Quant jobs / Vatic Labs

Quantitative Developer

A developer role building and scaling algorithmic trading systems and tools so AI researchers can test ideas quickly. It sits between engineering and research at a New York trading firm.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Build high-performance, distributed systems for research and live trading
Speed up researchers' workflows with fast, reusable code
Tune algorithms and software for performance
Help turn research ideas into real-time tools

What they ask for

Required

Bachelor's (earned or expected) in CS, engineering, maths or similar
2+ years building high-performance distributed software
C++ and Python on Linux
ML or statistical learning understanding
Performance tuning

Preferred

High-performance computing exposure

Education: Bachelor's earned or expected in CS, electrical engineering, maths or a related field
Experience: 2+ years of high-performance, distributed software
Languages and tools: C++
Python

How to prepare

Build a distributed backtest or feature pipeline in C++ and Python and profile it
Learn low-latency and concurrency basics
Study ML training and inference pipelines
Read about how trading systems are built and tested

What to study

The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Vatic Labs’s site before applying: requirements, location and pay can change after we check them.

View the posting on Vatic Labs’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Vatic Labs and doesn’t handle applications.