Jobs at ThetaRay

Deploy and support ThetaRay's AML and financial-crime solutions: investigate transaction-monitoring and screening alerts, prioritize and summarize cases, present findings, train customer analysts, connect data risks to regulatory requirements, and gather feedback to improve detection and CRA workflows.

Design, automate, and maintain cloud and on-prem OpenShift infrastructure; build CI/CD and IaC tooling; support R&D and production teams; research and adopt new technologies; participate in on-call rotation to ensure system stability and reliability.

Lead end-to-end delivery of AI/ML implementation projects for financial customers, manage cross-functional teams, integrate data pipelines, configure models, translate requirements, present results to stakeholders, and enable customer knowledge transfer.

Protect and harden a cloud-native AI platform by identifying, prioritizing, and remediating vulnerabilities across containers, Kubernetes, CI/CD, and cloud infrastructure. Implement container/image scanning, runtime security, SAST and CSPM integrations, automate security tasks with scripting, support AKS/OpenShift environments, and embed DevSecOps practices across engineering teams.

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.

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.

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.

Lead end-to-end data science implementations for financial crime detection: design customer-specific technical solutions, perform feature engineering and anomaly investigations on large datasets, provide technical leadership, train customers, and deliver deployments and pilots while coordinating with product and partner teams.

Provide Tier 2 technical escalation support for customers across onboarding, implementation, incidents and deployments. Troubleshoot Linux and networking issues, administer Kubernetes clusters (AKS/OCP), collaborate with Tier 3 engineers, document solutions, participate in global on-call rotation, and meet KPIs/SLAs while communicating clearly with customers.

The VP Product will lead global product strategy, manage a large team, ensure product-market fit, and drive execution aligned with commercial objectives.

The CISO will lead the global security strategy, ensuring resilient and compliant AI platforms. Responsibilities include designing security programs, overseeing cloud-native security, integrating security into development, and managing incident response and vendor risks.