Sanctions Analyst, Assistant Vice President

State Street

. Own day-to-day sanctions screening model operations as a key contact between Financial Crimes Compliance and IT.

Posted 10/9/2026full-timeQuincy • Massachusetts • United StatesLead💰 $80,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in sanctions screening model operations, including model performance monitoring, tuning, and validation within a financial services context. Proficient in Python and SQL for data analysis, with strong capabilities in machine learning and natural language processing to enhance model effectiveness.

Highest-signal resume keywords

Sanctions Screening Model OperationsMachine Learning ProficiencyModel Risk Management PrinciplesPython and SQL for Data AnalysisFinancial Crime Compliance Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model Performance MonitoringTuning Parameters AnalysisQuantitative Risk AssessmentStatistical AnalysisEntity Resolution TechniquesFalse-Positive/False-Negative AnalysisData Quality ManagementModel ValidationScoring MethodologiesAlert Generation Improvement

Soft Skills

Problem-Solving SkillsCritical Thinking SkillsCommunication SkillsProject Management SkillsCollaboration Skills

Tools & Technologies

DatabricksPandasNumPyScikit-learnCloud-Based Data EnvironmentsRelational Data StoresDistributed Data Stores

Industry Keywords

Financial Crimes ComplianceSanctions ScreeningModel Risk GovernanceRegulatory InteractionWatchlist Management

Tech Stack

Tools & technologies

CloudNumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Own day-to-day sanctions screening model operations as a key contact between Financial Crimes Compliance and IT.
Monitor model performance, thresholds, tuning parameters, alert volumes, risk distribution, and operational impacts.
Identify emerging issues and partner with technology teams on remediation.
Support data quality, list management, and model configuration activities.
Lead or support sanctions model upgrades, enhancements, and periodic recalibrations across enterprise screening platforms.
Perform technical design and review of rules-based logic, scoring methodologies, and supporting data pipelines.
Evaluate advanced modeling techniques including machine learning and natural language processing to improve alert generation and prioritization.
Conduct tuning analysis and validation testing, including false-positive/false-negative analysis, risk segmentation, and quantitative performance assessment.
Execute Model Risk Management activities, including annual reviews, change validations, and regulatory-triggered assessments.
Apply advanced data analysis to assess model effectiveness, risk coverage, and operational impacts.
Support and evaluate AI/ML screening capabilities, including named entity recognition, focality and severity scoring, and identity-based risk assessment.
Develop repeatable analytical tools and scripts in Python and SQL.
Support quantitative risk assessments including sensitivity analysis, outcome testing, and comparative analysis.
Assess entity resolution techniques and enriched data sources to improve match accuracy and risk differentiation.
Draft and maintain MRM documentation, model descriptions, validation artifacts, tuning memos, design specifications, and change logs.
Lead MRM engagements and coordinate inputs across FCC, IT, and Model Risk Governance.
Present model changes, results, and risks in governance forums.
Communicate recommendations on model design, performance, and risk to senior stakeholders.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, Finance, or a related quantitative or technical discipline.
6+ years of experience in financial crime compliance, sanctions screening, data science, quantitative analytics, or model risk management within a regulated financial services environment.
Demonstrated experience designing, reviewing, validating, or operating sanctions screening applications and models, including responsibility for model performance, tuning, and ongoing monitoring.
Strong quantitative and analytical skills with hands-on proficiency in machine learning, natural language processing (NLP), entity resolution, statistical analysis, model validation, or quantitative risk assessment.
Proficiency in Python and SQL for data analysis, model evaluation, and automation.
Proficiency in at least one analytical or data science platform or package, such as Databricks, pandas, NumPy, or scikit-learn.
Experience with modern analytical tools and cloud-based data environments, including relational and distributed data stores.
Strong understanding of model risk management principles, including model lifecycle governance, validation, documentation, and regulatory interaction.
Experience preparing technical and governance documentation and presenting analytical findings to senior stakeholders.
Strong expertise in AI/ML model development, validation, and governance.
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.

Benefits

Comp & perks

Retirement savings plan (401K) with company match
Basic life insurance
Medical insurance
Dental insurance
Vision insurance
Long-term disability insurance
Optional additional insurance coverages
Paid vacation
Paid sick leave
Short-term disability
Family care leave/responsibilities support
Employee Assistance Program
Incentive compensation, including eligibility for annual performance-based awards
Certain tax-advantaged savings plans
Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Employee networks