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SS
Hybrid Assistant Vice President, Sanctions Application Design & Model Risk
Posted 18 hours ago
About the role
- Sanctions Analyst managing sanctions screening models and Model Risk Management at State Street. Collaborating with technology and stakeholders for robust compliance and model performance.
Responsibilities
- Act as a key point of contact between FCC and IT for day‑to‑day ownership of sanctions screening models
- Monitor model performance, thresholds, and tuning parameters; identify emerging issues and partner with technology teams on remediation
- Support data quality, list management, and model configuration activities related to sanctions screening
- Oversee ongoing monitoring of model outputs, including alert volumes, risk distribution, and operational impacts driven by business growth and regulatory changes
- Lead and/or support sanctions model upgrades, enhancements, and periodic recalibrations across enterprise screening platforms
- Perform technical design and review of sanctions models
- Evaluate and enhance the use of advanced modeling techniques, including machine learning and natural language processing (NLP)
- Conduct tuning analysis and validation testing
- Execute Model Risk Management (MRM) calendar activities
- Apply advanced data analysis techniques to assess model effectiveness, risk coverage, and operational impacts
- Develop repeatable analytical tools and scripts (preferably in Python and SQL)
- Assess and support entity resolution techniques
- Draft, update, and maintain high‑quality MRM documentation
- Lead MRM engagements to completion
Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, Finance, or a related quantitative or technical discipline
- 6+ years of experience in financial crime compliance, sanctions screening, data science, quantitative analytics, or model risk management within a regulated financial services environment
- Demonstrated experience designing, reviewing, validating, or operating sanctions screening applications & models, including responsibility for model performance, tuning, and ongoing monitoring
- Strong quantitative and analytical skill set with deep, hands‑on proficiency in at least one advanced analytics or modeling discipline, including machine learning, natural language processing (NLP), or entity resolution techniques, or alternatively statistical analysis, model validation, and quantitative risk assessment
- Proficiency in Python and SQL for data analysis, model evaluation, and automation of repeatable analytical processes, with demonstrated proficiency in at least one analytical or data science platform or package (e.g., Databricks, pandas, NumPy, scikit‑learn, or equivalent tools)
- Experience working with modern analytical tools and cloud‑based data environments, including relational and distributed data stores, with the ability to analyze large, complex datasets to assess model effectiveness, alert quality, risk coverage, and operational impacts
- Strong understanding of model risk management principles, including model lifecycle governance, validation, documentation, and regulatory interaction
- Experience preparing clear, well‑structured technical and governance documentation and presenting analytical findings to senior stakeholders.
Benefits
- Permanent contract from day one
- Additional holidays (Birthday Day Off, 3rd and 5th year anniversary Day Off)
- Gold Medical Package for employees and their families (partner and children)
- Premium life insurance package and private pension plan
- Wide range of soft skills training, technical workshops, language classes and development programs
- Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice
- Variety of well-being programs
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