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Banco Bilbao Vizcaya Argentaria

Global banking and financial services

AML Risk Management Frameworks

Regulatory Compliance & EthicsPosted on Nov 10
Full-timeMexico City, CDMX, MexicoNo salary listedIn-person

About the Job

Requirements

  • A quantitative academic background with strong preparation in mathematics, statistics, programming, and quantitative research methods is required; relevant fields include actuarial science, mathematics, statistics, applied mathematics, physics, data science, computer science, operations research, engineering, economics, quantitative health and social sciences, and related disciplines.
  • Demonstrable experience in quantitative analysis using Python and SQL, processing complex databases, and building or applying mathematical or statistical models is required, along with documenting procedures and validating results.
  • Strong grounding in probability, descriptive and inferential statistics, multivariate analysis, and model selection and evaluation is required.
  • Ability to operationalize concepts, select observable variables and proxies, construct and validate indices and indicators, identify measurement bias, and evaluate whether results reasonably represent the phenomenon is required.
  • Practical proficiency in Python and SQL for data extraction, cleaning, transformation, analysis, and automation is required, including developing verifiable, efficient, and documented processes.
  • Ability to examine assumptions, recognize underreporting, data bias and limitations, compare methods, test scenarios, and communicate uncertainty is required.
  • Ability to formulate hypotheses, investigate anomalies, compare explanations, and propose evidence-based methodological solutions is required.
  • Ability to execute complex analyses independently and explain methods, results, and uncertainty to technical and nontechnical stakeholders is required, while maintaining attention to detail and confidentiality.
  • Clear and precise spoken and written Spanish is required for documenting methodologies and explaining results.
  • Functional English proficiency is required for consulting technical documentation, interacting with teams, and preparing work materials.

Responsibilities

  • Contribute to the design, development, execution, and improvement of entity-level methodologies for assessing money-laundering and terrorist-financing risk using a risk-based approach.
  • Design, apply, calibrate, and maintain entity-level money-laundering and terrorist-financing risk assessment methodologies.
  • Build and test quantitative components to analyze exposure by risk factor, assess control effectiveness, and consolidate results into an integrated risk view; document aggregation rules, assumptions, and interpretation limits.
  • Define observable variables and proxies; build and test simple or composite indicators; justify normalization, weighting, and aggregation criteria; examine underreporting, representativeness, source quality, and uncertainty.
  • Formulate hypotheses, select and apply descriptive, explanatory, or predictive methods appropriate to the problem, compare alternatives, and validate their suitability.
  • Conduct sensitivity, stability, and robustness tests, using multivariate techniques, latent-variable models, or simulations when appropriate.
  • Develop programs and automated processes for extracting, cleaning, transforming, and analyzing large-scale data using Python and SQL to build, execute, and validate quantitative risk assessment models.
  • Compare results with independent evidence and sources where possible, identify inconsistencies, maintain technical documentation and calculation records, and collaborate with Data, Compliance, and Risk teams to improve models and assess controls.
  • Explore and responsibly apply generative AI and advanced analytics tools to automate tasks, investigate methodological alternatives, and improve processes; verify accuracy, confidentiality, bias, and explainability in accordance with Bank policies.

Desired Qualifications

  • Experience designing, applying, or validating risk assessment methodologies, control-effectiveness assessments, composite indices, or risk classification, scoring, and aggregation models.
  • Experience developing, applying, or validating quantitative methodologies for measuring complex, multidimensional, partially observable, or uncertain phenomena such as poverty, inequality, vulnerability, informal economies, corruption, governance, or public health; relevant approaches may include composite indices, econometric methods, statistical inference, latent-variable models, sensitivity analysis, and uncertainty estimation.
  • Experience in anti-money laundering and terrorist-financing prevention, fraud, financial or operational risk, handling banking information, cloud platforms, AI solutions, or analytical visualization.
  • Postgraduate study or supplementary training in statistics, econometrics, data science, mathematical modeling, biostatistics, or risk assessment.
  • English at B2 level or equivalent.

About the Company

Banco Bilbao Vizcaya Argentaria

Global banking and financial services

Banco Bilbao Vizcaya Argentaria, commonly known as BBVA, is a multinational financial services group offering retail, commercial and corporate banking. It provides accounts, payments, lending, mortgages, investment products and financial guidance for individuals and businesses, alongside services for institutional clients. BBVA combines physical banking networks with digital channels and operates across multiple international markets. Its business spans everyday financial needs, business financing, wealth management and transaction services within the regulated banking industry. Its workforce combines specialist delivery, customer support and business operations.

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