At ING Hubs Spain we are looking for a Senior Data Scientist – Cyber Risk Analytics Your role and work environment: We are looking for an experienced Data Scientist to join our Security Analytics team, with a dedicated focus on Third-Party Cyber Risk Management (TPCRM). The role will be responsible for designing, developing and operationalising advanced analytical, machine learning and AI-driven solutions that strengthen our ability to assess, monitor and anticipate cyber risks associated with third-party vendors. A key initial focus will be the development of continuous risk models and dynamic vendor risk scoring, moving beyond periodic assessments towards more proactive, data-driven risk management. Working closely with TPCRM specialists and other cybersecurity stakeholders, you will take end-to-end ownership of an expanding portfolio of analytical and AI solutions, from initial design and development through to deployment and continuous improvement. As a Data Scientist you will: ~ Develop dynamic vendor risk scoring capabilities by integrating multiple internal and external data sources, including risk assessments, security posture indicators and threat intelligence. ~ Take end-to-end ownership of the model lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and recalibration. ~ Collaborate with TPCRM specialists, cybersecurity teams and data engineers to translate complex risk challenges into scalable analytical solutions. ~ Ensure models are robust, explainable and aligned with internal model governance, data quality and regulatory requirements. ~ Communicate analytical findings, model performance and risk insights effectively to technical and non-technical stakeholders. ~ Continuously identify and develop new data science use cases to enhance third-party cyber risk management capabilities. These are some of the qualities that we value the most for this role. Master’s degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline.



~7+ years of professional experience in data science, advanced analytics, statistical modelling or machine learning, preferably with experience delivering solutions into production. ~ Strong proficiency in Python and SQL, including hands-on experience with common data science and machine learning libraries. ~ Proven experience developing, validating and maintaining statistical and machine learning models throughout their lifecycle. ~ Familiarity with model deployment, monitoring, reproducibility and MLOps practices. Familiarity with cybersecurity concepts, cyber risk management, third-party risk management or cyber risk metrics (preferred). ~ Experience with cloud-based data and analytics platforms and production-grade data pipelines. Keeping both our customers and our colleagues needs in mind, you determine together which days you work at home and which you come to ING MAD to offer your best self. Health insurance. In addition, you will enjoy our versátil remuneration model, through a more tax-advantaged way, you will be able to access other services such as nursery, transport card, training aids… It doesn't matter where you live, we’ll help you get to the office. We’re building something exciting—and we want you to be part of it. ING is launching the new member of ING Hubs in Spain , an integral part of ING in charge of designing and delivering important technological and operational solutions to make banking frictionless for our customers. ING Hubs play a key role in our ‘Growing the difference’ strategy to become the best European bank. This will be our sixth global hub, joining a network of over 13,000 professionals in the Philippines, Poland, Romania, Slovakia, Türkiye and Spain. We’re not just a bank—we’re a tech company that happens to do banking. Our new hub will be a center of excellence for scalable, fast, and secure technology. We have global impact: We are agile: ING was the first bank to adopt agile at scale. Sustainability at the heart of what we do: We have a role to play in defining new ways of doing business that align economic growth with positive environmental and social impact.

📌 Data Scientist Senior (España)
🏢 Ing
📍 España