State Street
Digital Transactions Monitoring Lead Analyst, Assistant Vice President
State Street, Princeton, New Jersey, us, 08543
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 asset 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; 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, 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
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 Compliance operational processes through investigative tool design.
Collaborate with other elements of State Street’s AML Compliance program as required, including the policy, risk assessment, and KYC teams, to source and manage data for 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 analytical thinking, problem solving, research, time management, and verbal and written communication skills.
Capability to produce high‑quality final work product and solutions under strict regulatory or management deadlines.
Ability to take ownership and initiative, negotiate, influence, and build consensus while navigating 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.
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.
Salary Range:
$110000 - $177500 Annual. 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 a 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.
Discover more information on jobs at StateStreet.com/careers.
Read our CEO Statement.
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.
#J-18808-Ljbffr
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; 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, 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
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 Compliance operational processes through investigative tool design.
Collaborate with other elements of State Street’s AML Compliance program as required, including the policy, risk assessment, and KYC teams, to source and manage data for 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 analytical thinking, problem solving, research, time management, and verbal and written communication skills.
Capability to produce high‑quality final work product and solutions under strict regulatory or management deadlines.
Ability to take ownership and initiative, negotiate, influence, and build consensus while navigating 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.
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.
Salary Range:
$110000 - $177500 Annual. 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 a 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.
Discover more information on jobs at StateStreet.com/careers.
Read our CEO Statement.
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.
#J-18808-Ljbffr