Vice President Global Risk Analytics

Our purpose – Opening up a world of opportunity – explains why we exist. Here at HSBC, we use our unique expertise, capabilities, breadth, and perspectives to open up new kinds of opportunity for our more than 40 million customers. We’re bringing together the people, ideas and capital that nurture progress and growth, helping to create a better world – for our customers, our people, our investors, our communities, and the planet we all share.

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.

HSBC Americas is engaged in business in credit derivatives, emerging market and emerging market derivatives, mortgage, equity derivatives, fixed-income and interest rate derivatives, FX (Foreign Exchange), and commodities etc. Extensive risk models have been developed and well-documented to support these business activities. With Regulatory Stress Tests, methodology development and implementation, trading activities/strategies and risk management are more than ever driven by risk weighted return in the form of capital requirements, or risk weighted assets. At the meantime, risk engines are constantly being enhanced/consolidated to accommodate new regulations and anticipated changes. The mandate Risk Quantitative Analyst is to join the Global Risk Analytics team to research, develop and enhance traded risk methodologies, provide methodology support to regulatory stress test, businesses, traded risk management and control functions, interacting with regulatory agencies, and maintain and update the traded risk methodology documentation.

As our Vice President Global Risk Analytics you will:

- Review, validate and document risk methodologies across asset classes

- Work on model assessment, monitoring tests, model performance and review and model risk governance. Responsible for conducting monthly model performance and review, investigating potential model performance issues and identifying areas for model enhancement

- Manage the counterparty credit risk exposure for capital, limit and CVA (Credit Valuation Adjustment) calculation. According to regulatory standards to identify weaknesses and propose enhancements to satisfy all regulatory requirements and regulatory stress test)

- Perform ad-hoc analysis in various aspects of risk measurements, stress tests, what-if analysis on the existing portfolios and during new product/transaction approval; and on demand quantitative support for businesses, and traded risk management and control functions

- Work with the team to: develop advanced risk methodologies including sophisticated quantitative methodologies to measure counterparty credit and market risk exposures, and to enhance Value-at-Risk model, etc. Research and develop new risk methodologies to satisfy requirements of BASEL 3 and other regulatory frameworks. Research and develop methodology to address regulatory concerns and toward audit points removal

You´ll likely have the following qualifications to succeed in this role:

- In depth knowledge on products and transactions in the various asset classes with solid understanding to their credit and market risk exposures and advanced quantitative methodologies to model and measure these risks. Strong working experience in quantitative financial methodologies (derivatives theory and models, probability theory, Mathematics, etc.) is required

- Expertise in risk modeling development/enhancement. Demonstrated ability and experience in Regulatory Stress test, CVA, counteryparty credit risk and market risk models, and regulatory capital calculation

- Excellent verbal and written skills. Must be able to explain and articulate complex quantitative and/or technical matters clearly, accurately and simply. Need interaction with US regulators, business heads, traders, quants, model review members, market risk and credit risk managers, and IT developers

- Organized, detail-oriented and self-motivated, work independently, adhere to tight deadlines and develop and maintain healthy relationships with all internal clients and regulators

- Solid technical skills are required, such as risk system/model implementation in Python, C/C++, VBA, or other programming languages. Knowledge on Traded/Risk Systems such as Polypaths, Calypso, Summit, etc. are plus

- Advanced degree in a quantitative or computational field (Computer Science, Math, Physics, Statistics and Financial Engineering) is required

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.