If you’re looking for a career where you can make a real impression, join Global Service Center (GSC) HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations 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 realise their ambitions. We are currently seeking an experienced professional to join our team in the role. Role Purpose: This position provides support and analytical expertise to deliver commercially relevant Global Collections, Underwriting, Credit Bureau and Fraud standards that build functional operational capabilities to deliver results. This position goes beyond the traditional data analysis / BI, you will write complex scripts, automate processes/reporting, answer specific business questions with data. The individual will work closely with operations teams and Sr. Management to translate business requirements into actionable data insights, leveraging Python as the main programming language, and SAS to extract, manipulate and analyze large datasets from the data warehouse and other data sources. We use programming and analytics every day to tackle real business problems, in a nutshell, you will: Pull data from Warehouses stored in SAS Servers / GCP / Hive using Python, SAS, SQL. Analyze data, sometimes structured data from Warehouse and others raw data from other parties. Interpret results to obtain valuable and actionable insights for business. Provide a summary (storytelling) in a clear and compelling manner. Principal Accountabilities: The role holder is responsible for supporting Regional Operations Analytics in support of ensuring strong and sophisticated operations capabilities, aligned to Group standards of expectation. Main activities are: Business-as-Usual (BAU) Reporting and Monitoring: Maintain and run existing automated reports, dashboards, and processes. Ensure data pipelines and recurring outputs (weekly/ monthly/quarterly) are delivered on time and with high accuracy. Perform quality checks and troubleshoot data issues in regular monitoring. Data Requests: Respond to stakeholder data needs with quick and accuracy turnarounds (SQL queries, Python scripts or SAS pulls). Provide clear, validated datasets for business users and leadership. Translate ambiguous business questions into structured queries and outputs. Deep Dive / Exploratory Analysis: Responsible for complete project lifecycle to investigate business problems or trends using advanced analytics. Identify root causes, quantify impacts, and uncover actionable insights. Use Python, SQL and statistical methods to go beyond surface-level reporting. Communicate findings clearly through visuals (excel, Qlik, looker, plotly, matplotlib) and storytelling to leadership. Bachelors Degree in Accounting, Finance, Economics, Management with expertise in Data Science / Data Analytics / Business Research in fields: Banking, Credit, Risk, Financial Institutions. Advance English (written and oral) - no certifications (C1, B2), English level will be assessed during interviews as the whole process is in English. Proven experience in Python (intermediate level) for Data Manipulation, Data Automation, Data Cleaning. Proven experience in SQL (intermediate level) to write complex queries, filtering, grouping, joins. Proven experience in Excel (advance level) to clean data, manipulate data (pivots) and sometimes write macros in VBA. Previous experience in Banking / Financial Institutions is a plus. Exposure to Data Warehouses is a plus. Exposure to GCP / Hive is a plus. Experience: 1-2 years of experience in Data Analytics, Data Science, Credit Risk Management/Analytics, Business Analytics. Strong knowledge and understanding of financial services / banking. Proven professional experience working with Python, SQL, Git & Github. Intermediate Python for Data Analysis and Automation: pandas, numpy. Intermediate SQL: Query and manipulate data. Basic to Intermediate Git and Github: work with branches, commits and fix conflicts. Requires advanced knowledge of business practices, business methods and business systems utilized to ensure data is interpreted properly. Due to the urgent hiring need, candidates with immediate right to work locally and no relocation need will be prioritised. At HSBC we offer our colleagues a greater number of leave 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 Process Mexico Private LTD***