Who we are looking for

This role is the Transaction Monitoring Lead Analyst responsible for the continued design and deployment of suspicious activity monitoring models relating to digital assets within State Street’s Financial Crimes Compliance function. The Lead Analyst’s responsibilities focus on the development, testing, implementation, and operation of State Street’s suspicious activity monitoring models and investigative tools as they relate to public blockchains and digital assets. 3+ years of suspicious activity monitoring of digital assets experience with responsibilities including data modeling or data analysis is key for success in the role.

You will help engineer state-of-the-art models, methods, and features required to support digital asset products and seamlessly integrate among other AML functions. You will document, monitor, and report on the performance of the models to key stakeholders. You will also leverage leading technology to develop POCs and test software efficacy based on industry experience across the digital assets, AML, and bank risk technology areas.

You will 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 help align priorities of business lines and Financial Crimes Compliance.

This role can be performed in a hybrid model, where you can balance work from home and office to match your needs and role requirements. Our standard hybrid model is 4 days on site and 1 day remote. Preferred location is Boston or Quincy, MA. We will also consider applicants from: Stamford, CT; Princeton and Clifton, NJ; Berwyn, PA;

Why this role is important to us

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 team members like you to navigate the organization and coordinate the actions of global team members. 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.

What you will be responsible for

As Digital Transaction Monitoring Lead Analyst, Assistant Vice President you will be responsible to:

• Support AML and business stakeholders with the development and documentation of suspicious activity monitoring models

• Fulfill model owner responsibilities, inclusive of model development documentation, model implementation plans, and ongoing monitoring

• Develop user stories to deploy and improve suspicious activity monitoring of digital transactions and entities

• Drive efficiency in the Financial Crimes Compliances operational processes through investigative tool design;

• Collaborating with other elements of State Street’s AML Compliance program as required, including the policy, risk assessment and KYC teams, including appropriate data sourcing and management options to support a variety of models and applications

• Foster confidence in the accuracy and effectiveness of models and processes through continuous challenge and ongoing monitoring
  

What we value

These skills will help you succeed in this role

• Direct experience working with blockchain analytics vendors and tools,

• Strong abilities in analytical thinking, problem solving, research, time management, and verbal and written communication

• Capable of producing high quality and/or final work product and solutions under strict regulatory or management deadlines

• Ability to take ownership and initiative, to negotiate, influence and build consensus and successfully navigate within a demanding and international environment of a leading global financial institution

Education & Preferred Qualifications

• 3+ years of suspicious activity monitoring of digital assets experience with responsibilities including data modeling or data analysis is a key experience
  

• Bachelor’s degree in a quantitative discipline, such as Mathematics, Physics, Statistics, Finance or related field, advanced degree preferred

• Experience utilizing and deploying blockchain analytics solutions

• Prior experience as a model owner preferred

• Proficiency with Agile software development methodology, DataBricks, and related database tools and technology preferred

• Working knowledge of related financial crime subject matter, such as KYC, sanctions screening, and risk assessments preferred