Data Science Analyst
Ubicación:
Azcapotzalco, Ciudad de México, MX, 02230
Campo personalizado 3: HSBC
Área de interés:
Campo personalizado 4: Trabajador híbrido
Fecha: 29 sept 2026
**Job description**
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 the design with analytical models the creation of customer campaigns. Team also acts as a bridge between second line of defense and other internal or local oversight teams to comply with global and local model governance policies and procedures.
5 disciplines are defined today, that relates to various aspects of our dynamic organization, but may be reviewed from time to time subject to business needs: Data Modelling, Model Development and Test, Model Governance, MIS & Reporting, Campaign Management.
The role of Analyst, Sr. Analyst or Expert Data Science have a direct reporting line to the Leaders, Subject Mather Expert or Manager, Sr Manager Data Science (GCB5 and GCB4) will be accountable for structuring, conduct quality assurance and document the procedures to ingest the development and testing data to the analytical methodologies, execute the model monitor for the ongoing and planning analytical model/solutions. Participate in the design, test and execution of customer campaigns by providing model performance and model scores to campaign makers with the oversight of Her/His superior. This position also supports the performance test over the developed methodologies as well the documentation. Is not limited but could participate in Internal Model Reviews conducted by second line of defense by preparing and presenting evidence of alignment of global and local model governance policies and procedures.
Requires good communication skills in order to influence audiences in some organization layers. Provides business insights to stake holders that directly or indirectly affects IWPB financial results. Also requires a broad and comprehensive understanding of different systems and data structures and Cloud platforms. Data Science experience is desirable but could be extended to Portfolio and Business Analytics or Data Analytics experience or Business Intelligence experience.
**Projects and analysis**

- Responsible for delivery of high-quality data preparation to ingest in the model development process, it includes but not limited to data quality, variable stability over periods of interest, variable distribution, data cleansing as main components.
- Accountable for prepare documentation that serve other stages of model development to understand in a clear and logical order of ideas the used data sources, data treatments, justification of selected periods of time, data quality cut off when applicable, and any other proposed metrics or measures used to propose changes to data ingested by models.




- Understand and envision how to link data preparation with model development and being capable to perform changes when needed in order to progress with model development and document changes as a result of such changes.
- Produce visual report or any other structured support to provide evidence that data preparation is sufficient and comply with general and local requirements.
- Produce model monitoring in accordance with global policies and procedures to ensure analytical solutions are performing as expected, derived for this activity is expected that jobholder could provide insights that help to take preventive actions of any kind of model performance deterioration or use those insights to expand the model use scope to make the business more rely on model decisions. To perform those actions jobholder need to be strictly sticked to the use of authorized software tools and avoid any wrong use of data used in the process.
- In cases where jobholder possess an experience or previous experience of model development, the supervisor could decide to rely in more task related to model development under her/his supervision. All insights or results provided in this sense needs to be presented and validated by the correspondent GCB 4.
- In cases where jobholder possess experience or technical knowledge, supervisor could rely her/him to supervise the development of models in her/him with the previous approval of GCB 4. In those cases jobholder needs to posses the skills to present the results from model development and model test translated in business language and jargon in order to stakeholders take decision or approval to use the analytical solution / model.
- Assist or support in the execution of model scoring by running code in authorized tools following the superior instructions and document any change made in the process of scoring.
- Assist or support model documentation with evidences required by the global policies or procedures to subscribe model to an Implementation Review, Model Assessment, or any other regulatory aspects of model governance.
- Assist or support the development of analytical tools different from decision models that could help business to thrive under situations of uncertainty or gain a broader market share. In this sense, jobholder needs to document all the steps followed to accomplish the task in order to generate a bank of projects or knowledge that serve as a library for future exercises.
- The role holder needs to manage multiple clients from different regions having different time zones, regulatory environment, and maturity of business, data and systems. Attend different forums where could express her/his opinion about modeling process or be part of any global task force that direct manager considers subscribing to.

**Service Delivery**

- Responsible for delivery of high quality Data Preparation datasets and documentation in order to progress with subsequent stages of model development.
- Expected to own and deliver model monitoring in time according to model monitoring periodicity, it is not limited to; worksheet or dashboard comprising performance measures, population stability and bias test for protected classes.
- Act as a liaison with other GAC or business to develop or reinforce the quality of data ingested to the

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