C++
PythonAbout Us
Dolat Capital is a multi-strategy quantitative trading firm specializing in high-frequency and fully automated trading systems across global markets. We build proprietary algorithms using advanced mathematical, statistical, and computational techniques.
We are looking for an Experienced Quantitative Researcher to develop, test, and optimize quantitative trading strategies—primarily for APAC markets. The ideal candidate brings strong mathematical thinking, hands-on trading experience, and a track record of building profitable models.
Key Responsibilities
- Research, design & develop quantitative trading strategies
- Analyse large datasets and build predictive models / regression models
- Implement models in Python / C++ / Matlab
- Monitor, execute, and improve existing trading strategies
- Collaborate closely with traders, developers, and researchers
- Optimize trading systems, reduce latency, and enhance execution
- Identify new trading opportunities across listed products
- Oversee and manage risk for options, equities, futures, and other instruments
Required Skills & Experience
- Minimum 3+ years experience on a high-volume equities, futures, options, or market-making desk
- Strong background in Statistics, Mathematics, Physics, or related field (PhD)
- Proven track record of profitable real-world trading strategies
- Strong programming experience: C++, Python, R, Matlab
- Experience with automated trading systems and exchange protocols
- Ability to work in a fast-paced, high-pressure trading environment
- Excellent analytical skills, precision, and attention to detail
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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