Quantitative Developer – Low Latency Crypto

Banyak Group; New York (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

A prop trading firm in New York is seeking a Quantitative Developer to design and optimize low-latency crypto execution infrastructure. You will be responsible for building exchange connectors, developing market data pipelines, and collaborating with researchers. Ideal candidates have experience in quantitative development or low-latency trading with strong skills in C++ or Rust, and knowledge of trading systems and APIs. This hands-on role offers the chance to work on cutting-edge trading technology.

Qualifications

• 1–3 years' experience in quantitative development or low-latency trading.
• Strong programming skills in C++ or Rust and production-level Python experience.
• Experience with exchange APIs and real-time data streams.

Responsibilities

• Build low-latency exchange connectors for major crypto venues.
• Develop market data pipelines and order routing for execution logic.
• Collaborate with researchers to implement trading strategies.

Skills

C++

Rust

Python

Kafka

AWS

Low-latency trading

Market microstructure

Tools

Docker

Kubernetes

Clickhouse

Job description

Prop Trading Firm is looking for a Quantitative Developer to help design and optimize low-latency crypto execution infrastructure. This person will focus on exchange connectivity, real-time data processing, and strategy integration – ensuring trading systems operate quickly and precisely across CEXs and DEXs. This is a hands‑on, technical role for someone who enjoys writing performant code, understanding order books, and getting strategies live faster.

Responsibilities

• Build and maintain low‑latency exchange connectors (REST, WebSocket, FIX) across major crypto venues.
• Develop and optimize market data pipelines, order routing, and execution logic for speed and reliability.
• Collaborate with researchers to productionize market‑neutral and market‑making strategies across venues.
• Profile and tune trading systems for latency, throughput, and stability in live environments.
• Implement real‑time monitoring and performance benchmarking tools.
• Deploy and manage components on AWS and containerized environments (Docker/Kubernetes).
• Contribute to core infrastructure that supports signal ingestion, backtesting, and execution simulation.

Qualifications

• 1–3 years’ experience in quantitative development or low‑latency trading, ideally in crypto, HFT, or market‑making.
• Strong programming skills in C++ or Rust, with production‑level Python experience.
• Experience integrating exchange APIs (REST/WebSocket/FIX) and handling real‑time data streams.
• Understanding of market microstructure, order types, and execution dynamics in digital assets.
• Familiarity with Kafka or similar event‑driven systems, and AWS (EC2, S3, CLI).
• Knowledge of asynchronous systems design, network optimization, and multithreaded performance.
• Bonus: Experience with Clickhouse, DEX integration (Web3, RPCs, MEV‑aware routing), or low‑latency Linux tuning.