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You apply directly with the employer. We never charge applicants.
San Pedro Garza García, Mexico
Guadalajara, Mexico
Pay not published. Too few similar jobs show pay for a fair estimate.
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. Provides business insights to stake holders that directly or indirectly affects IWPB financial results. 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. 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. Responsible for delivery of high quality Data Preparation datasets and documentation in order to progress with subsequent stages of model development. 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. 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