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Joel Ramirez

@joelramirez

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Data Science Lead specializing in Financial Crime, AI-driven solutions, and automation for global operations.

Spain

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What I'm looking for

I seek leadership roles where I can drive AI-driven compliance solutions, scale CoE capabilities, collaborate with stakeholders, and deliver measurable automation and efficiency gains.

I am a Data Sciencist Lead with a strong background in Financial Crime and Compliance, focused on delivering AI-driven solutions that generate measurable business impact.

I have led multicultural teams to deliver projects across multiple countries, improving process efficiency and significantly reducing manual workloads through automation.

My experience spans AI model monitoring, transaction monitoring, BI for compliance decision-making, and governance alignment across global operations.

I combine technical expertise in machine learning and cybersecurity with stakeholder management and service excellence to implement scalable Center of Excellence models and drive continuous improvement.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Scientist

Current

Santander Bank

Apr 2022 - Present (3 years 6 months)

Led a multicultural team of 5 data scientists delivering 8 projects across 5 countries, improving process efficiency by 52% and automating monitoring controls to save 230 hours/month. Owned CoE governance, BI initiatives, global tool administration, and SLA-driven service excellence for Financial Crime Compliance.

Pyspark Python Machine Learning Financial Crime Transaction Monitoring BIツール Stakeholder Management

Cybersecurity AI Researcher

Eurecat

Nov 2021 - Mar 2022 (4 months)

Developed and implemented state-of-the-art AI algorithms for cybersecurity across international and national projects, producing technical documentation and proposals to support research initiatives.

Python Machine Learning Deep Learning Cybersecurity Research Documentation Algorithms

Digital Forensic Intern

Santander Global Tech

Jul 2019 - Jul 2020 (1 year)

Reduced Insider Threat false positives by ~60–80% and supported forensic investigations end-to-end while contributing to Insider Threat program development in collaboration with Carnegie Mellon.

Tool Improvements Digital Forensics Incident Response Tool Improvement Data Analysis Reporting