Vatic Labs Tech Stack

Quantitative trading firm building autonomous agents and low-latency infrastructure

Financial Services New York, NY 11–50 employees Founded 2013 Privately Held

Vatic Labs operates a quantitative trading platform where researchers and engineers collaborate on autonomous trading agents. The stack—Python, C++, PyTorch, TensorFlow, GPT-4, Kafka, Kubernetes—reflects a deep ML + systems engineering culture; pain points cluster around low-latency execution and clock synchronization, indicating active optimization of production trading infrastructure rather than early-stage research. The hiring mix (11 engineers, 7 researchers, split between mid and senior levels) signals a mature engineering org scaling research output into production systems.

Tech Stack 49 technologies

Core StackPython Linux NumPy C++ PyTorch TensorFlow Cisco Kubernetes Terraform Kafka MySQL PostgreSQL MongoDB Elasticsearch AWS SciPy GPT-4 transformers C Assembly x86 Assembly Red Hat Enterprise Linux Arista GCP CI/CD SQL Bash Chroma Azure GCS+19 more

What Vatic Labs Is Building

◆Challenges

Maintaining low-latency infrastructure
Managing high precision clock synchronization
Optimizing low-latency trading systems
High-performance distributed storage
Optimizing distributed trading systems
Monitoring real-time trading systems

▲Active Projects

Frameworks for trading and research
Ai-driven quantitative trading strategies
Real-time production trading system monitoring
Frameworks for trading applications
Ultra-low latency trading systems
Novel ai methods and trading strategies
High throughput trading systems
Develop innovative quantitative strategies
Large-scale model evaluation experiments
State-of-the-art algorithmic trading systems

Hiring Activity

Minimal25 roles · 1 in 30d

Department

Engineering

Research

Data

Finance

Support

Seniority

Mid

Senior

Intern

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About Vatic Labs

Vatic Labs is a quantitative trading firm founded in 2013, headquartered in New York with ~35 employees. The company develops autonomous trading agents and supporting infrastructure for systematic market engagement. Active projects span trading frameworks, AI-driven strategy development, real-time system monitoring, and low-latency execution pipelines. The organization is balanced between software engineering and quantitative research, with distributed presence across the US and UAE.

HeadquartersNew York, NY

Company Size11–50 employees

Founded2013

Hiring MarketsUnited States, United Arab Emirates

Frequently Asked Questions

What programming languages does Vatic Labs use?

Python (primary), C++, C, and Assembly (x86). The ML stack includes PyTorch and TensorFlow; they also use GPT-4 and transformers. Linux and Red Hat Enterprise Linux run the infrastructure.

What is Vatic Labs working on?

Low-latency trading systems, AI-driven quantitative strategies, real-time production monitoring frameworks, and novel algorithmic trading methods. Recent focus includes high-throughput distributed systems and large-scale model evaluation.

Where does Vatic Labs hire?

Primarily the United States, with secondary hiring in the United Arab Emirates. Current open roles span engineering, research, data, and support—24 active positions with minimal recent posting velocity.