Qureos

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AI HFT Developer

Mangaluru, India

Job Description – AI HFT Developer

Location: Bengaluru (Hybrid)

Department: Quantitative Research & Trading Technology


About the Role

We are seeking an AI High-Frequency Trading (HFT) Developer to design, build, and optimize ultra-low latency trading systems powered by advanced AI/ML models. This role demands strong programming skills, deep market microstructure knowledge, and a passion for pushing the boundaries of algorithmic trading through data-driven innovation.

Key Responsibilities

  • Design and implement low-latency trading algorithms using AI/ML techniques (LLMs, reinforcement learning, deep learning).
  • Develop, test, and deploy execution strategies across equities, futures, crypto, and other asset classes.
  • Optimize system performance for nanosecond-level latency using advanced data structures, C++/Rust/Python, and GPU acceleration.
  • Research and integrate AI/ML models for price prediction, sentiment analysis, and order book forecasting.
  • Build and maintain real-time market data ingestion pipelines with millisecond-level throughput.
  • Collaborate with quantitative researchers and traders to translate trading ideas into production strategies .
  • Conduct rigorous backtesting, simulation, and live PnL monitoring of strategies.
  • Ensure compliance with risk controls, regulatory requirements, and exchange protocols .

Required Skills & Qualifications

  • Bachelor’s/Master’s/PhD in Computer Science, Quantitative Finance, Engineering, or related field.
  • 2+ years of experience in HFT, algorithmic trading, or low-latency systems .
  • Strong expertise in C++/Rust/Java (for latency-critical components) and Python (for research and ML pipelines).
  • Solid background in machine learning, deep learning, reinforcement learning, or time-series modeling .
  • Experience with market microstructure, order books, FIX protocols, and exchange connectivity .
  • Hands-on experience with GPU computing (CUDA), FPGA optimization, or distributed systems is a plus.
  • Knowledge of cloud (AWS/GCP/Azure) and big data tools (Kafka, Flink, Spark) for data engineering.
  • Strong problem-solving ability with an entrepreneurial mindset and drive for innovation.

Nice to Have

  • Experience in crypto HFT/DeFi market making .
  • Familiarity with agentic AI and large language models for trading insights .
  • Prior contributions to open-source AI/quant projects .

What We Offer

  • Exposure to cutting-edge AI + trading innovations .
  • Opportunity to work with a world-class quant and AI team .
  • Competitive compensation with performance-linked bonus .
  • A fast-paced environment that encourages innovation and ownership .

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