Financial Crime Analytics Lead

HSBC; Ciudad de México; Presencial; MXN 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

HSBC Mexico City seeks a Detection Manager to lead development and monitoring of financial crime analytics models, combining advanced mathematics and programming to mitigate risk. You will work with regional FC teams and business lines to ensure robust detection, validation, and governance across models.

The role requires strong skills in SAS/Python, data science techniques, and the ability to communicate complex concepts to non-technical stakeholders. A BSc is required; MSc is a plus.

Formación

• Strong academic background in Mathematics, Computer Science, Statistics, Physics, or a related field.
• Proficiency in SAS and/or Python; experience with data analytics and ML.
• Excellent communication and documentation skills; English proficiency required.

Responsabilidades

• Lead design, development, testing, and validation of analytics/models for financial crime risk management.
• Ensure models comply with governance and regulatory expectations, ready for validation and audit.
• Deliver data-driven insights and recommendations to senior stakeholders; support decision-making.

Conocimientos

SAS

Python

Data analytics

AI/ML

Data visualization

Statistical modeling

Educación

BSc (Mathematics, CS, Statistics or Physics)

MSc (preferred)

Herramientas

SAS

Python

Descripción del empleo

HSBC Mexico City seeks a Detection Manager to lead development and monitoring of financial crime analytics models, combining advanced mathematics and programming to mitigate risk. You will work with regional FC teams and business lines to ensure robust detection, validation, and governance across models.

The role requires strong skills in SAS/Python, data science techniques, and the ability to communicate complex concepts to non-technical stakeholders. A BSc is required; MSc is a plus.