Screening Operations Rules Analyst – Assistant Vice President

State Street

. Act as a key contact between Financial Crimes Compliance and IT for day-to-day ownership of sanctions screening models .

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 Financial Crimes Compliance and Model Risk Management, with a strong focus on sanctions screening models, advanced data analysis, and machine learning techniques. Proficient in Python and SQL, capable of managing complex projects and communicating effectively with senior stakeholders.

Highest-signal resume keywords

Financial Crimes ComplianceModel Risk ManagementMachine LearningSanctions ScreeningData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model ValidationStatistical AnalysisQuantitative Risk AssessmentEntity ResolutionNatural Language ProcessingTuning AnalysisRisk SegmentationAlert GenerationPerformance AssessmentData Quality Management

Soft Skills

Problem-SolvingCritical ThinkingCommunicationProject ManagementCollaboration

Tools & Technologies

PythonSQLDatabricksPandasNumPyScikit-learnCloud-Based Data EnvironmentsRelational Data StoresDistributed Data StoresAnalytical Tools

Industry Keywords

Financial ServicesRegulatory ComplianceModel Lifecycle GovernanceGovernance DocumentationAgile Environments

Tech Stack

Tools & technologies

CloudNumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Act as a key contact between Financial Crimes Compliance and IT for day-to-day ownership of sanctions screening models
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, for 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 calendar 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-driven screening capabilities, including Named Entity Recognition, focality and severity scoring, and identity-based risk assessment
Develop repeatable analytical tools and scripts, preferably 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
Analyze the impact of entity resolution on alert quality, investigative efficiency, and risk coverage
Draft, update, 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 teams
Prepare and 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
Experience designing, reviewing, validating, or operating sanctions screening applications and models
Responsibility for model performance, tuning, and ongoing monitoring
Strong quantitative and analytical skills
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
Proficiency in at least one analytical or data science platform or package, such as Databricks, pandas, NumPy, scikit-learn, or equivalent tools
Experience with modern analytical tools and cloud-based data environments
Experience with relational and distributed data stores
Ability to analyze large, complex datasets
Strong understanding of model risk management principles, including model lifecycle governance, validation, documentation, and regulatory interaction
Experience preparing technical and governance documentation
Experience presenting analytical findings to senior stakeholders
Ability to manage complex, multi-stakeholder projects in Agile environments
Strong problem-solving and critical-thinking skills

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
Eligibility for certain tax-advantaged savings plans
Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Employee networks