AVP, Stress Testing, GT

Job title: AVP, Stress Testing, GT

The role holder will be supporting the analytics team within (Team / MR sub team name). The person in this role is expected to perform and lead data-driven analysis, develop analytical frameworks and tools and manage models. The person will play a key part in using the power of data to solve problems, improve efficiency and generate actionable insights to support the business operations within <Business name> Finance. The incumbent in this role will be an SME in this area and expected to ideate and conceptualise solutions and drive innovative solutions. The person will work closely with Finance stakeholders, Data and Analytics teams and IT teams to develop and implement data-driven solutions for various use cases.

In this role, you will:

Principal Accountabilities and Responsibilities (e.g., for Business, Customers and Stakeholders; internal control environment, etc.)

• Serve as the Analytics Lead for Finance team, collaborate closely with Business Partners to deliver insightful, data-driven solutions that support strategic decisions and enhance business performance.
• Take measures to provide analytics on thought leadership with a deep understanding of product dynamics and the ability to connect forecasts and actuals to market trends, strategy, customer behavior, and assumptions.
• Lead customer-centric analytics across pricing, planning models, stress testing models and revenue/margin/ Loss analysis for key products by business lines
• Contribute and participate in developing analytical tools and models to provide insights into customer segments, bank’s performance and financial outcomes for internal strategic planning or stress testing. Collaborate across teams to test, and implement solutions                                                                                                                                                                                                                                                                                  
• Enhance existing models, address Independent Model Review findings, and improve model ratings through implementing effective governance and observe to Model Policy and Standards.
• Formulate and present analytical materials for Review and Challenge forums, clearly articulating model design, assumptions, and outputs.
• Support building a high-performing analytics team—recruiting, onboarding, training, and developing talent with specialized skills.
• Monitor regulatory developments and assess their impact on modelling and reporting standards.
• Drive standardization and simplification across functions and track their effectiveness and efficiency.
• Partner with key stakeholders to deliver impactful business intelligence, support strategic initiatives, and enable executive decision-making.

Leadership & Teamwork 

• Demonstrate thought leadership and foster a strong, forward-thinking team culture.
• Promote a collaborative environment that encourages knowledge sharing and open dialogue.
• Actively contribute as a team player to drive operational efficiency and meet shared goals.
• Maintain high standards of personal integrity and adhere to HSBC’s conduct, compliance, and information security policies.
• Take ownership of personal development by identifying training needs and progressing on agreed development plans with the line manager.
• Build trust and strong relationships across stakeholders—onshore, offshore, junior, and senior—by embodying HSBC values and behaviors.
• Communicate effectively and maintain strong relationships with team members and business partners.
• Stay self-motivated, continuously learning and upskilling to stay relevant and effective
• Effective communicator and collaborator, able to influence and lead within complex, dynamic environments.

To be successful you will:

Functional Knowledge

• A degree in MBA with bachelor’s in engineering / master’s degree in economics, Mathematics, Statistics or other numerical discipline, with relevant analytics experience.
• 7+ years (with Master’s) or 9+ years (with Bachelor’s) professional experience in financial services or consulting.
• Proven experience in analytics for banking, including risk, stress testing, forecasting, and product strategy development.
• Relevant experience in fields like Credit Risk & Basel, Loss Forecasting / Reserving, IFRS9, Stress testing etc.
• Hands-on experience developing and deploying analytical, financial, statistical, and/or machine learning models.
• Strong financial modeling skills and advanced analytics tool proficiency (SAS, SQL, R, Python, Qlik Sense, etc.).
• Excellent quantitative aptitude and understanding of data architecture, finance, and accounting systems – ability to work with large, complex datasets
• Experience designing and maintaining control frameworks to ensure high-quality, repeatable deliverables.
• Strong organizational, problem-solving and verbal and written communication skills.
• Track record of process improvement, governance, and leveraging technology for automation and insights.
• Good technical background working with large-scale data in distributed computing environments, including databases, data cleaning, and feature engineering
• Experience in managing diverse analytics projects virtually and cross-functionally.
• Strong commercial acumen with deep knowledge of banking products, financial drivers, P&L, and ratios.

Others

• Proven ability to produce clear summaries and reports from complex information, including both written documentation and graphical material
• Skilled in process governance, re-engineering, and driving continuous improvement aligned with stakeholder needs.
• Strategic thinker with strong execution capabilities, able to balance business-as-usual and transformational change.
• Proven ability to adapt quickly, work under pressure, manage multiple priorities, and resolve issues efficiently.

Hsbc.com/careers

You’ll achieve more at HSBC

HSBC is an equal opportunity employer 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. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”

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