Wealth Transaction Monitoring Lead — AML Analytics

State Street; Boston (MA); Hybrid; USD 110,000 - 189,000; Full time

Job summary

State Street is seeking a Wealth Transaction Monitoring Lead in a hybrid Boston-area role to advance suspicious activity monitoring models for wealth and broker-dealer businesses.

You will design, test, implement, and operate monitoring models, document performance, and partner with stakeholders across FCC, IT, and risk teams to ensure effective controls and regulatory alignment. Strong SQL, Python, and AML expertise are essential, with prior model governance experience valued.

Qualifications

• Minimum 4 years of SA monitoring experience in a broker-dealer or Wealth environment.
• Strong SQL and Python skills with AML model development and transaction monitoring experience.
• Bachelor’s degree in a quantitative field; advanced degree preferred.
• Experience with AML transaction monitoring, surveillance, data analytics in broker-dealer or Wealth setting.
• Knowledge of broker-dealer products, client types, and related financial crime risks.
• Model owner or governance experience preferred.
• Proficiency with Agile, Databricks, and related tools.
• Knowledge of KYC, investigations, and risk assessments preferred.

Responsibilities

• Develop and document suspicious activity monitoring models and scenarios.
• Own model governance including documentation, testing, and monitoring.
• Collaborate with Wealth, IT, data stewards, and risk functions to align data sources.
• Translate business activities into data requirements and monitoring features.
• Produce audit-ready documentation and present analyses to stakeholders.
• Monitor model performance and investigate anomalies.
• Support proofs of concept and evaluate software efficacy.

Skills

SQL

Python

Data analysis

Data modeling

AML/Transaction monitoring

Agile

Education

Bachelor’s degree in quantitative discipline

Advanced degree preferred

Tools

Databricks

Job description

State Street is seeking a Wealth Transaction Monitoring Lead in a hybrid Boston-area role to advance suspicious activity monitoring models for wealth and broker-dealer businesses.

You will design, test, implement, and operate monitoring models, document performance, and partner with stakeholders across FCC, IT, and risk teams to ensure effective controls and regulatory alignment. Strong SQL, Python, and AML expertise are essential, with prior model governance experience valued.