[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.ResponsibilitiesDevelop, test, and enhance machine learning and advanced analytics models supporting AML, sanctions screening, transaction monitoring, and alert prioritizationPerform hands‑on data analysis using large transactional and reference datasets to identify patterns, anomalies, and risk indicators related to financial crimeSupport feature engineering activities, including data exploration, feature selection, and transformation to improve model performance and stabilityTrain, 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 teamsContribute to model documentation, including assumptions, methodologies, limitations, and performance results, to support audit and regulatory reviewSupport ongoing model monitoring and performance tracking, identifying drift, degradation, or data quality issues and recommending remediationWork with data engineering teams to understand data pipelines, resolve data issues, and ensure model inputs remain accurate and reliableParticipate in Agile delivery processes, contributing to user stories, testing activities, and release support for AI/ML solutionsSupport User Acceptance Testing (UAT) by validating model behavior against business and compliance expectationsStay current on emerging AI/ML techniques, open‑source tools, and industry trends relevant to financial crime and compliance analyticsBe able to translate complex ideas into cogent business requirements documentsBe proficient creating BRDs and data mapping documentsCollaborate with cross-functional teams to identify requirements, provide guidance, ask and respond to questions and assist with resolving complex issuesEnsure that any gaps identified in the BRD are addressed and rectified by the relevant teamSupport development and testing teams by answering questions and updating documentation as needed based on feedbackBe responsible for communication, resolution, and potential escalation of critical issuesWork with the Project Manager and Product Owner to create and manage user stories using JiraSupport team in triaging issues found during testingBe able to work in a complex, deadline driven organization on projects with minimal supervisionAnalyze complex problems, derive options and solutions and present in an understandable manner to stakeholders, developers, testers and users at multiple levelsSkillsBachelor's degree with concentration in Engineering, Business or Technology preferred1-2+ years of experience in financial services, including relevant responsibilitiesExperience in Financial domain is required: knowledge of Anti-Money Laundering (AML), Sanctions, Transaction Monitoring, Know Your Customer (KYC), financial securities, and trading principlesExperience in FinTech working with SWIFT message types (specifically Swift - MT, MX message formats)Experience in FinTech working with Fedwires transactionsExperience/Exposure to Financial Crimes Compliance - such as AML, Alert generationStrong foundation in machine learning and statistical concepts, including supervised learning, basic unsupervised techniques, and model evaluationHands‑on experience with data analysis and modeling using tools such as Python and SQLExperience working with large, complex datasets; exposure to financial or transactional data is a strong plusUnderstanding of common challenges in applied machine learning, such as data quality, class imbalance, and model interpretabilityInterest in or exposure to AML, sanctions, fraud, or risk analytics, particularly in regulated environmentsAbility to clearly explain analytical results and model behavior to technical and non‑technical stakeholdersStrong problem‑solving skills, attention to detail, and a structured, analytical mindsetAbility to work collaboratively in cross‑functional teams and learn from more senior data scientists and engineersAbility to manage multiple simultaneous tasks in a high pressure, deadline environmentAbility to take ownership and initiative, to negotiate, influence and build consensus and successfully navigate within a demanding and international environmentStrong skills in analytical thinking, problem solving, research, time management, and verbal and written communicationStrong collaboration and relationship management skillsAbility to work independentlyBe able to work in a complex, deadline driven organization on projects with minimal supervisionAnalyze complex problems, derive options and solutions and present in an understandable manner to stakeholders, developers, testers and users at multiple levelsKnowledge with LexusNexus Firco Continuity or any other AML products is preferredExperience with JIRA, Agile (Epics, Stories, Working in Kanban team)Should have good understanding of Agile methodology and Agile CeremoniesCuriosity, eagerness to learn, and motivation to grow as a data scientist within the compliance and financial crime domainTeam oriented attitudeExcellent verbal and written communication skillsPerson must be self-motivated, self-driven, own and consider him/herself accountable for timely completion of deliverablesStrong problem-solving skills with great attention to detailsBenefitsRetirement savings plan (401K) with company matchInsurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coveragesPaid-time off including vacation, sick leave, short term disability, and family care responsibilitiesAccess to our Employee Assistance ProgramIncentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans)Eligibility for certain tax advantaged savings plansInclusive development opportunitiesFlexible work-life supportPaid volunteer daysVibrant employee networksCompany OverviewState Street offers a range of financial services, including investment management, research and trading, as well as asset management. It was founded in 1792, and is headquartered in Boston, Massachusetts, USA, with a workforce of 10001+ employees. Its website is https://www.statestreet.com/.Company H1B SponsorshipState Street has a track record of offering H1B sponsorships, with 1 in 2023. Please note that this does not guarantee sponsorship for this specific role.



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