LAM/MX Financial Crime Intelligence Manager (Hybrid)

HSBC Holdings plc

Cuauhtémoc

Hybrid

MXN 1.200.000 - 2.000.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

HSBC Holdings plc is seeking an experienced LAM/MX Manager Financial Crime Analysis to join the Risk Analysis & Discovery team. You will lead financial crime research, intelligence collection and analysis across the LAM region, shaping timely insights for senior management.

The role requires advanced data skills (SAS, Python, SQL, Excel) with Power BI/Tableau desirable. You will translate complex data into clear recommendations and collaborate with stakeholders to support remediation and

Qualifikationen

  • Degree in economics, international relations, data science or related field.
  • 3–5 years' experience in data analysis applied to intelligence or financial crime.
  • Experience in financial services or security/intelligence is valued.
  • Advanced experience with SAS, Python, SQL and Excel; Power BI/Tableau desirable.

Aufgaben

  • Develop timely intelligence and analysis to identify financial crime threats.
  • Design, develop and maintain data analysis queries and models.
  • Monitor sanctions, regulatory developments and geopolitical events.
  • Communicate findings to senior audiences and regulators as needed.
  • Collaborate with stakeholders to deliver analytical objectives.

Kenntnisse

Data analysis
Qualitative analysis
Quantitative analysis
Python
SQL
Excel
Power BI
Tableau
SAS
English communication

Ausbildung

Degree in economics, international relations, data science, security, or related field
Postgraduate qualification in intelligence analysis, security or data science desirable

Tools

SAS
Python
SQL
Excel
Power BI
Tableau

Jobbeschreibung

HSBC Holdings plc is seeking an experienced LAM/MX Manager Financial Crime Analysis to join the Risk Analysis & Discovery team. You will lead financial crime research, intelligence collection and analysis across the LAM region, shaping timely insights for senior management.

The role requires advanced data skills (SAS, Python, SQL, Excel) with Power BI/Tableau desirable. You will translate complex data into clear recommendations and collaborate with stakeholders to support remediation and

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