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.(ref : hirist.tech)