**Company Description:** We are more than 88,000 people who every day work toward our firm Purpose — Simplify and Enjoy Life More. We operate in 9 countries and consist of five major brands positioned across diverse industries: Falabella Retail, Sodimac, Banco Falabella, Tottus, and Mallplaza. Each of these brands shapes who we are, and together — as One Team — we strive daily to reinvent ourselves and exceed our customers’ expectations. A team full of dreams that makes things happen. We dare to launch initiatives and innovate, take risks, and generate opportunities that keep us at the forefront — driving us to reinvent ourselves to deliver the best shopping experience at every touchpoint with us. **Job Mission:** Detect and analyze unusual transactions related to AML/CFT risks using data mining techniques and statistical models. **Job Responsibilities:** Design the methodology and evaluation of statistical models and data mining to generate risk-factor segmentation alerts (Counterparties\- Products\- Channels\- Jurisdictions) Use advanced technological tools such as Python and R Studio to process and analyze large volumes of data, facilitating informed decision-making across the organization. Monitor and analyze data from various sources to detect patterns, anomalies, or suspicious behaviors that may indicate money laundering risks or violations of corporate ethics policies. Implement automated dashboards and control indicators for compliance program monitoring reports. Detect and analyze unusual, atypical, abnormal, or suspicious transactions in databases resulting from monitoring the company’s operations, as well as from counterparty assessments (restrictive lists). Perform report automations and integrations via Power Apps and Power Automate. Prepare compliance reports and present them to senior management and competent authorities as required. Stay updated on laws and regulations related to anti-money laundering and assess their impact on operations. **Requirements:** Data mining tools such as (KNIME), PYTHON, R, Power BI, SPSS. Statistical concepts Multitasking and attention to detail Professional background in Engineering, Statistics, Finance, or Economics. **Offer Conditions: