C++
Python
Machine Learning (ML)Title: Quantitative Developer
Location : Mumbai
Candidates preferred with Master's
Who We Are
At Dolat Capital, we are a collective of traders, puzzle solvers, and tech enthusiasts passionate about decoding the intricacies of financial markets. From navigating volatile trading conditions with precision to continuously refining cutting-edge technologies and quantitative strategies, our work thrives at the intersection of finance and engineering.
We operate a robust, ultra-low latency infrastructure built for market-making and active trading across Equities, Futures, and Options—with some of the highest fill rates in the industry. If you're excited by technology, trading, and critical thinking, this is the place to evolve your skills into world class capabilities.
What You Will Do
This 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++).
- 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Dolat Capital Market Private Ltd.
About
Dolat Capital Market Pvt. Ltd. is a multi strategy trading firm, dedicated to producing superior returns adhering to mathematical and statistical techniques. We trade actively in all Asset classes: equities, futures, options, commodities, currencies and fixed income taking advantage of our ultra low latency infrastructure. Our low latency infrastructure is in C++, one of the most competitive in terms of latency.
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Follow CutshortShubham Vishwakarma
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