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Data Scientist, FCC Sanctions Models, Assistant Vice President

State Street

$80,000 - $132,500
Dec 8, 2025
Quincy, MA, US
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State Street is looking to enhance detection accuracy and operational efficiency in sanctions screening through advanced AI/ML models and data-driven strategies.

Requirements

  • Strong expertise in AI/ML model development, validation, and governance.
  • Advanced programming skills in Python and experience with data science frameworks.
  • Deep understanding of sanctions screening, watchlist management, and financial crime compliance.
  • Ability to manage complex, multi-stakeholder projects in Agile environments.
  • Excellent problem-solving and critical thinking skills with a focus on scalability and automation.
  • Familiarity with global sanctions and financial crime compliance frameworks, including OFAC/EU/UK/UN regulations, Travel Rule, and model risk management principles preferred.
  • Strong understanding of adapting sanctions models for ISO 20022 migrations, instant settlement, and digital assets/tokenization preferred.

Responsibilities

  • Lead design, development, and optimization of sanctions screening models, including AI/ML and rules-based frameworks.
  • Act as Subject Matter Expert (SME) for model tuning and validation as it relates to regulatory examinations.
  • Partner with Product Owners and Engineering teams to translate business requirements into scalable technical solutions.
  • Develop and maintain performance metrics, KRIs, and monitoring plans to ensure model stability and compliance.
  • Drive innovation through NLP, predictive analytics, and continuous learning techniques to reduce false positives and improve detection accuracy.
  • Collaborate with global stakeholders to align model strategy with enterprise compliance objectives and regulatory expectations.
  • Support cloud migration and integration of sanctions models into AWS environments.

Other

  • At least one or a combination of the following is required: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field.
  • 6+ years of experience in financial crime compliance, data science, or model risk management.
  • Direct experience leading, designing, or deploying AI/ML models and other workflow automation tools.
  • CAMS or equivalent FinCrime certification preferred.
  • Occasional travel to other local office locations will be required to foster collaboration and maintain strong partnerships across teams.