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Company profile

ThetaRay Tech Stack

AI-driven financial crime detection and AML transaction monitoring platform

Artificial Intelligence New York 201–500 employees Founded 2013 Privately Held
thetaray.com LinkedIn

ThetaRay builds machine-learning software for AML compliance, covering transaction monitoring, screening and customer risk assessment. Its stack pairs PyTorch, TensorFlow and Spark with RAG, and runs on hybrid AWS, Azure and OpenShift deployments backed by an unusually dense security toolchain (Snyk, Checkmarx, Veracode, Wiz, Prisma Cloud). That mix points to bank-grade, on-prem-capable delivery. Hiring is accelerating, senior-weighted and split between data and engineering.

Tech Stack 77 technologies

Core StackPyTorch TensorFlow Python NumPy Pandas RAG AWS OpenShift Kubernetes Terraform Jenkins Helm Prometheus Grafana Elasticsearch SonarQube Snyk Apache Spark SciPy Azure Argo CD Helmfile Azure Kubernetes Service Checkmarx Veracode Semgrep Prisma Cloud Wiz Microsoft Defender for Cloud Lacework+43 more

What ThetaRay Is BuildingChallenges and projects from their job posts

◆Challenges

  • Improving financial crime detection accuracy
  • Reducing investigation time on alerts
  • AML compliance and money laundering prevention
  • Optimizing big data pipelines for anomaly investigation
  • Maintaining production stability
  • Improving R&D productivity

▲Active Projects

  • AI-driven financial crime detection platform
  • Transaction monitoring deployments
  • Customer risk assessment implementation
  • Integrating customer data pipelines with AI/ML models
  • AI implementation projects for global customers
  • Cloud and OpenShift infrastructure automation

Hiring Activity

Accelerating10 roles · 7 in 30d

Department

Data
4
Engineering
4
Security
1
Support
1

Seniority

Senior
6
Mid
4
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About ThetaRay

ThetaRay, founded in 2013 and headquartered in New York, develops AI software for financial crime compliance. The platform spans customer due diligence, sanctions screening, transaction monitoring and anti-money laundering, and it includes an agentic AI investigator that assembles alert case files. It sells to banks, fintechs and payment service providers. The company is privately held and has 201–500 employees. Current hiring is focused in Canada.

HeadquartersNew York
Company Size201–500 employees
Founded2013
Hiring MarketsCanada

Frequently Asked Questions

What tech stack does ThetaRay use?

ThetaRay uses Python, PyTorch, TensorFlow, Pandas and Apache Spark for ML. It runs on AWS, Azure, OpenShift and Kubernetes, with Terraform, Argo CD and Helm for delivery, and Snyk, Checkmarx and Wiz for security.

Is ThetaRay hiring data engineers?

Yes. Hiring is accelerating and centers on data and engineering roles, mostly at senior level, with additional security and support openings. Current roles are based in Canada.

What is ThetaRay working on?

ThetaRay is building an AI-driven financial crime detection platform. Current work includes transaction monitoring deployments, customer risk assessment implementations, ML model integration with customer data pipelines, and OpenShift infrastructure automation.

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How this profile is built

ThetaRay's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.