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Lead end-to-end delivery of AI-driven financial crime implementations for global customers. Own project planning, timelines, and cross-functional execution; integrate customer data pipelines and configure AI/ML models; translate business and regulatory requirements; present milestones and impact to senior stakeholders; and ensure knowledge transfer and customer enablement post-deployment.

As a DevSecOps Engineer, you will enhance the security of our cloud-native AML platform, addressing vulnerabilities in CI/CD, Kubernetes, and collaborating with global teams to promote security best practices.

The Tier 1 Support Engineer resolves technical issues, supports customers during onboarding, and manages alert cases, ensuring service quality.

The Data Engineer will design and optimize data pipelines for AML solutions, support data scientists, and manage technical relationships with customers.

The Data Scientist will manage customer-specific solutions, lead technical projects, analyze data, and provide insights while collaborating with various teams.

As an Algorithm Researcher, you will design advanced algorithms for financial crime detection, translating mathematical models into scalable systems and enhancing AI solutions for real-world applications.

The Sales Director will develop and execute sales strategies, manage customer relationships, and drive revenue growth by selling software solutions in the financial services sector.

Generate and qualify new business opportunities in the US for AI-driven financial crime detection. Conduct outreach, demos, account research, and pre-call planning. Collaborate with Sales and Marketing, build trusted relationships with prospects, support closing select deals, and meet BDR metrics and goals.

As an Office Manager Intern, you'll provide administrative support, oversee office operations, manage schedules, and handle travel coordination.

As a Full Stack Engineer, you will build scalable data platforms and backend services for financial crime detection, using Python and other technologies to process large datasets and design microservice architectures.