- 90,000 - 142,500
- Quincy, Massachusetts
90,000 - 142,500
Quincy, Massachusetts
$90,000 - $142,500 Annual
, MA) The AML Data Analyst will help develop new capabilities across our AML systems, including the design and execution of State Street's new enterprise AML data lake. In addition, the position will help engineer state-of-the-art models, methods, and features required to support the new monitoring program. While building a new team, the position will leverage leading technology to develop POCs and test software efficacy based on industry experience across the AML and bank risk technology space. The AML Data Analyst 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 the AML Data Analyst 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. Specific duties of the position include Supporting AML and business stakeholders with the development of analytic insights into data to support project deliverables Consuming data from AML stakeholders including the FIU to translate qualitative AML risk factors into responsive risk models leveraging new technology Synthesizing data into features and analytic frameworks to support ongoing financial crime risk mitigation strategies Supporting the application of economic, quantitative, and statistical skills in the development of models to support profitable growth while mitigating financial crime risk Developing statistical models and algorithms to identify data anomalies and support risk identification efforts Testing and maintaining data layer integrity while performing peer code reviews Leveraging strong business and communication skills to identify and resolve data gaps and code issues, while mining data for insights and patterns Supporting ongoing data engineering and database development along with required data transformation activities Applying experience in data management, data forensics, reference and transactional data management, data governance, data engineering, data architecture, data modeling, and data analysis Applying experience with MDM tools and products, SQL, R, and Python Utilizing Actimize, Fircosoft, AWS, Informatica, and related database tools and technology Implementing experience working with data and analytic solutions and the science behind them and Applying familiarity with data privacy laws and controls in the performance of assigned job duties. Telecommuting permitted pursuant to company policy.
Anti-Money Laundering (
State Street Bank and Trust Company Quincy
Minimum requirements are Master's degree or its equivalent in Computer Science, or a directly related technical field plus 1 year of experience in data management, data forensics, reference or transactional data management, data governance, data engineering data architecture, data modeling, or data analysis experience.
Must Have Strong SQL, R, Python, Spark, and Hadoop experience required Experience working with data and analytic solutions and the science behind them, either as a builder/provider of these solutions or as a client that uses them Strong skills building positive business partner relationships Strong networking skills and ability to work across multiple organizations to accomplish diverse goals Excellent verbal and written communication and collaboration skills to effectively communicate with both business and technical development teams Proven ability to work in a fast paced, results oriented environment and Familiarity with data privacy laws and controls (like GDPR) Competencies. (Unless otherwise indicated, State Street is
seeking the stated ability in the skills listed above with no specific number of years or amount of experience required. All experience can be gained concurrently.)
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An EOE.
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Salary Range
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.