AVP, Risk Analytics and Modelling at HSBC Securities Services Luxembourg

Guangzhou, Guangdong, China -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Risk Analytics, Modelling, Statistical Regression Analysis, Credit Risk Models, Stress Testing, IFRS9, Python, R, SAS, Matlab, SQL, Regulatory Capital, AIRB, LGD, PD, EAD

Industry

Financial Services

Description

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 Risk Analytics and Modelling. Principal responsibilities Lead in delivering at least one of the following key wholesale risk model engagements: Development, validation, and maintenance of Regulatory credit risk models including PD, LGD, RWA for wholesale clients. Development, validation, and maintenance of Wholesale Economic response models (Stress Testing, IFRS9) including PD, LGD, ECL for wholesale clients. Demonstrate an expertise in highly technical areas (e.g. statistical regression analysis, statistical model builds of PD, LGD and EAD models), as well as a deep understanding of the Wholesale business environment and its associated credit products. Collaborate with Business heads, Risk (WCRM), Regional counterparts, Finance, MRM & Data team. Responsible for ensuring that the model outputs are required to support annual ICSA exercise, regulatory submissions enabling to embed Climate in Credit risk and assess impact of net-zero risk on wholesale portfolio. Engage with team leads, senior management, project owners and project sponsors as well as model reviewers and approvers. Follow the global model standards while supporting model development, validation, and monitoring. Develop a good understanding of risk data flows from customer and product systems, defining it through to the finance and regulatory reporting systems. Translate and present technical work into more acceptable form in order to get the stakeholders' buy-in. Requirements Functional Knowledge Relevant analytics experience in banking domain / IFRS9 risk analytics/ Stress testing. Good exposure to credit model methodologies data requirement for Stress Testing models, AIRB and IFRS 9 modelling. Knowledge and understanding of wholesale portfolio risk drivers, their use and impact on capital requirements; knowledge of regulatory capital and its components. Knowledge of AIRB/IFRS9 PD, LGD or EAD credit model development would be a plus. Decent understanding and interpretation of regulatory rules. Strong coding skills in Python, R, SAS, Matlab, SQL etc. would be essential. Certifications like FRM, CQF or SCR will be preferable. 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. HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Responsibilities

Lead in delivering key wholesale risk model engagements, including the development and validation of regulatory credit risk models. Collaborate with various teams to ensure model outputs support regulatory submissions and assess climate risk impacts on the wholesale portfolio.