Vice President Global Risk Analytics

HSBC Global Services Limited•New York, NY

About The Position

HSBC Americas is active in credit derivatives, emerging markets and their derivatives, mortgages, equity derivatives, fixed income and interest rate derivatives, foreign exchange, and commodities. The Global Risk Analytics team develops and maintains risk methodologies and models supporting these activities, regulatory stress testing, trading strategies, risk management, and capital requirements. The Vice President will research, develop, enhance, review, validate, and document traded-risk methodologies across asset classes; support regulatory stress testing and internal business and control functions; and engage with regulatory agencies. The role also focuses on monitoring model performance and governance, counterparty credit risk exposure, and quantitative analysis for existing portfolios and proposed products or transactions. The position requires advanced quantitative expertise in financial risk modeling and a quantitative or computational advanced degree. It involves collaboration with regulators, business leaders, traders, quantitative analysts, model reviewers, risk managers, and IT developers. Applicants must be legally authorized to work in the United States; HSBC will not provide immigration sponsorship for this position.

Requirements

In-depth knowledge of products and transactions across asset classes and of their credit and market risk exposures.
Strong working experience with quantitative financial methodologies, including derivatives theory and models, probability theory, and mathematics.
Expertise in risk-model development and enhancement.
Demonstrated ability and experience in regulatory stress testing, CVA, counterparty credit risk and market risk models, and regulatory capital calculation.
Excellent verbal and written communication skills, including the ability to explain complex quantitative or technical matters clearly and simply.
Organized, detail-oriented, self-motivated, able to work independently and meet tight deadlines, and able to maintain effective relationships with internal clients and regulators.
Technical skills in implementing risk systems or models using Python, C/C++, VBA, or other programming languages.
Advanced degree in a quantitative or computational field, such as Computer Science, Mathematics, Physics, Statistics, or Financial Engineering.
Legally authorized to work in the United States; the company will not provide immigration sponsorship.

Nice To Haves

Knowledge of traded-risk systems such as Polypaths, Calypso, or Summit.

Responsibilities

Review, validate, and document risk methodologies across asset classes.
Conduct monthly model performance reviews and monitoring; investigate potential performance issues and identify opportunities for model enhancement.
Contribute to model assessment, monitoring tests, model performance review, and model risk governance.
Manage counterparty credit risk exposure for capital, limit, and CVA calculations, identifying weaknesses and proposing enhancements to meet regulatory and stress-testing requirements.
Perform ad hoc risk-measurement analyses, stress tests, and what-if analyses on existing portfolios and during new-product or transaction approvals.
Provide quantitative support to businesses and traded-risk management and control functions.
Develop advanced quantitative methodologies to measure counterparty credit and market risk exposures and enhance Value-at-Risk models.
Research and develop methodologies to satisfy Basel III and other regulatory frameworks, address regulatory concerns, and support removal of audit points.
Interact with US regulators and internal stakeholders, including business heads, traders, quants, model review members, risk managers, and IT developers.