Operational Risk Data Scientist

12 октября 2026 г.

Гибрид

Middle

Madrid, Barcelona

Indeed

Описание

A leading financial group is hiring a Data Scientist for its Operational Risk direction, based at the corporate services in Madrid or Barcelona. The role focuses on analyzing large volumes of data to identify patterns and trends indicating potential risks, developing predictive models with machine learning and advanced statistics, and automating risk detection and management. Key projects include designing a new operational losses data model, migrating processes to Google Cloud, and preparing internal reporting for senior management, validation, audit and regulators.

Обязанности

Analyze large volumes of data to identify patterns and trends indicating potential risks
Develop predictive models using machine learning and statistical models to predict risk events and their impact
Propose mitigation strategies to improve organizational resilience
Automate risk detection and management through technological solutions
Collaborate on the design and implementation of the new operational losses data model capturing new information sources
Develop and evaluate hybrid models combining ML algorithms and advanced statistics for operational loss estimation
Address challenges of scarce and heterogeneous data, heavy-tailed distributions and extreme event estimation
Collaborate on migrating processes to Google Cloud with BigQuery, DBT and Vertex AI
Design scalable pipelines ensuring traceability, reproducibility and efficiency of predictive models and reporting automation
Prepare data for internal reporting mainly for the Operational Risk Committee
Communicate with Senior Management, Internal Validation, Audit and Supervisors on reports
Interact with the other specialized operational loss management teams

Требования

Higher degree in mathematics, statistics, data science, data engineering or similar
Experience analyzing advanced statistical and mathematical models, hypothesis testing and statistical validation
Knowledge of distribution fitting, tail and extreme distribution analysis, Monte Carlo simulations and time series analysis
Advanced programming skills in R and Python
Advanced knowledge of database tools SQL and SAS
Hands-on experience with Google Cloud Services including BigQuery and Vertex AI
Knowledge of non-parametric models, especially for forecasting and text mining with NLP
Valued: data engineering and optimization, SQL and DBT pipelines, version control with GitLab
Critical analysis and synthesis skills with identification of improvements and solution initiatives
Result orientation and autonomy in developing assigned tasks, flexibility and adaptability to change
Good communication with other departments and teamwork across different areas of the organization

Условия

Onboarding program and personalized support for professional development
Individual training path with access to an extensive online learning platform
Fully free comprehensive health insurance plus pension plan contributions
Flexible compensation for transport, training, languages, childcare and more
Flexibility measures including remote work and flexible entry time
Work location can be either the corporate services of Barcelona or Madrid

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Operational Risk Data Scientist

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