Artificial Intelligence & Machine Learning,… at State Street · Boston

Summary: State Street is a global institutional investor management company, and they are seeking an Officer-level Compliance Technology Business Analyst specialized in AI and Machine Learning. This role focuses on developing data-driven solutions to combat financial crimes, requiring hands-on data analysis and collaboration with various teams to ensure compliance and model effectiveness. Responsibilities: - 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 Required Qualifications: - 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 - 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 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 Preferred Qualifications: - Bachelor's degree with concentration in Engineering, Business or Technology preferred - Experience with JIRA, Agile (Epics, Stories, Working in Kanban team) - Knowledge with LexusNexus Firco Continuity or any other AML products is preferred - Experience in FinTech working with SWIFT message types (specifically Swift - MT, MX message formats) - Experience in FinTech working with Fedwires transactions - Curiosity, eagerness to learn, and motivation to grow as a data scientist within the compliance and financial crime domain - Team oriented attitude Required Skills: Machine Learning, Data Analysis, Python, SQL Important Skills: Financial Crime Compliance, Agile Methodology, Data Engineering Nice-to-Have Skills: Communication Skills, Problem Solving, Collaboration, Attention to Detail 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