Job Description:
Join HSBC, one of the world’s leading banking and financial services organizations, in the role of Analyst – Data and Analytics. This position offers the opportunity to make a meaningful impact by leveraging data-driven insights to address business challenges and enhance operational efficiency.

Principal Responsibilities:

Translate business problems into analytical challenges and lead small teams in delivering solutions across various regions and business units.
Identify business opportunities, diagnose analytical issues, and propose actionable solutions to drive higher value.
Manage end-to-end project delivery, ensuring adherence to timelines and quality standards, with hands-on involvement when required.
Conduct high-quality analysis and provide strategic recommendations to address business challenges.
Build hypotheses on customer behavior and growth scenarios, using qualitative and quantitative techniques to identify causes and solutions.
Execute data-driven analytical approaches to improve decision-making across customer lifecycle phases, including acquisition, onboarding, engagement, and attrition management.
Document and present insights, supported by solid analytics, to stakeholders in a clear and structured manner.
Support cross-functional and regulatory analytics initiatives as required.

Requirements:

1-2 years of hands-on experience in analytics, preferably in financial services or a related domain.
Strong experience in executing complex analytical approaches and solving business problems, especially within the Credit Cards function.
Proficiency in SAS, SQL, and analytical tools like MS Excel and PowerPoint.
Knowledge of predictive tools such as Decision Trees, Forecasting Techniques, and Random Forests; experience with Gradient Boosting is an advantage.
Understanding of lending portfolio business drivers and the ability to perform financial analysis

Education Requirement: Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, Finance, or related fields

Technical Skills Required: SAS, SQL, MS Excel, PowerPoint, Decision Trees, Forecasting Techniques, Random Forests, Gradient Boosting

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