LAM/MX Financial Crime Intelligence Manager

HSBC; Chihuahua; On-site; MXN 450,000 - 750,000; Full time

Job summary

HSBC Holdings plc is seeking an experienced Risk Analysis & Discovery professional to research and analyze financial crime threats. You will translate large datasets into actionable intelligence for senior management, investigations, and regulators, identifying emerging themes with a global perspective.

Role requires 3–5 years in data analysis applied to financial crime, and strong skills in SAS, Python, SQL and Excel; Power BI/Tableau desirable.

Qualifications

• Experience applying data analysis to financial crime research.
• Ability to translate complex data into actionable insights.
• Exposure to sanctions, AML, or related regulatory topics is valued.
• Proficiency with SAS, Python, SQL, and data visualization tools.

Responsibilities

• Develop timely intelligence and analysis for financial crime threats.
• Design queries, models, and analytics to identify patterns and indicators.
• Create analyst production plans from stakeholder priorities.
• Monitor sanctions, regulatory changes and geopolitical events.
• Ensure regional and global alignment in analysis for HSBC.
• Present themes to senior audiences and regulators as needed.
• Collaborate with multi-disciplinary teams to translate requirements.
• Contribute to typology-driven data analytic models and tools.
• Follow controls to identify and manage risks.

Skills

Data analysis

Financial crime

Critical thinking

Communication

Attention to detail

Education

Economics

International relations

Data science

Security

Intelligence analysis

Tools

SAS

Python

SQL

Excel

Power BI

Tableau

Job description

HSBC Holdings plc is seeking an experienced Risk Analysis & Discovery professional to research and analyze financial crime threats. You will translate large datasets into actionable intelligence for senior management, investigations, and regulators, identifying emerging themes with a global perspective.

Role requires 3–5 years in data analysis applied to financial crime, and strong skills in SAS, Python, SQL and Excel; Power BI/Tableau desirable.