Artificial Intelligence & Machine Learning, Off (US Only)
United States
Full-time
Remote
$70K/yr - $119K/yr
Entry, Mid Level
State Street is a global investment firm focused on helping institutional investors manage risk and drive performance. They are seeking an Officer-level Compliance Technology Business Analyst with expertise in AI and Machine Learning to support data-driven solutions in financial crime compliance, particularly in Anti-Money Laundering and Sanctions Screening.
Develop, test, and enhance machine learning and advanced analytics models supporting AML, sanctions screening, transaction monitoring, and alert prioritization
Perform hands‑on data analysis using large transactional and reference datasets to identify patterns, anomalies, and risk indicators related to financial crime
Support feature engineering activities, including data exploration, feature selection, and transformation to improve model performance and stability
Train, evaluate, and tune models using appropriate techniques and performance metrics (e.g., precision, recall, false‑positive reduction)
Assist in validating model outputs by analyzing false positives, false negatives, and alert quality in partnership with compliance and operations teams
Contribute to model documentation, including assumptions, methodologies, limitations, and performance results, to support audit and regulatory review
Support ongoing model monitoring and performance tracking, identifying drift, degradation, or data quality issues and recommending remediation
Work with data engineering teams to understand data pipelines, resolve data issues, and ensure model inputs remain accurate and reliable
Participate in Agile delivery processes, contributing to user stories, testing activities, and release support for AI/ML solutions
Support User Acceptance Testing (UAT) by validating model behavior against business and compliance expectations
Stay current on emerging AI/ML techniques, open‑source tools, and industry trends relevant to financial crime and compliance analytics
Be able to translate complex ideas into cogent business requirements documents
Be proficient creating BRDs and data mapping documents
Collaborate with cross-functional teams to identify requirements, provide guidance, ask and respond to questions and assist with resolving complex issues
Ensure that any gaps identified in the BRD are addressed and rectified by the relevant team
Support development and testing teams by answering questions and updating documentation as needed based on feedback
Be responsible for communication, resolution, and potential escalation of critical issues
Work with the Project Manager and Product Owner to create and manage user stories using Jira
Support team in triaging issues found during testing
Be able to work in a complex, deadline driven organization on projects with minimal supervision
Analyze complex problems, derive options and solutions and present in an understandable manner to stakeholders, developers, testers and users at multiple levels
Qualification
Required
Bachelor's degree with concentration in Engineering, Business or Technology preferred
1-2+ years of experience in financial services, including relevant responsibilities
Experience in Financial domain is required: knowledge of Anti-Money Laundering (AML), Sanctions, Transaction Monitoring, Know Your Customer (KYC), financial securities, and trading principles
Experience in FinTech working with SWIFT message types (specifically Swift - MT, MX message formats)
Experience in FinTech working with Fedwires transactions
Experience/Exposure to Financial Crimes Compliance - such as AML, Alert generation
Strong foundation in machine learning and statistical concepts, including supervised learning, basic unsupervised techniques, and model evaluation
Hands‑on experience with data analysis and modeling using tools such as Python and SQL
Experience working with large, complex datasets; exposure to financial or transactional data is a strong plus
Understanding of common challenges in applied machine learning, such as data quality, class imbalance, and model interpretability
Interest in or exposure to AML, sanctions, fraud, or risk analytics, particularly in regulated environments
Ability to clearly explain analytical results and model behavior to technical and non‑technical stakeholders
Strong problem‑solving skills, attention to detail, and a structured, analytical mindset
Ability to work collaboratively in cross‑functional teams and learn from more senior data scientists and engineers
Ability to manage multiple simultaneous tasks in a high pressure, deadline environment
Ability to take ownership and initiative, to negotiate, influence and build consensus and successfully navigate within a demanding and international environment
Strong skills in analytical thinking, problem solving, research, time management, and verbal and written communication
Strong collaboration and relationship management skills
Ability to work independently
Be able to work in a complex, deadline driven organization on projects with minimal supervision
Analyze complex problems, derive options and solutions and present in an understandable manner to stakeholders, developers, testers and users at multiple levels
Preferred
Knowledge with LexusNexus Firco Continuity or any other AML products is preferred
Experience with JIRA, Agile (Epics, Stories, Working in Kanban team)
Should have good understanding of Agile methodology and Agile Ceremonies
Curiosity, eagerness to learn, and motivation to grow as a data scientist within the compliance and financial crime domain
Team oriented attitude
Excellent verbal and written communication skills
Person must be self-motivated, self-driven, own and consider him/herself accountable for timely completion of deliverables
Strong problem-solving skills with great attention to details
Benefits
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)
Eligibility for certain tax advantaged savings plans
Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Vibrant employee networks
State Street offers a range of financial services, including investment management, research and trading, as well as asset management.
