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CaixaBank
CaixaBank
Kvalificēta darbinieka vīzas sponsorsApdrošināšanaBanku darbībaKonsultācijas
CaixaBank ir Spānijā bāzēta finanšu pakalpojumu grupa, kas darbojas banku pakalpojumu, apdrošināšanas un konsultāciju jomā. Tā piedāvā banku pakalpojumus un ieguldījumu risinājumus privātpersonām un uzņēmumiem, izmantojot plašu filiāļu tīklu. Uzņēmums pievēršas arī talantu attīstībai, piedāvājot karjeras iespējas un talantu programmas, kas atbalsta profesionālo izaugsmi visās komandās.
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Vakances uzņēmumā

Operational Risk Data Scientist

Build predictive models and Google Cloud data pipelines to support CaixaBank’s operational risk management. Contribute to loss estimation, reporting, and risk mitigation, with work based in Madrid or Barcelona.

ESSpānijaHibrīdiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: spāņuDatu zinātnieks
BigQueryMākonisPythonSQL

Apraksts

  • Analyze large datasets to identify patterns, trends, and potential risks.
  • Develop predictive models using machine learning and statistical methods.
  • Recommend mitigation strategies to strengthen organizational resilience.
  • Automate risk detection and management with technology solutions.
  • Help design and implement the operational loss data model.
  • Build and assess hybrid machine learning and advanced statistical models to estimate operational losses.
  • Support process migration to Google Cloud using BigQuery, DBT, and Vertex AI.
  • Design scalable pipelines with traceability, reproducibility, and efficiency.
  • Automate reporting and prepare data for internal reports and the Operational Risk Committee.
  • Contribute to reports and communicate with senior management, Internal Validation, Audit, and supervisors.
  • Work with teams specializing in operational losses.

Prasības

  • University degree in mathematics, statistics, data science, data engineering, or a related field.
  • Experience analyzing advanced statistical or mathematical models, including distribution fitting, hypothesis testing, statistical validation, tail analysis and extreme distributions, Monte Carlo simulations, and time series.
  • Advanced R or Python skills.
  • Advanced SQL or SAS skills.
  • Experience with Google Cloud services, including BigQuery and Vertex AI.
  • Data engineering and optimization experience is an advantage, including SQL and DBT pipelines, GitLab, and efficient execution of SQL/DBT workflows.
  • Knowledge of non-parametric models, particularly for forecasting and text mining (NLP).
  • Strong critical analysis and synthesis skills.
  • Results orientation and ability to work independently.
  • Flexibility, foresight, and adaptability to change.
  • Strong communication, interpersonal, and teamwork skills.

Priekšrocības

  • Personalized onboarding and support for professional development.
  • An individual learning plan with access to an online platform and self-guided learning resources.
  • Comprehensive health insurance at no cost.
  • Pension plan with CaixaBank contributions.
  • Flexible compensation options for transport, training, language courses, childcare, and other expenses.
  • Flexible working arrangements, including remote work and flexible start times.
  • Top Employer certification.

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