Quantitative Developer

2 weeks ago

Mumbai Metropolitan Region, India Dolat Capital Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Who We Are
At Dolat Capital, were 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 :

  • 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 masters 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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