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 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

3. 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++

4. 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

5. 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

6. 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.