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BioCatch Tech Stack

Behavioral biometrics platform for detecting financial fraud at scale

Computer and Network Security New York, NY 201–500 employees Founded 2011 Privately Held

BioCatch detects fraud by analyzing behavioral patterns—keystroke dynamics, mouse movement, touch behavior, device attributes—collected across banking platforms. The tech stack (Python, Spark, Snowflake, Databricks, Kafka-adjacent infrastructure via Delta Lake + Iceberg) reflects a data-heavy, real-time processing operation; paired with active hiring in sales and a project focus on high-volume data pipelines and acute-fraud rule deployment, the company is scaling both detection coverage and customer sales capacity in a mature, production-critical environment.

Tech Stack 54 technologies

Core StackNetSuite Python Snowflake Delta Lake Iceberg Databricks PySpark AWS Kubernetes AWS CloudFront Nginx Prometheus Grafana Datadog Terraform JavaScript TypeScript React Next.js Excel Azure Azure Kubernetes Service GCP Ubuntu CentOS Azure Front Door Coralogix SQL R npm+24 more

What BioCatch Is Building

◆Challenges

Fraud detection
Combat fraud
Managing solution efficacy risk
Fraud prevention while preserving digital experience
Scaling production infrastructure
Performance at scale
High volumes of real-time traffic
Process inefficiencies in data analysis
High-volume data processing
Strict sla response times

▲Active Projects

Self-service dashboard
Global enterprise web sdk integration
Proof of value and pilot projects
Digital banking fraud trends reports
Big data collection, aggregation, and research
Core services and apis for high-volume real-time traffic
Deploy rules for acute fraud attacks
High-volume data processing infrastructure
Threat landscapes
Upgrade and release management

Hiring Activity

Steady40 roles · 15 in 30d

Department

Sales

12

Engineering

8

Data

5

Security

5

Support

4

Finance

1

Procurement

1

Product

1

Seniority

Senior

17

Mid

9

Director

5

Manager

4

Junior

1

Lead

1

Notable leadership hires: Sales Account Director

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About BioCatch

BioCatch operates a behavioral biometrics and fraud-detection platform deployed by financial institutions to identify criminal activity within digital banking systems. The platform ingests behavioral telemetry and device signals, applies machine-learning pattern recognition, and surfaces risk decisions in real time. Customers include a significant portion of the world's largest banks as well as mid-market and regional financial institutions. Operations center on continuous data collection and model inference at high volume, with internal challenges focused on scaling infrastructure, maintaining strict SLA compliance, and evolving detection rules faster than fraud tactics adapt.

HeadquartersNew York, NY

Company Size201–500 employees

Founded2011

Hiring MarketsIsrael, Spain, India, United States, Saudi Arabia, Germany, France, Brazil

Frequently Asked Questions

What technology does BioCatch use for fraud detection?

Python, PySpark, Snowflake, Databricks, Delta Lake, and Iceberg for data processing; Azure and AWS for compute and CDN; Datadog, Prometheus, and Grafana for monitoring; Terraform for infrastructure as code.

Is BioCatch hiring engineers?

Yes. Active engineering roles (8 open) span senior, mid, and manager levels. Hiring is underway across multiple countries including the United States, Israel, India, and Western Europe.