Quantitative Developer

4 days ago

Mumbai Metropolitan Region, India Dolat Capital Full time ₹ 6,00,000 - ₹ 8,00,000 per year

Who We Are

At Dolat Capital, we're a team of traders, tech enthusiasts, and problem solvers driven by a passion for markets and innovation. We specialize in ultra-low latency market-making and active trading across Equities, Futures, and Options. With top-tier fill rates and cutting-edge technology, we thrive where finance meets engineering.

Responsibilities

  • Quant Trading & Strategy
    – Design and optimize high-performance strategies for derivatives, options, and ETFs. Monitor PnL and Sharpe ratios (6+), while actively identifying market inefficiencies in real time.
  • Trading Systems Development
    – Build low-latency, high-throughput systems and simulation tools. Focus on fast execution, real-time risk, and performance tracking.
  • Algo & Quant Analysis
    – Use statistical methods and large-scale HFT data (Python/C++) to validate and refine strategies in live environments.
  • AI/ML Integration
    – Develop AI/ML models for signal detection, alpha generation, and market prediction using large datasets.
  • System & Network Optimization
    – Enhance system performance with deep expertise in concurrent programming, TCP/UDP, and network protocols.
  • Collaboration & Mentorship
    – Work closely with traders, engineers, and data scientists. Represent Dolat in tech mentorship and campus events.

Qualifications

  • Education
    : B.Tech in Computer Science/IT and a
    Master's degree in Computer Science or Computational Finance.
  • Strong grasp of
    data structures, algorithms
    , and
    object-oriented programming
    (C++).
  • 1-2 years of experience.
  • Proficient in
    Python and C++
    , with hands-on experience in
    Linux systems programming
    .
  • Experience with
    AI/ML frameworks
    such as TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with
    distributed systems
    and
    high-concurrency architectures
    .
  • Solid understanding of
    network programming
    , including TCP/UDP protocols.
  • Excellent
    analytical and problem-solving
    abilities, with a passion for technology-driven innovation in financial markets.

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