Lam/mx financial crime detection analyst
lam/mx financial crime detection analyst
brand: hsbc
area of interest: risk and compliance
location: cuauhtemoc, distrito federal, mx, 06500
work style: hybrid worker
date: 12 feb 2026
role purpose
financial crime (fc) focuses on the specific financial crime threats the firm faces now and in the future, pioneering the techniques and technology that protect our business, our customers, and the many communities in which we operate from the harms associated with financial crime. Fc harnesses intelligence, analytics, technology, investigation, information sharing, and public‐private partnership to achieve this end, always seeking the most effective and efficient means. Fc is also partnering with other areas in compliance to build the case for a more efficient and effective regulatory approach by defining a potential new regulatory landscape based on practical, tested innovation and serving as a thought leader in the ongoing public debate on the future of regulatory compliance.
the risk analytics and modelling role will develop industry‐leading analytical work focused on providing cutting‐edge analytic support to intelligence and investigations while pioneering techniques for discovering and targeting actual financial crime risk. The nature of the role requires intermediate to advanced mathematical and programming background oriented to data analysis.
main activities
* driving systemic management of risk across the bank
* promoting the conceiving, development, testing, and validation of incremental and disruptive analytic techniques to protect the bank and predict financial crime threats
* promoting efficient and effective outcomes across investigations and analysis, allowing fast iteration and deployment of a variety of experimental techniques into operational systems
* delivering a data‐driven approach to strategic risk modelling for financial crime risk
* engaging in active mitigation of financial crime risks
* ensuring experimental techniques are rigorous and purpose‐built to allow for ease of approval, regulatory scrutiny, and independent validation
* drawing strategic context and conclusions, and presenting those findings orally and in writing to senior stakeholders to drive strategic and tactical decisions
requirements
* intermediate to advanced mathematical background
* desirable knowledge on basic data science
* python programming focused on data analysis (highly required)
* strong data visualization and communication skills
* familiar with technological tools used in big data (hadoop, spark, bigquery)
* knowledge in analytics methodologies for ai/ml, supervised learning, unsupervised learning, llms, etc.
* basic understanding of the harms associated with the threat of financial crime
* ease to adopt change and develop in an environment focused on innovation and generation of new ideas
* excellent communication and interpersonal skills
* problem solving ability
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.
financial crime detection analytics manager
financial crime detection analytics manager
role purpose
financial crime (fc) focuses on the specific financial crime threats the firm may face now or in the future, pioneering the techniques and technology to protect our business, customers, and the many communities in which we operate from the risks associated with financial crime. Fc harnesses intelligence, analytics, technology, investigation, information sharing, and public‐private partnership to achieve this end, always seeking the most effective and efficient means. Fc partners with other areas within compliance to build strong monitoring for a robust and efficient regulatory approach.
the mx/lam customer dynamic risk assessment manager provides support to various business groups and functions, is involved in data analysis, model and strategy development and implementation, reporting and data management. These analyses shape the information basis for strategic planning by the senior management for businesses and enables effective decision making to satisfy business needs and requirements, along with addressing unforeseen challenges.
main activities
* data quality analysis, segmentation, and analytical insights
* trend analysis and targeted solution design to reduce noise in transaction monitoring model(s)
* design and implementation of basic and advanced contextual risk models for better and effective transaction monitoring
* perform regular analysis of data and provide multi‐dimensional views of the data to support financial crime detection; design and deploy visualizations to facilitate senior management decision making at tactical as well as strategic level
* leverage consulting skills to identify process improvement opportunities and demonstrate the value proposition of analytical solutions among stakeholders
* perform research and discovery on available data to come up with new and enhanced analysis, leverage advanced statistical/mathematical modelling where required to provide future state analysis and participate in proactive strategy building
* maintain regular communication with business to understand changes in requirements, feedbacks, and recommendations
* ensure adherence with all applicable compliance policies (data security policy, aml, operational risk, functional manual, group compliance manual, audit recommendations, internal control requirements, regulatory guidelines) and business standards of organization as applicable. Take timely action on audit comments and be able to demonstrate compliance with internal control
requirements
* bachelor's degree in computer science, statistics, mathematics, economics or any other quantitative discipline
* experience working in analytics (bfsi domain would be a plus) with excellent data engineering skills using sql, python/r, hive/scala/spark
* knowledge and execution of statistical techniques required
* highly skilled in communicating complex ideas, machine learning and advanced analytics techniques
* strong analytical thought process and aptitude for problem solving
* advised in using ms office with exceptional ms excel skills; exposure to vba will be advantageous
* experience in visualization technologies such as qlikview/spotfire/tableau would be a plus
* excellent communication skills (both verbal and written)
* proficient english is required, both verbal and written
* excellent time management, as the position requires independent decision making
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