Remoto: Trabajo híbrido

Experteer OverviewAs a Senior Data Scientist in the Security Analytics team, you will design and operationalise AI-driven solutions to quantify and monitor third-party cyber risk. You'll build dynamic vendor risk scoring by fusing internal data, security posture indicators and threat intel, moving from periodic assessments to proactive risk management. You will own end-to-end model lifecycle, collaborating with TPCRM and cybersecurity teams to deliver scalable analytics and explainable insights that inform decision-making. This role offers impact across a fast-growing ING Hubs Spain initiative with a tech-first banking mission.Compensaciones / BeneficiosDesign, develop and maintain AI models to quantify, assess and monitor third-party cyber riskBuild dynamic vendor risk scoring by integrating multiple data sourcesApply predictive analytics and anomaly detection to improve risk identification and prioritisationExplore agentic AI solutions using LLMs and automated reasoning workflowsOwn the full model lifecycle: data prep, feature engineering, development, validation, deployment, monitoring and recalibrationCollaborate with TPCRM specialists,



cybersecurity teams and data engineers to translate risk challenges into scalable solutionsEnsure models are robust, explainable and compliant with governance, data quality and regulatory requirementsCommunicate findings and risk insights to technical and non-technical stakeholdersIdentify and develop new data science use cases for third-party cyber risk managementResponsabilidades7+ years of professional data science experience, including production solutionsMaster's degree or PhD in quantitative disciplineProficiency in Python and SQL with data science librariesExperience developing, validating and maintaining ML models end-to-endStrong statistics, predictive modeling, feature engineering and uncertainty assessmentExperience with heterogeneous datasets and translating business problems into analytical approachesFamiliarity with model deployment, monitoring, reproducibility and MLOpsAbility to lead technical initiatives and collaborate with multidisciplinary teamsStrong analytical, problem-solving and communication skillsRequisitos principalesflexible remunerationhealth insurance for you and familylife insurancetransport allowancepension planoffice flexibility and hybrid work options

📌 Senior Data Scientist - Cyber Risk Analytics (Madrid)
🏢 Ing Banking
📍 Madrid