Information Technology - Software Engineer_AI/ML Engineer

Job Description

As AI/ML Engineer at Compliance Tech you will

• 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.