State Street
Financial Services
AML&SanctionsScreening–ArchitectandDevelopmentLead,VicePresident
Neural analysis suggests this role is
optimal for Lead candidates.
“AML & Sanctions Screening – Architect and Development Lead, Vice President at State Street. Skills: AML & Sanctions Screening, Architect and Development Lead, Machine Learning (ML), Large Language Models (LLMs), Agentic AI framework, AI-driven workflow orchestrations, Microservices, Big Data technologies, Python, Oracle, PL/SQL. Work closely with business users, developers, and testers to implement applications supporting enterprise regulatory compliance initiatives.. Design, develop, and implem”
What You'll Achieve.
Improve the global client lifecycle; Enhance the customer experience; Optimize end-to-end processes; Improve controls; Increase transparency; Implement a streamlined client onboarding process; Improve the client experience; Further State Street’s culture of operational risk excellence; Improve AML case investigation efficiency; Reduce false positives; Strengthen AML regulatory compliance; Ensure uninterrupted service to the business.
Industry & Context.
Problem solving; Ability to anticipate critical issues and risks and to take responsibility for resolution.
Plan and drive deployments on weekends.
What They're Looking For.
Must Have
Master's degree or equivalent degree in Computer Engineering, Computer Science, or a related technical field and 2 years of experience in a deeply technical role within a financial services firm, or in a product development or professional services organization within a tech company that serves the financial service market., Bachelor's degree or equivalent degree in Computer Engineering, Computer Science, or a related technical field, and 5 years of experience in a deeply technical role within a financial services firm, or in a product development or professional services organization within a technology company that serves the financial services market., Proven hands-on application design and development, Solid communication skills, including the ability to communicate at the right level with all parties involved, including management, developers, architects, and end users., Ability to adapt to strategic changes while possessing solid initiative and analytical skills and self-motivation., Ability to anticipate critical issues and risks and to take responsibility for resolution.
What You'll Do.
Work closely with business users
and testers to implement applications supporting enterprise regulatory compliance initiatives.
and implement database models and applications using Machine Learning (ML)
Large Language Models (LLMs) and Agentic AI framework to improve AML case investigation efficiency
reduce false positives and strengthen AML regulatory compliance.
Identify and build core re-useable functionality using AI-driven workflow orchestrations
and services such as micro services based architecture.
Build and optimize data pipelines
architectures and data sets for large and complex data.
Leverage hands-on experience with industry leading big data technologies such as Databricks
Kafka to handle large volume data and secure storage and provide data analytics capability.
Work with message queuing
stream processing (Stream Sets) and highly scalable data.
Work with Data modeling
Shell and Python to effectively store
manage and automate processes.
Interact with third party vendors in solution.
Work in a fast-paced agile environment and effectively collaborate across teams.
Work with multiple internal project stakeholders as well as infrastructure and support teams.
Drive the implementation of vendor applications for AML and Sanctions Screening area.
Work closely with the vendor IT professional services staff
and leads from other State Street applications interfacing with the Sanctions Screening applications.
Work with the corporate architecture team in State Street to ensure that the solutions built conform with corporate architectural standards and security controls.
Work with the production support teams in resolving production issues to ensure uninterrupted service to the business.
Plan and drive deployments on weekends.
How You'll Work.
Team & Collaboration
Working closely with business users, developers, and testers.; Working with multiple internal project stakeholders as well as infrastructure and support teams.; Working closely with the vendor IT professional services staff, and leads from other State Street applications.; Working with the corporate architecture team in State Street.; Working with the production support teams.; Effectively collaborate across teams.
Communication Scope
Ability to communicate at the right level with all stakeholders, including senior management, developers, architects, and end users located in different time-zones is required; Demonstrated solid communication skills, including the ability to communicate at the right level with all parties involved, including management, developers, architects, and end users.
Process & Methodology
Plan and drive deployments on weekends.
Full Job Description
**Who we are looking for:** Candidate will work as part of the broader regulatory compliance technology team that provides various enterprise wide compliance solutions such as AML & Sanctions Screening, KYC, Contract Management Workflow and AML-Transaction Monitoring. The person will improve the global client lifecycle with specific focus on enhancing the customer experience, optimizing end-to-end processes, improving controls, and increasing transparency. As a member of the implementation team, the candidate will introduce a streamlined client onboarding process that leverages ongoing Enterprise Data Governance and Management (EDGM) initiatives and creates rules-driven workflow with enhanced process controls to improve the client experience and to further State Street’s culture of operational risk excellence. The person will implement Unified Data Architecture, Big Data analytics, Data model design and Database development. Specific duties of the position include: \- Working closely with business users, developers, and testers to implement application to support State Street’s enterprise regulatory compliance initiatives. \- Designing, developing, and implementing database models and applications **using** **Machine Learning (ML), Large Language Models (LLMs) and Agentic AI framework to improve AML case investigation efficiency, reduce false positives and strengthen AML regulatory compliance** in State Street. \- Identifying and building core re-useable functionality **using** **AI-driven workflow orchestrations** , tools, and services such as micro services based architecture. \- Building and optimizing data pipelines, architectures and data sets for large and complex data sources; Leveraging hands-on experience with industry leading big data technologies such as Databricks, Spark, Kafka to handle large volume data and secure storage and provide data analytics capability. \- Working with message queuing, stream processing (Stream Sets) and highly scalable data sto
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