Quantitative Developer

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 from a U.S. university (mandatory)

  .
• Strong grasp of

  data structures, algorithms

  , and

  object-oriented programming

  (C++).
• 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.