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.
1. 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
2. Trading Systems Development :
Build and enhance low-latency, high-throughput trading systemsDevelop tools to simulate trading strategies and access historical market dataDesign performance-optimized data structures and algorithms for fast executionImplement real-time risk management and performance tracking systems3. Algorithmic and Quantitative Analysis :
Collaborate with researchers and traders to integrate strategies into live environmentsUse statistical methods and data-driven analysis to validate and refine modelsWork with large-scale HFT tick data using Python / C++4. AI / ML Integration :
Develop and train AI / ML models for market prediction, signal detection, and strategy enhancementAnalyze large datasets to detect patterns and alpha signals5. System & Network Optimization :
Optimize distributed and concurrent systems for high-transaction throughputEnhance platform performance through network and systems programmingUtilize deep knowledge of TCP / UDP and network protocols6. Collaboration & Mentorship :
Collaborate cross-functionally with traders, engineers, and data scientistsRepresent Dolat in campus recruitment and industry events as a technical mentor What We AreLooking 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.(ref : hirist.tech)