Experteer Overview As 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 / Beneficios
• Design, develop and maintain AI models to quantify, assess and monitor third-party cyber risk
• Build dynamic vendor risk scoring by integrating multiple data sources
• Apply predictive analytics and anomaly detection to improve risk identification and prioritisation
• Explore agentic AI solutions using LLMs and automated reasoning workflows
• Own the full model lifecycle: data prep, feature engineering, development, validation, deployment, monitoring and recalibration
• Collaborate with TPCRM specialists, cybersecurity teams and data engineers to translate risk challenges into scalable solutions
• Ensure models are robust,



explainable and compliant with governance, data quality and regulatory requirements
• Communicate findings and risk insights to technical and non-technical stakeholders
• Identify and develop new data science use cases for third-party cyber risk management Responsabilidades
• 7+ years of professional data science experience, including production solutions
• Master's degree or PhD in quantitative discipline
• Proficiency in Python and SQL with data science libraries
• Experience developing, validating and maintaining ML models end-to-end
• Strong statistics, predictive modeling, feature engineering and uncertainty assessment
• Experience with heterogeneous datasets and translating business problems into analytical approaches
• Familiarity with model deployment, monitoring, reproducibility and MLOps
• Ability to lead technical initiatives and collaborate with multidisciplinary teams
• Strong analytical, problem-solving and communication skills Requisitos principales
• adaptable remuneration
• health insurance for you and family
• life insurance
• transport allowance
• pension plan
• office flexibility and hybrid work options

📌 Senior Data Scientist (Madrid)
🏢 Ing Banking
📍 Madrid