AML Transaction Monitoring Senior Manager, Vice President

Overview

State Street Corporation is building a transformational Anti-Money Laundering (AML) program by executing innovative and effective transaction monitoring strategies.

AML Transaction Monitoring Senior Manager, Vice President. Your main responsibility is to present and demonstrate the soundness of AML transaction monitoring program tools and architecture to senior internal stakeholders (e.g., risk, audit) and regulators. You will help engineer state-of-the-art models, methods, and features required to support transaction monitoring and other AML functions, including migration to and utilization of cloud-based capabilities. You will document, monitor, and report on the performance of the models to key stakeholders.

While leading the data science 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 partner 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.

This role can be performed in a hybrid model (4 days on site, 1 day remote). Permissible office locations:
Boston and Quincy, MA;
Princeton and Clifton, NJ;
Stamford, CT;
Irvine and Sacramento, CA;
Kansas City, MO;
Berwyn, PA;
Austin, TX.

The team you will be joining plays an important role in the overall success of the organization. Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. To make that happen we need teams like yours to help navigate employees and the organization as a whole. In your role you will strive for cutting-edge solutions that are straightforward and scalable.

You will help us build resilience and execute day-to-day deliverables at our best. Join us if making your mark in the financial services industry from day one is a challenge you are up for.

• Present and demonstrate the soundness of AML transaction monitoring program tools and architecture to senior internal stakeholders (i.e., risk, audit) and regulators
• Support AML and business stakeholders with the development of analytic insights and models that are thoroughly tested and documented
• Foster confidence in the accuracy and effectiveness of models and processes through continuous challenge and ongoing monitoring
• Consume data from AML stakeholders including the FIU to translate qualitative AML risk factors into responsive risk models leveraging new technology
• Synthesize data into features and analytic frameworks to support ongoing financial crime risk mitigation strategies
• Support the application of economic, quantitative, and statistical skills in the development of models to support profitable growth while mitigating financial crime risk
• Develop statistical models and algorithms to identify data anomalies and support risk identification efforts
• Analyze and maintain appropriate data sourcing and management options to support a variety of models and applications
• Leverage strong business and communication skills to identify and resolve data gaps and code issues while mining data for insights and patterns

• Bachelor’s degree in a quantitative discipline (e.g., Mathematics, Physics, Statistics, Finance) or related field; advanced degree preferred
• 6+ years of experience in data management, data forensics, reference or transactional data management, data governance, data engineering/architecture, data modeling, or data analysis
• Experience with MDM tools or products (e.g., SAP MDG, Informatica)
• Strong SQL, R, Python experience
• Proficiency with Actimize, Fircosoft, Data Bricks, AWS, Informatica, and related database tools and technology preferred
• Proficiency with banking and financial markets preferred

• Experience influencing critical business outcomes in a matrix-based, global environment
• Experience working with data and analytic solutions and the science behind them, either as a builder/provider or as a client
• Familiarity with data…