Compliance AI/ML Engineer for Financial Crime

NLP PEOPLE; Boston (MA); On-site; USD 70,000 - 119,000; Full time

Benefits offered by this job

401K matching

Health insurance

Paid time off

Job summary

State Street Corporation in Boston is seeking an Officer-level Compliance Technology Business Analyst / AI/ML expert to develop and operate data-driven solutions across AML, sanctions screening, and financial crimes platforms.

You will work hands-on with large datasets, ML models, and analytics pipelines, collaborating with data scientists, engineers, and compliance partners to ensure models are explainable, auditable, and compliant.

Qualifications

• Bachelor’s degree in Engineering, Business or Technology preferred.
• 5+ years in data analytics and financial crime domain experience.
• Experience with AML, sanctions, and transaction monitoring.

Responsibilities

• Develop, test, and enhance ML and analytics models for AML, sanctions screening, and transaction monitoring.
• Perform hands-on data analysis on large datasets to identify patterns and risk indicators.
• Support feature engineering, data exploration, and transformation to improve model performance.
• Train, evaluate, and tune models using metrics like precision and recall.
• Validate model outputs with compliance and operations to reduce false positives/negatives.
• Document assumptions, methodologies, and results for audits and regulatory reviews.
• Monitor model performance, detect drift, and recommend remediation.
• Collaborate with data engineers to ensure reliable data pipelines and inputs.
• Contribute to Agile processes with user stories, tests, and release support.
• Assist UAT by validating model behavior against business/compliance expectations.

Skills

Python

SQL

AML knowledge

KYC

JIRA

Agile

Data analysis

Communication

Education

Bachelor’s degree in Engineering, Business or Technology

Tools

Jupyter

Git

Job description

State Street Corporation in Boston is seeking an Officer-level Compliance Technology Business Analyst / AI/ML expert to develop and operate data-driven solutions across AML, sanctions screening, and financial crimes platforms.

You will work hands-on with large datasets, ML models, and analytics pipelines, collaborating with data scientists, engineers, and compliance partners to ensure models are explainable, auditable, and compliant.