AI HFT Developer

2 days ago

Bengaluru, Karnataka, India Meril Full time ₹ 15,00,000 - ₹ 20,00,000 per year

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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