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Analyst – Compliance
American Express. Design, develop, test, and implement AI and machine-learning models for compliance use cases .
Tech Stack
Tools & technologiesAWSAzureCloudPythonPyTorchScikit-LearnSQLTableauTensorflow
About the role
Key responsibilities & impact- Design, develop, test, and implement AI and machine-learning models for compliance use cases
- Build tools and automated workflows to improve compliance monitoring, testing, investigations, and reporting
- Identify opportunities to use AI for transaction monitoring, financial crime, sanctions, fraud, regulatory change, conduct risk, communications monitoring, customer risk assessment, and compliance assurance
- Monitor controls managing AI-related risks, including data quality, bias, model accuracy, explainability, privacy, security, and inappropriate outputs
- Establish model validation, approval, monitoring, and change-management processes for compliance
- Support performance measures, thresholds, alerts, and escalation procedures for AI-enabled compliance tools
- Support development of AI policies, standards, procedures, and responsible-AI principles
- Translate regulatory requirements into technical rules, models, controls, and monitoring scenarios with Compliance subject-matter experts
- Assess third-party AI tools and vendors, including models, data practices, security, controls, explainability, and regulatory suitability
- Partner with Technology and Data teams to integrate AI tools into compliance systems and business processes
- Produce dashboards and management information on model performance, risk exposure, control effectiveness, and business impact
- Support training and guidance for Compliance colleagues on appropriate and responsible AI use
Requirements
What you’ll need- Demonstrated experience in Artificial Intelligence (AI), machine learning, data analytics, automation, AI governance, model risk, compliance, financial crime, risk management, or related disciplines
- Hands-on experience developing, implementing, evaluating, or governing AI/ML solutions, including Generative AI, Large Language Models (LLMs), natural-language processing, predictive analytics, classification, anomaly detection, and risk scoring
- Experience with Generative AI technologies and techniques, including prompt engineering, model evaluation, guardrails, retrieval-augmented generation (RAG), and responsible AI practices
- Proficiency in Python, SQL, R, or similar analytical programming languages
- Familiarity with machine-learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- Experience working with structured and unstructured data, including data preparation, data-quality testing, analytical modeling, and interpretation of model outputs
- Knowledge of the AI/ML model lifecycle, including development, validation, testing, deployment, performance monitoring, version control, auditability, and control design
- Strong understanding of AI governance and model risk management, including privacy, information security, bias and fairness, explainability, transparency, human oversight, and responsible AI
- Familiarity with data visualization, APIs, workflow automation, cloud technologies, and low-code platforms, including Power BI, Tableau, or comparable tools
- Understanding of compliance and risk management controls and processes
- Ability to translate complex AI, data, and technical concepts into clear business and risk insights and collaborate across Compliance, Risk, Technology, Data, Legal, and Operations
- Desired: experience within banking, financial services, insurance, fintech, healthcare, legal services, or another regulated industry
- Desired: knowledge of AML, KYC, sanctions, fraud, market conduct, consumer duty, regulatory reporting, or surveillance
- Desired: experience carrying out AI impact assessments, model-risk assessments, or data-protection impact assessments
- Desired: experience evaluating third-party AI vendors and technology solutions
- Desired: familiarity with Microsoft Azure, AWS, or Google Cloud
- Desired: relevant qualifications in compliance, data science, computer science, risk management, AI, or a related subject
Benefits
Comp & perks- Competitive base salaries
- Bonus incentives
- Support for financial well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities