AVP Sanctions Model Design & Risk – Hybrid

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

Benefits offered by this job

401K with company match

Paid time off

Employee Assistance Program

Job summary

State Street Corporation is seeking a Sanctions Analyst AVP to lead design, validation, and governance of sanctions screening models within FCC. You will own model performance, data pipelines, and complex validation across platforms in a hybrid in‑office setting, collaborating with IT and governance teams.

The role emphasizes AI/ML enhancements, NLP for entity matching, and robust documentation. A strong quantitative background and Python/SQL skills are essential for scalable, compliant risk

Qualifications

• Bachelor’s or Master’s degree in a quantitative or technical field.
• 6+ years of experience in financial crime compliance or sanctions screening.
• Strong programming and data analysis proficiency in Python and SQL.
• Experience with model risk management and validation.

Responsibilities

• Own sanctions model design, upgrades, and validation across platforms.
• Monitor model performance, thresholds, and alert volumes.
• Lead MRMs calendar activities and governance engagements.
• Develop tooling for tuning, monitoring, and reporting in Python/SQL.

Skills

Python

SQL

AI/ML modelling

NLP

Education

Bachelor's/Master's degree in Data Science/CS/Statistics

Tools

Databricks

pandas

NumPy

scikit-learn

Job description

State Street Corporation is seeking a Sanctions Analyst AVP to lead design, validation, and governance of sanctions screening models within FCC. You will own model performance, data pipelines, and complex validation across platforms in a hybrid in‑office setting, collaborating with IT and governance teams.

The role emphasizes AI/ML enhancements, NLP for entity matching, and robust documentation. A strong quantitative background and Python/SQL skills are essential for scalable, compliant risk