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Santander

Financial Crime Data Scientist

Santander

. Design, develop and maintain Transaction Monitoring models and analytical solutions to detect financial crime risks .

Posted 9/15/2026full-timeMilton Keynes • United KingdomMid-LevelSenior💰 £54,318 - £81,478 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing and maintaining Transaction Monitoring models and analytical solutions using Python and SQL, with a strong focus on statistical modeling and machine learning techniques. Proven ability to deliver analytical solutions in a regulated financial services environment while ensuring compliance with governance and regulatory standards.

Highest-signal resume keywords
Python ProgrammingSQL Data AnalysisMachine Learning Model DevelopmentTransaction Monitoring AnalyticsRegulatory Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Statistical ModellingData Mining TechniquesFeature EngineeringModel ValidationAnalytical Solution DevelopmentGenerative AIGraph AnalyticsNetwork AnalysisSASR
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication SkillsAttention to DetailCuriosity and Continuous Improvement Mindset
Tools & Technologies
GitCI/CD PipelinesData Science ToolsAnalytical Methodologies
Industry Keywords
Financial CrimeAnti-Money LaunderingCounter-Terrorist FinancingSanctionsAnti-Bribery & CorruptionRisk Management FrameworkModel Governance Standards

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Design, develop and maintain Transaction Monitoring models and analytical solutions to detect financial crime risks
  • Analyse large and complex datasets to identify patterns, anomalies and emerging financial crime typologies
  • Apply statistical modelling, machine learning and data mining techniques to solve Financial Crime use cases
  • Support the end-to-end model development lifecycle, including data exploration, feature engineering, model development, testing, validation and implementation
  • Partner with Financial Crime SMEs, Technology, Data Engineering and Risk teams to translate business requirements into analytical solutions
  • Monitor model performance and recommend enhancements to improve effectiveness, efficiency and customer outcomes
  • Produce technical documentation for governance, model validation and regulatory requirements
  • Present analytical findings and recommendations to technical and non-technical stakeholders
  • Contribute to improving analytical methodologies, tools and best practices across the Financial Crime Controls, Models & Analytics team
  • Ensure analytical solutions comply with Santander’s risk management framework, model governance standards and regulatory expectations

Requirements

What you’ll need
  • Experience developing models or analytics using Python and SQL on large and complex datasets (Required)
  • Experience developing production-ready machine learning or GenAI models (Required)
  • Experience delivering analytical solutions from concept through production deployment and ongoing monitoring (Required)
  • Experience with Transaction Monitoring analytics or Financial Crime detection models (Preferred)
  • Experience working within a regulated financial services environment (Preferred)
  • Experience with model governance, model validation or regulatory engagement (Preferred)
  • Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering or a related quantitative discipline (Preferred)
  • English language proficiency (Required)
  • Excellent Python programming skills for data science, machine learning and analytics (Required)
  • Advanced SQL skills for data extraction, transformation and analysis (Required)
  • Solid understanding of statistical modelling, machine learning algorithms and feature engineering (Required)
  • Experience using SAS or R (Preferred)
  • Knowledge of Transaction Monitoring systems, Anti-Money Laundering, Counter-Terrorist Financing, Sanctions and Anti-Bribery & Corruption (Preferred)
  • Experience with Generative AI, graph analytics or network analysis applied to Financial Crime (Preferred)
  • Experience using Git, CI/CD pipelines and software development best practices (Preferred)
  • Good analytical and problem-solving skills (Required)
  • Excellent communication skills for explaining technical concepts to non-technical stakeholders (Required)
  • Ability to manage multiple priorities and deliver high-quality outcomes in a fast-paced environment (Required)
  • Curiosity and continuous improvement mindset with passion for innovation and learning (Required)
  • High attention to detail and commitment to quality and robust governance (Required)

Benefits

Comp & perks
  • Competitive rewards that reflect the real impact you make and the value you bring
  • Wellbeing partners and access to wellbeing apps
  • Discounted gym and fitness access
  • Weekly online wellbeing classes
  • Flexible healthcare and mental health support
  • Enhanced family leave
  • Childcare options and tailored wellbeing support
  • Volunteering opportunities
  • Global growth opportunities, career development, learning new skills and international mobility opportunities