Senior Software Engineer II

Description

The Financial Crime and Risk Management (FCRM) team within Enterprise Technology Services (ETS) at American Express is building the next generation of AI-enabled, world-class capabilities to support second-line risk and compliance functions and financial crime investigation teams.

We are looking for a highly motivated and experienced Senior Actimize Engineer to help design, develop, enhance, and scale our NICE Actimize Suspicious Activity Monitoring (SAM) platform supporting Anti-Money Laundering (AML) transaction monitoring and regulatory compliance initiatives across the company.

The ideal candidate will bring deep hands-on expertise in Actimize SAM, strong software and data engineering skills, and experience delivering scalable, reliable, and high-performance AML transaction monitoring solutions. This role will play a critical part in modernizing our AML technology ecosystem, enhancing transaction monitoring capabilities, and supporting enterprise-wide platform reliability and AI readiness initiatives.

- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
- 8+ years of experience in software engineering or enterprise application development, including significant hands-on experience with NICE Actimize SAM (Suspicious Activity Monitoring).
- Strong hands-on experience in Actimize SAM development, configuration, customization, implementation, and production support.
- Experience with Actimize Intelligence Server (AIS), SAM application architecture, scenario execution, and data processing components.
- Strong understanding of AML transaction monitoring scenarios, detection logic, thresholds, and transaction processing workflows.
- Proficiency in SQL and programming languages such as Java, Python, or other relevant technologies used for Actimize development and integration.
- Experience working with relational databases such as Oracle, Microsoft SQL Server, or PostgreSQL, including complex SQL queries, stored procedures, and performance tuning.
- Experience with ETL processes, data mapping, data validation, and integration of large-scale transactional and customer datasets into Actimize SAM.
- Experience troubleshooting Actimize application performance, batch processing, scenario execution, and data integration issues.
- Understanding of enterprise application integration patterns, APIs, web services, and backend processing systems.
- Experience delivering scalable, secure, and highly available enterprise applications.
- Strong problem-solving, analytical, communication, and stakeholder management skills.
- Demonstrated ability to develop technical specifications, document system processing flows, and translate functional requirements into technical implementations.

Preferred:

- Deep technical expertise in NICE Actimize SAM and AIS, including scenario development, application configuration, deployment, and production troubleshooting.
- Experience with Actimize SAM platform upgrades, version migrations, performance optimization, and modernization initiatives.
- Strong knowledge of Actimize SAM data models, transaction monitoring scenarios, detection logic, and underlying processing architecture.
- Experience optimizing large-scale AML transaction monitoring systems processing high volumes of financial transactions.
- Familiarity with AML regulatory requirements, including BSA/AML, KYC, Customer Due Diligence (CDD), and Suspicious Activity Reporting (SAR).
- Experience with cloud technologies, particularly Google Cloud Platform (GCP), and integration of Actimize solutions with cloud-based data platforms.
- Experience with CI/CD pipelines, DevOps practices, automated testing, and application monitoring tools.
- Familiarity with distributed data processing, messaging frameworks, and enterprise-scale data integration architectures.
- Experience with database query optimization, batch processing performance tuning, and production stability improvements.
- Understanding of data governance, data quality, lineage, and regulatory data management practices.
- Exposure to AI/ML-enabled AML transaction monitoring, advanced analytics, and modern financial crime detection capabilities.
- Passion for engineering excellence, platform modernization, and solving complex enterprise-scale AML technology challenges.