Jobs at ThetaRay

Data Scientist responsible for deploying AI-driven financial crime detection solutions, designing customer-specific technical implementations, leading data science and engineering work, performing feature engineering and anomaly investigations on large datasets, and extracting actionable insights. The role includes customer and partner collaboration, product input, system training, and domestic and international travel. Requires financial services analytics experience, Python/PySpark, and workflow tools such as MLflow and Airflow.

Resolve Tier 1 technical escalations, communicate with global customers, and support onboarding, implementation, production incidents, and deployments. Maintain product expertise, document solutions, participate in global on-call rotation, and meet internal and external KPIs and SLAs. The role requires Linux systems administration, networking, Kubernetes administration, troubleshooting, AI-driven support workflow knowledge, database familiarity, and version-control experience.

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.

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.

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-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.

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.

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.