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ThetaRay Tech Stack

AI-powered financial crime detection for transaction monitoring and AML

Software Development New York 201–500 employees Founded 2013 Privately Held
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ThetaRay builds machine-learning-driven financial crime detection systems for banks and payment institutions. The tech stack—Kafka, Spark, Hadoop (Hive/Impala), Python, Kubernetes across AWS/Azure/GCP—reflects a data-intensive, big-data architecture built to handle massive transaction volumes. Active hiring is concentrated in engineering and sales with accelerating velocity, paired with projects spanning ML data pipelines, CI/CD automation, and end-to-end testing—indicating a company scaling both product depth and go-to-market motion.

Tech Stack 73 technologies

Core StackAngular React Java Hibernate Kafka Maven Jenkins Docker Cursor Redux JavaScript Apache Spark Python Pandas PySpark Scala Kubernetes AWS Spring Boot MCP MobX Jasmine HTML5 Hive Impala HDFS Sqoop Azure GCP Azure Kubernetes Service+41 more

What ThetaRay Is Building

◆Challenges

  • Detecting money laundering activity
  • Expanding global footprint
  • Quality assurance for ai solutions
  • Massive big data workloads
  • Ai-driven platforms
  • Delivery pipelines
  • Securing cloud-native architecture
  • Ensuring compliance with global standards
  • Managing vendor risk
  • New logo acquisition

▲Active Projects

  • New business opportunity generation
  • Lead qualification and nurturing
  • Machine learning data pipeline
  • Data pipeline flows
  • Ci/cd test pipeline development
  • Python-based test code development
  • End-to-end solution testing
  • Scalable automation frameworks
  • Performance testing suites
  • Test pipelines

Hiring Activity

Accelerating15 roles · 9 in 30d

Department

Engineering
6
Sales
4
Ops
2
Data
1
Product
1
Security
1
Support
1

Seniority

Mid
5
Junior
3
Senior
3
C-Level
1
Director
1
Intern
1
Lead
1
VP
1
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About ThetaRay

ThetaRay develops cognitive AI solutions for detecting financial crime, money laundering, and compliance violations at scale. The platform targets financial institutions struggling with legacy, rule-based transaction monitoring systems that generate false positives, slow customer onboarding, and miss actual threats. Founded in 2013 and based in New York, the company operates as a 201–500-person privately held firm with engineering and data teams distributed across the United States, Israel, United Kingdom, Spain, and Canada. Core capabilities span unsupervised machine learning, anomaly detection, cross-border payment analysis, and AML (anti-money laundering) workflows.

HeadquartersNew York
Company Size201–500 employees
Founded2013
Hiring MarketsUnited States, Israel, United Kingdom, Spain, Canada

Frequently Asked Questions

What tech stack does ThetaRay use?

Java, Spring Boot, Python, Apache Spark, Kafka, Kubernetes, and Hadoop ecosystem (Hive, Impala, HDFS). Frontend: React and Angular. Cloud: AWS, Azure, GCP.

What countries does ThetaRay hire in?

United States, Israel, United Kingdom, Spain, and Canada. The company maintains distributed engineering and data teams across these five regions.

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.