[Remote] Artificial Intelligence & Machine Learning, Off (US Only)

Note: The job is a remote job and is open to candidates in USA. 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.

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

Skills

• 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
• 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

Company Overview

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