AVP, Sanctions Screening & Model Risk Leader

State Street; Boston (MA); Hybrid; USD 80,000 - 140,000; Full time

Benefits offered by this job

401K with company match

Comprehensive benefits package

Job summary

State Street seeks an AVP Sanctions Analyst focused on Model Design & Model Risk Management to safeguard sanctions screening, leveraging AI/ML and NLP techniques. You will lead technical reviews, upgrades, and MRM lifecycle activities, partnering with FCC Technology, IT, and governance teams to ensure robust, well-governed models aligned with regulatory expectations.

The role combines compliance, tech, and quantitative risk, with hybrid work and regular in-office presence.

Qualifications

• Bachelor’s or Master’s degree in a quantitative/technical field.
• 6+ years in financial crime compliance, sanctions screening, data science, or model risk governance.

Responsibilities

• Act as a liaison between FCC and IT for ownership of sanctions screening models.
• Monitor model performance, thresholds, and tuning parameters; coordinate remediation with tech teams.
• Support data quality, list management, and model configuration for sanctions screening.
• Oversee ongoing monitoring of model outputs, including alert volumes and risk distribution.
• Lead upgrades, enhancements, and recalibrations across enterprise screening platforms.
• Perform design reviews of rules-based logic and data pipelines.
• Evaluate advanced modeling techniques (ML/NLP) to improve alert generation.
• Conduct tuning analyses and validation testing (false positives/negatives).
• Execute Model Risk Management calendar activities including annual reviews and change validations.
• Apply advanced data analysis to assess model effectiveness and risk coverage.
• Support AI/ML screening capabilities including NER, focality scoring, and identity-based risk assessment.
• Develop repeatable analytic tools (Python/SQL) for tuning and monitoring.
• Support quantitative risk assessments and comparative analyses of techniques.
• Assess entity resolution techniques to improve match accuracy.
• Engage with governance forums and prepare model change materials for senior stakeholders.

Skills

AI/ML model development

Python

SQL

Sanctions screening

Agile / project management

Education

Bachelor’s or Master’s in Data Science/CS/Statistics/Engineering/Finance

Tools

Python

SQL

Databricks

pandas

NumPy

scikit-learn

Job description

State Street seeks an AVP Sanctions Analyst focused on Model Design & Model Risk Management to safeguard sanctions screening, leveraging AI/ML and NLP techniques. You will lead technical reviews, upgrades, and MRM lifecycle activities, partnering with FCC Technology, IT, and governance teams to ensure robust, well-governed models aligned with regulatory expectations.

The role combines compliance, tech, and quantitative risk, with hybrid work and regular in-office presence.