
• Demonstrated capability to lead analytical project.
• Strong sense in credit risk and model risk management.

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.

Youll achieve more when you join HSBC.

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