Quantitative Developer
3 days ago
Description
This hybrid role offers a unique opportunity to work across both quantitative development and high-frequency trading. You'll engineer trading systems, design and implement algorithmic strategies, and directly participate in live trading execution and strategy enhancement.
- Quantitative Strategy & Trading Execution :
- Design, implement, and optimize quantitative strategies for trading derivatives, index options, and ETFs,
- Trade across options, equities, and futures, using proprietary HFT platforms
- Monitor and manage PnL performance, targeting Sharpe ratios of 6+
- Stay proactive in identifying market opportunities and inefficiencies in real-time HFT environments
- Analyze market behavior, particularly in APAC indices, to adjust models and positions dynamically
- Trading Systems Development :
- Build and enhance low-latency, high-throughput trading systems
- Develop tools to simulate trading strategies and access historical market data
- Design performance-optimized data structures and algorithms for fast execution
- Implement real-time risk management and performance tracking systems
- Algorithmic and Quantitative Analysis :
- Collaborate with researchers and traders to integrate strategies into live environments
- Use statistical methods and data-driven analysis to validate and refine models
- Work with large-scale HFT tick data using Python / C++
- AI/ML Integration :
- Develop and train AI/ML models for market prediction, signal detection, and strategy enhancement
- Analyze large datasets to detect patterns and alpha signals
- System & Network Optimization :
- Optimize distributed and concurrent systems for high-transaction throughput
- Enhance platform performance through network and systems programming
- Utilize deep knowledge of TCP/UDP and network protocols
- Collaboration & Mentorship :
- Collaborate cross-functionally with traders, engineers, and data scientists
- Represent Dolat in campus recruitment and industry events as a technical mentor What We Are
Looking For
- Strong foundation in data structures, algorithms, and object-oriented programming (C++), python.
- Experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience in systems programming within a Linux environment.
- Proficient and Hands on programming using python/ C++
- Familiarity with distributed computing and high-concurrency systems.
- Knowledge of network programming, including TCP/UDP protocols.
- Strong analytical and problem-solving skills.
- A passion for technology-driven solutions in the financial markets.
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