Description
**Application deadline:**
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2026\-05\-31
**Do you want to develop your professional career?**
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BBVA is a global company with over 160 years of history, operating in more than 25 countries where we serve over 80 million customers. We are more than 121\.000 professionals working in multidisciplinary teams with diverse profiles, including finance specialists, legal experts, data scientists, developers, engineers, and designers.
**What are we looking for?**
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The Anti-Money Laundering (AML) area will focus on investigating reports of unusual situations to identify customer networks or links involving atypical behaviors. This new role requires identifying transactional connections or links—by address, employer, participants, etc.
**Key responsibilities:**
* Ensure operational and demographic information for all customers (33 million) is maintained to identify customer links or networks exhibiting atypical transactional or structural behavior (e.g., address, phone numbers, familial relationships, etc.).
* Investigate all identified customer and user networks exhibiting atypical behavior related to AML/CFT, complying with the maximum timeframe established by the Authority and implementing the New Case Investigation System.
* Fully comply with local and corporate KPIs and develop new KPIs measuring efficiency and effectiveness.
* Participate in implementing the new module enabling integration of Analysis & Investigation with the new network analysis system or development, thereby reducing investigation time.
* Ensure identification of all related customers—or those with any type of link or atypical behavior—who must be investigated and/or reported to the Authority due to associated risks.
* Ensure investigation and reporting of all related customers or counterparties.
**Education**
Bachelor’s degree in Actuarial Science or Statistics (completed)
Master’s degree in Data Science (desirable)
Intermediate English (desirable)
**Experience**
\+5 years in AML/CFT (monitoring, analysis, and/or investigation of customers
exhibiting atypical behavior).
Python and PySpark programming (advanced)
**Essential knowledge**
Programming: PySpark, Python.
Specialization in AML, Risk Management, Internal Control, and Auditing
Analysis of billions of records (transactions, customers)
Detailed investigation of customer groups or networks to identify associated risks
and potential reporting obligations to the Authority.
Forensic analysis of customer networks identified as high-risk.
Comprehensive understanding of end-to-end customer, user, and employee operations.
**Competencies**
Data-driven decision-making
Empathy
Resilience
If you require any reasonable accommodation\* during your selection process, please inform the recruiter upon first contact.
At BBVA, we believe that having a diverse team makes us a better bank. For this reason, we actively support diversity, inclusion, and equal opportunity—regardless of ethnic or national origin, gender, age, religion, disability, sexual orientation, gender identity or expression, socioeconomic status, health condition, opinions, marital status, or any other factor undermining human dignity or impairing individuals’ rights and freedoms. We are confident that cultivating a collaborative and inclusive work environment allows us to bring forth our best selves.
**\*Reasonable accommodations include modifications and/or adaptations the company may implement during your selection process to enable you to participate appropriately.**
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**BBVA: Turning dreams into opportunities****Ready to create together?**
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