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Analytics
Quantitative Analyst.
The Quantitative Analyst team focuses on quantitative trading, specifically fully automated trading systems. We develop proprietary algorithms by using mathematical techniques and statistical analysis to identify patterns and behaviour of markets.
What we do
Dolat Capital 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.
What you will do
- You’ll design, develop and implement computational algorithms/strategies that succeed in generating sizable profits consistently, in real life market for high frequency trading environment.
- Provide quantitative analysis of trading data, and contribute to designing of methodology and algorithm, as part of an inhouse product development.
- Work in a fast-paced, multi-tasking environment, analysing large amount of data and developing prediction algorithms / regression models and implementing them in C++, R, MATLAB and python environments.
- Part of a team that works in a lab environment designed to prototype and market-test new concepts in various stock markets/commodities
What we are looking for
- Bachelors or Masters in Mathematics / Statistics / Physics / Computer Science Engineering / Electrical Engineering /Financial Engineering
- Excellent knowledge in Data Analysis / Algorithm development / Statistics / Mathematics.
- Analytical reasoning. Reasonable knowledge of programming, preferably exposure to object oriented language like C++, in Unix / Linux environment.
- Self-motivation, Readiness to learn with a steep learning curve.
- Good interpersonal skills and ability to communicate effectively.
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