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C++
PythonAt Dolat Capital, we blend cutting-edge technology with quantitative finance to drive high-performance trading across Equities, Futures, and Options. We're a fast-moving team of traders, engineers, and data scientists building ultra-low latency systems and intelligent trading strategies.
🎯 What You’ll Work On
1. Designing and deploying high-frequency, high-sharpe trading strategies
2. Building low-latency, high-throughput trading infrastructure (C++/Python/Linux).
3. Leveraging AI/ML to detect alpha and market patterns from large datasets
Real-time risk systems, simulation tools, and performance optimization
4. Collaborating across tech and trading teams to push innovation in live markets.
🧠 What We’re Looking For
1. Master’s (U.S.) in CS or Computational Finance (MANDATORY)
2. 1–2 years of experience in a quant/tech-heavy role
3. Strong in C++, Python, algorithms, Linux, TCP/UDP
4. Experience with AI/ML tools like TensorFlow, PyTorch, or Scikit-learn
5. Passion for high-performance systems and market innovation.
Responsibilities
At Dolat, code is our business, so naturally, the Core Engineering and Systems team is at the center of what we do. Our community of developers has designed and continues to enhance one of the fastest
trading platforms using the latest tools and technologies. As a Software Developer, you’ll draw upon your computer science, mathematical, and analytical abilities to develop complex and nimble code used to grow our business and increase the efficiency of the global financial markets.
Your responsibilities may include any of the following, which will require you to exercise discretion and independent judgment:
• Augmenting, improving, redesigning, and/or re-implementing Dolat's low-latency/highthroughput production trading environment, which collects data from and disseminates
orders to exchanges around the world
• Optimizing this platform by using network and systems programming, as well as other advanced techniques
• Developing systems that provide easy access to historical market data and trading simulations
• Building risk-management and performance-tracking tools
• Shaping the future of Dolat through regular interviewing and infrequent campus recruiting trips
• Implementing domain-optimized data structures
• Learn and internalize the theories behind current trading system
• Participate in the design, architecture and implementation of automated trading systems
• Take ownership of system from design through implementation
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