Wealth Transaction Monitoring Lead Analyst, Vice President

Who we are looking for

This role is the Wealth Transaction Monitoring Lead responsible for the continued design and deployment of suspicious activity monitoring models within State Street’s Financial Crimes Compliance (FCC) function. The responsibilities focus on the development, testing, implementation, and operation of suspicious activity monitoring models and investigative tools designed to mitigate the financial crime risks specific to the Wealth and broker-dealer business.

A minimum of 4 years of experience in suspicious activity monitoring within a broker-dealer or Wealth business environment, including responsibilities in data analysis and/or data modeling, is key to success in this role. Strong hands-on data analytical skills, combined with demonstrated analytical expertise in AML and transaction monitoring, are required.

You will help engineer state-of-the-art models, methods, and features required to support Wealth and broker-dealer products and integrate them effectively with other AML functions. You will document, monitor, and report model performance to key stakeholders. You will also leverage leading technology to develop proofs of concept and evaluate software efficacy based on industry experience across broker-dealer operations, AML, model development, and bank risk technology.

You will play a significant role in partnering with Wealth business stakeholders, data stewards, FCC, IT teams and regulators to understand and explain customer and transaction journeys, identify relevant financial crime risks, and align business priorities with the design and operation of effective transaction monitoring controls.

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; and 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, 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 who can navigate the organization and coordinate the actions of global stakeholders. In this role, you will pursue solutions that are effective, 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 ready to take on.

What we value

As Wealth Transaction Monitoring Lead, Vice President, you will be responsible for:

• Supporting FCC and Wealth business stakeholders in the development and documentation of suspicious activity monitoring models and scenarios.
• Fulfilling model owner responsibilities, including model development documentation, implementation plans, testing support, change governance, and ongoing monitoring.
• Developing business and technical requirements, including user stories, to deploy and enhance monitoring of Wealth and broker-dealer customers, accounts, transactions, counterparties, and entities.
• Applying SQL, Python, and data analytical techniques to profile data, engineer features, assess model or scenario performance, investigate outliers, and support threshold or segmentation analysis.
• Translating broker-dealer business activities, products, customer behaviors, and financial crime risks into data requirements, monitoring features, scenarios, and investigative workflows.
• Driving efficiency in FCC operational processes through the design and enhancement of investigative tools and analytics.
• Collaborating with other elements of State Street’s AML Compliance program, including policy, risk assessment, KYC, sanctions, investigations, and data management teams, to identify appropriate data sources and controls supporting models and applications.
• Partnering with Wealth business stakeholders, IT, data stewards, model risk management, and other control functions throughout model development, testing, implementation, validation, and ongoing monitoring.
• Building confidence in the accuracy and effectiveness of models, scenarios, data, and processes through continuous challenge, performance assessment, issue investigation, and ongoing monitoring.
• Producing clear, complete, and audit-ready documentation and communicating technical analysis to business, technology, model risk, audit, and regulatory stakeholders.

Education & Preferred Qualifications

• Minimum 4 years of experience in suspicious activity monitoring within a broker-dealer or Wealth business environment, including data analysis, data modeling, and risk identification.
• Strong hands-on SQL and Python skills, coupled with demonstrated analytical expertise in AML model and scenario development and transaction monitoring.
• Bachelor’s degree in a quantitative discipline, such as Mathematics, Physics, Statistics, Finance, Computer Science, Data Science, or a related field; an advanced degree is preferred.
• Experience utilizing and deploying AML transaction monitoring, trade or transaction surveillance, data analytics, or investigative solutions in a broker-dealer or Wealth environment.
• Knowledge of broker-dealer products, client types, account structures, transaction types, and applicable financial crime risks.
• Prior experience as a model owner or in a comparable model governance role is preferred.
• Proficiency with Agile software development methodology, Databricks, and related database tools and technology is preferred.
• Working knowledge of related financial crime subject matter, such as KYC, investigations, and risk assessments, is preferred.

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.

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.