AVP Sanctions Model Analytics & Risk Leader

State Street

Quincy (MA)

Hybrid

USD 80,000 - 140,000

Full time

3 days ago
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Job summary

State Street seeks a Sanctions Analyst AVP to lead model design, upgrades, and governance within FCC, focusing on sanctions screening models and MRM lifecycle. You will collaborate with FCC Technology, IT, and governance bodies to ensure robust, well-governed models and effective annual validations.

The role emphasizes advanced analytics, ML/NLP, entity resolution, and data pipelines, with hybrid work and regular in-office presence in Quincy, MA.

Qualifications

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, Finance, or related quantitative field.
  • 6+ years of experience in financial crime compliance, sanctions screening, data science, or model risk management.
  • Experience designing, reviewing, validating, or operating sanctions screening applications and models.
  • Strong quantitative and analytical skills with hands-on proficiency in ML/NLP/entity resolution.
  • Proficiency in Python and SQL for data analysis and automation.

Responsibilities

  • Act as a key liaison between FCC and IT for day-to-day ownership of sanctions screening models.
  • Monitor model performance, thresholds, and tuning; collaborate with tech on remediation.
  • Lead upgrades, recalibrations, and MRM calendar activities.
  • Conduct design reviews of models and data pipelines.
  • Develop tools in Python/SQL to support tuning and monitoring.

Skills

AI/ML expertise
Python programming
SQL proficiency
Data analysis
Stakeholder engagement
Model risk governance

Education

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

Tools

Databricks
pandas
NumPy
scikit-learn

Job description

State Street seeks a Sanctions Analyst AVP to lead model design, upgrades, and governance within FCC, focusing on sanctions screening models and MRM lifecycle. You will collaborate with FCC Technology, IT, and governance bodies to ensure robust, well-governed models and effective annual validations.

The role emphasizes advanced analytics, ML/NLP, entity resolution, and data pipelines, with hybrid work and regular in-office presence in Quincy, MA.

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