Dolat Capital

4 weeks ago

Mumbai, Maharashtra, India Dolat Capital Market Pvt Ltd Full time

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)

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