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Senior Data Scientist - Financial Crime

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NTT DATA

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Location:
United Kingdom , London

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are looking for an experienced Senior Data Scientist with strong expertise in Python, PySpark, and advanced analytics, along with a solid understanding of Financial Crime, Fraud Monitoring, and AML concepts. The ideal candidate will work on large-scale data to build, enhance, and optimize analytical and machine learning models used for fraud detection and financial crime prevention.

Job Responsibility:

  • Design, develop, and deploy data science and machine learning models for fraud detection, transaction monitoring, and financial crime use cases
  • Analyze large, complex datasets using Python and PySpark in distributed data environments
  • Build end-to-end analytics pipelines including data ingestion, feature engineering, model training, and validation
  • Apply statistical analysis, ML techniques, and pattern recognition to identify suspicious behaviors and emerging fraud typologies
  • Collaborate with business, compliance, and technology teams to translate financial crime requirements into analytical solutions
  • Monitor model performance, perform tuning, and ensure model stability and regulatory alignment
  • Document models, methodologies, and assumptions for internal governance and audit requirements
  • Stay updated on financial crime trends, fraud patterns, and regulatory expectations

Requirements:

  • 5+ years of experience in Data Science, Analytics, or a related role
  • Strong proficiency in Python (NumPy, Pandas, Scikit-learn, etc.)
  • Hands-on experience with PySpark / Spark for large-scale data processing
  • Solid understanding of Financial Crime domains including: Fraud Monitoring, Transaction Monitoring, AML / CTF concepts, Customer risk and suspicious activity patterns
  • Experience building and validating machine learning models (supervised & unsupervised)
  • Strong knowledge of data preprocessing, feature engineering, and model evaluation
  • Ability to communicate complex analytical findings to non-technical stakeholders

Additional Information:

Job Posted:
February 19, 2026

Work Type:
Hybrid work
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