Data Science Analyst
HSBC · Azcapotzalco, Ciudad de México, MX, 02230 · Mexico · On-site
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If you’re looking for a career where you can make a real impression, join Global Capability Network HSBC and discover how valued you’ll be.
HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions.
Global Analytics Center (GAC) is an innovative community leveraging the best of data and analytics capabilities to enable smarter decisions and drive profitable growth. Rightly positioned in the major intellectual hubs of India, Poland, China, Egypt, Malaysia, Philippines, Sri Lanka and México, it attracts a rich mix of resources across business consulting, data analysts, decisions scientists and advance analytics professionals. Being in these locations also enables HSBC to leverage talent from the rich academic and start-up ecosystem to keep up to date with the latest in the industry.
Today, the Global Analytics Center (GAC) team generates value across the group through a wide variety of data and analytic solutions and related business consulting. GAC has become a one-stop shop for the group’s analytic needs leading the integration of analytics and data-driven decisions not only in traditional areas such as Risk, Retail, Wholesale, Private & Commercial Banking but also in new domains such as Regulatory, Operations, Procurement, Human Resources, and Financial Crime Risk. It provides support to various business groups and the job involves data analysis, model and strategy development & implementation, Business Intelligence, reporting and data management.
There are primarily four job families in GAC: Information Management (Data Management), Decision Sciences, Business Intelligence and Analysis and Campaigns Operation .
Data Science job family is designed to cater towards all design, development and deployment of customer patterns in form of decision models or business strategies (quantitative solutions like predictive algorithms / forecasting / scenario simulations etc.) that help strategic business decisions takers to make informed actions to growth the customer portfolio, increase the customer engagement and increase the portfolio revenue by optimizing the contact with the most likely customer to take a new product or continue growing the customer relationship with the bank. It covers exploitation of data, building customer insights, designing and frequent execution of data marts, development, test and deployment of analytical methodologies or decision models, creating performance reports, supporting or help in the design and execution of customer campaigns, generating business insights as ad hoc requests. Key responsibilities also include, but not limited to: creation of business insights using certified data sources, development, test and deployment of analytical methodologies, support…