LAM/MX Financial Crime Detection Manager

Brand:  HSBC
Area of Interest:  Risk and Compliance
Location: 

Cuauhtemoc, Distrito Federal, MX, 06500

Work style:  Hybrid Worker
Date:  10 Apr 2026

Role purpose

Financial Crime (FC) is dedicated to identifying and mitigating the financial crime threats facing HSBC today and in the future, leveraging advanced analytics, technology, and intelligence to protect our business, customers, and communities. FC combines data-driven insights, innovative technology, and close collaboration with stakeholders to ensure effective detection and prevention of financial crime, while also contributing to the evolution of regulatory compliance through practical innovation and thought leadership.

This role will support Transaction Monitoring (TM) by leading risk coverage analysis, model retraining, ongoing model support, and model monitoring activities, as well as providing guidance to new markets in the region as they launch Dynamic Risk Assessment (DRA). The position requires a strong analytical mindset and expertise in data analysis and model management, as well as a demonstrated ability to approach complex challenges with creative problem-solving. This role also works collaboratively across regional and global teams to ensure robust financial crime detection and compliance.

 

Main activities

  • Leading and managing risk coverage analysis for DRA, ensuring robust identification and mitigation of financial crime risks.
  • Overseeing model retraining, ongoing model support, and model monitoring activities to maintain the effectiveness and accuracy of DRA models.
  • Providing guidance and support to new markets in the region as they implement and launch DRA, ensuring consistent standards and best practices.
  • Driving the development, testing, and validation of innovative analytic techniques to enhance the bank’s ability to detect and predict financial crime threats.
  • Delivering a data-driven approach to strategic risk modelling, supporting both tactical and long-term objectives for financial crime prevention.
  • Ensuring all analytic techniques and models meet rigorous standards for regulatory approval, independent validation, and audit scrutiny.
  • Presenting strategic insights and recommendations to senior stakeholders to inform decision-making and drive continuous improvement.
  • Developing creative and effective solutions to complex challenges, fostering a culture of innovation and proactive risk management.

 

Requirements

  • Strong academic background in Mathematics, Computer Science, Statistics, Physics, or a related field (BSc required; MSc is a plus).
  • Excellent problem-solving skills, with a creative and analytical approach to complex challenges.
  • Solid programming skills and hands-on experience in data science, with a demonstrated ability to build and deploy AI models (including search, logical, probabilistic, and machine learning models).
  • Experience working with cloud-based platforms, specifically Google Cloud Platform (GCP), for data analytics and model management.
  • Outstanding communication skills (verbal, written, and through data-driven visualizations) with the ability to explain technical concepts to non-technical audiences.
  • Proficient English, both verbal and written, is required.
  • Basic understanding of the risks and harms associated with financial crime.
  • Strong time management and independent decision-making skills, with the ability to prioritize and deliver in a fast-paced environment.

 

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.