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AML Data and Analytics Lead at State Street

Posted in Architecture 30+ days ago.

This job brought to you by eQuest

Type: Full-Time
Location: quincy, Massachusetts





Job Description:

Director AML Data Analytics, VP

State Street Corporation is building a transformational Anti-Money Laundering (AML) program by executing innovative and effective data and transaction monitoring strategies. As our Director of AML Data Analytics, you will develop new capabilities across AML systems including the design and execution of our new enterprise AML data lake.State Street Corporation is building a transformational Anti-Money Laundering (AML) program by executing innovative and effective data and transaction monitoring strategies.

As our Director of AML Data Analytics, you will develop new capabilities across AML systems including the design and execution of our new enterprise AML data lake.  In addition, you will oversee the engineering of state-of-the-art models, methods, and features required to support the new monitoring program.  While building a new team, you will leverage leading technology to develop POCs and test software efficacy based on industry experience across the AML and bank risk technology space.

You will also play a significant role in partnering with business units, data stewards, and IT teams for a better understanding of the customer journey across multiple lines of business and set the roadmap to support both business line transparency and AML compliance needs. Solutions developed by this multi-faceted team will support enterprise risk and business needs including transaction monitoring across our global business units as well as trade surveillance, market surveillance, ethics, and digital analytics.
 

Responsibilities include:


  • Collaborate and partner with business and AML stakeholders to establish a vision and create a culture that treats analytics as a corporate asset.

  • Consume data from AML stakeholders including the FIU to translate qualitative AML risk factors into responsive risk models leveraging new technology

  • Partner with MRM, ERM Quants, and data science teams to develop and test models in line with policy and regulatory expectations.

  • Apply economic, quantitative, and statistical skills in the development of models to support profitable growth while mitigating financial crime risk

  • Consult on innovative risk strategies using proprietary systems/data sources to achieve extensive business goals and objectives

  • Work with teams to implement protocols for the efficient capture/maintenance of data from numerous sources to maintain data governance standards

  • Identify and assess the value of new data sources and analytical techniques to ensure ongoing risk mitigation

  • Support ongoing data mining and database development along with required data transformation activities

  • Oversee and develop a highly productive team of Data Scientists and actively participate in the talent management process for hiring, onboarding, training and development of staff

Experience & Skills:


  • Master’s or bachelor’s degree in economics, statistics, or finance

  • 10+ years of experience with banking data, platforms, and enterprise data management

  • 10+ years of experience developing AML and related financial crime transaction monitoring and related control infrastructure

  • Strong SQL, R, Python, experience

  • Highly proficient with Actimize, Fircosoft, AWS, Informatica, and related database tools and technology

Competencies


  • Drive and commitment to the mission

  • Results oriented

  • Innovative

  • Customer focused





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