Data Science Analyst

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 global 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 analytical models.
• Responsible to ensure the deployment of analytical models in time and ensure the model is well implemented, provide evidence and convince stakeholders the model has been implemented according to its design and meets business requirements.
• Partner with business stakeholders in formulating key information management strategies and provide performance metrics on time or ad hoc analysis derived from business needs or provide more context to decision takers.  

Skills/Experience Required: 

• Having Bachelor degree in one of these preferred disciplines: economics, statistics, computer science, data science, analytics, statistics, econometrics. Diploma or Master’s degree a plus.

• In-depth knowledge of the data management cycle within the banking industry in Mexico is desirable.

• 2 years experience in data preparation using SAS or Python software or any other data science software. Cloud data processing a plus.
• 2 years Experience developing analytical models, predictive models, credit scoring solutions in bankin, insurance or telcos in the fields of CRM models, consultancy experience is welcome in the field of development of analytical methods
• Demonstrate Basic to Intermediate SAS, Python, SQL programmatic languages in the fields of statistics, data manipulation, reporting and analysis.
• Desirable but not limitative to have experience with documentation of large amount of process or analytical solutions, deployment and evangelization to business areas in the use of analytical models.
• Exposure to building statistical and (or) Machine Learning models for solving diverse business challenges and creating significant business value.
• Intermediate to expert use of excel a plus.
• Excellent written and verbal communication skills. Ability to develop and effectively communicate complex concepts and ideas
• Enthusiasm for proactively seeking, exploring and developing use cases for new data and/or tools/wider industry trends
• Capable to maintain a strong stakeholder management skills and seamless delivery of analytics initiatives across markets
• Ability to succeed in mathematical and programmatic fields by investigate methods or apply best practices to generate new ideas and innovation, open to share knowledge and savoir faire.
• Basic business acumen with out-of-the box thinking to drive improved business performance

• Strong organizational, problem-solving and communication skills 

• Strong interpersonal skills and ability to build and maintain relationships  

• Ability to think creatively to drive innovative solutions  

• Good communication skills, in particular the ability to produce high quality reports which are articulate and effectively deliver the right message to the recipients 

• Good analytical skills with business analysis aptitude. Knowledge and basic to intermediate understanding of financial-services/ banking-operations. 

• Good problem solving skills. 

• Exhibit self-motivated, self-starter behaviors. Good communicator and interpersonal skills. 

• Strong team player; able to work members of different skills and experiences. Comfortable to operate in a complex matrix structure with multiple stake holders.

Soft Skills requirements 

• An Entrepreneurial spirit/drive to execute quickly with the simultaneous ability to navigate political barriers 

• Ownership in all aspects of data science activities
• Ability to build strong relationships both internally and externally

• Ability to relate to management up to Board level

• Confident, articulate, persuasive, with enhanced change management skills

• Well-developed influencing skills

• Promote HSBC’s values and behaviours within the team

You’ll achieve more when you join HSBC!

At HSBC we offer our colleagues a greater number of days so that they can fully enjoy their wedding, take care of the new member of the family, or grieve the loss of a family member. Our paid leave package is at the forefront in Mexico, now you have one more reason to be HSBC and proudly live a culture of well-being, balance and care

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.

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. 

***Issued by HSBC Electronic Data Processing (México) Private LTD***

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