SVP, Quantitative Risk Analytics Manager

In compliance with applicable laws, HSBC is committed to employing only those who are authorized to work in the US. Applicants must be legally authorized to work in the U.S. as HSBC will not engage in immigration sponsorship for this position.

The Quantitative Risk Analytics Manager plays a vital role in the measurement and assessment of financial and non-financial risks for the bank.  We utilize sophisticated models to provide analytical solutions and tools to quantify key risk metrics used to inform business decisions and meet regulatory and financial reporting obligations. To improve the understanding of performance of our models we execute adequate model performance monitoring and assessment to ensure models perform as expected or, when necessary, to introduce compensating controls.  Regulations continue to evolve with various model risk management focused initiatives, stipulating wide-reaching changes for assessing model risk management compliance through observing model performance monitoring, assessment, model risk governance and controls.  A fine balance is needed to both adhere to regulatory changes and scrutiny and to achieve our strategic objectives, requiring executing efficient model monitoring/assessment and model risk governance/control plans to meet both regulatory and internal model risk management requirements.

Here’s what you can expect:

As the Quantitative Risk Analytics Manager, you will be responsible for conducting model risk evaluation through performance monitoring and assessment of HSBC’s Wholesale Credit Risk models used in the US which encompass all model types including A-IRB, CECL/IFRS9, and CCAR/Stress Test models.

This includes setting and implementing the global Wholesale Credit Risk model monitoring standards and frameworks to meet evolving regulatory and internal model risk management requirements. You will ensure the alignment of our model performance with global and regional business strategy with the aim of supporting effective use of models as a tool for efficiently managing risk and achieving commercial outcomes.  You will keep on-going engagements with model developers, model users and other business stakeholders to inform them timely the outcomes of model performance monitoring and assessment and identify any model issues that may require compensating controls.  You will also work with independent model review team to support them conducting model validation and to remediate identified model risk issues.

• Experience in quantitative analytics and use of sophisticated tools for numerical analysis, additionally working knowledge of computer programming (e.g. VBA/R/Python/Matlab/SAS) would be ideal.
• Knowledge of credit risk and portfolio management, wholesale credit & lending business and products.
• Strong understanding of Wholesale credit risk models and their use in capital and financial planning through experiences in either model development, model monitoring or model validation.
• Knowledge on regulatory expectations and industry best practices in model risk management along with experiences in wholesale credit risk model performance monitoring and model assessment projects are desired.
• Relevant professional work experience in a bank, rating agency, consultancy or advisory firm.

As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package including a robust Wellness Hub, all in a welcoming and inclusive work environment. You will be empowered to drive HSBC’s engagement with the communities we serve through an industry-leading volunteerism policy, a generous matching gift program, and a comprehensive program of immersive Sustainability and Climate Change Initiatives. You’ll want to join our Employee Resource Groups as they play a central part in life at HSBC, including the development of our employees and networking inside and outside of HSBC. We value difference. We succeed together. We take responsibility. We get it done. And we want you to help us build the bank of the future!

Your final fixed pay offer will depend on the candidate and several variables, including but not limited to, role responsibilities, skill set, depth of experience and education, licensing/certification requirements, internal relativity, and specific work location.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, race, national origin, ethnicity, disability or medical condition, genetic information, military or veteran service, religion, creed, sex, gender, pregnancy, childbirth, caregiver status, marital status, citizenship or immigration status, sexual orientation, gender identity or expression or any other trait protected by applicable law.