About The Opportunity

We are partnering with a rapidly growing, top-tier systematic hedge fund operating at the absolute forefront of quantitative finance. Backed by a team of world-class researchers and engineers, our client is investing heavily in the next generation of their quantitative research and algorithmic trading platform.

To support the expansion of their global trading operations, we are seeking elite Infrastructure Engineers to build robust, scalable, and ultra-low-latency systems. When you apply, you will be assessed on core engineering fundamentals. During the interview process, we will work with you to discover your specific strengths and match you to the specialized track that best aligns with your expertise and career goals.

Tailored Engineering Tracks

C++ Trading Engineer: Focus on developing ultra-high-performance trading systems. You will design and optimize short-term trading signals in a high-frequency environment governed by strict latency and efficiency requirements.

C++ Simulation Engineer:



Partner directly with quantitative researchers and traders to design, develop, and optimize high-fidelity simulation systems, building the core infrastructure essential for back-testing algorithmic strategies.

Data Infrastructure Engineer: Build scalable, distributed pipelines for systematic data ingestion and web scraping. You will develop ultra-fast exchange connectivity solutions, creating high-performance C++ handlers to capture, process, and integrate real-time market data feeds.

Core Responsibilities

Drive the full-lifecycle development of low-latency, high-throughput research and trading systems utilizing up-to-date C++ and Python.

Architect and optimize massive data processing pipelines to ensure lightning-fast, reliable access to high-quality financial datasets.

Build and maintain sophisticated tooling for model training, back-testing, and rigorous strategy evaluation.

Collaborate daily with world-class quantitative researchers and trader

📌 Infrastructure Engineer (India)
🏢 Growth Heist
📍 India