Dolat Capital - Quantitative Analyst/Research Scientist - High Frequency Trading

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QUALIFICATIONS:

Bachelors or Masters in Mathematics / Statistics / Physics / Computer Science Engineering / Electrical Engineering / Financial Engineering from IIT or BITS

OR

Ph. D in Physics / Mathematics / Statistics

ROLE:

- The incumbent will be responsible to design, develop and implement computational algorithms/strategies that succeed in generating sizable profits consistently, in real life market for high frequency trading environment

- He / She will provide quantitative analysis of trading data, and contribute to designing of methodology and algorithm, as part of an in-house product development

- The incumbent shall work in a fast-paced, multi-tasking environment, analyzing large amount of data and developing prediction algorithms / regression models and implementing them in C++, R, MATLAB and python environments

- He / She shall be a part of a team that works in a lab environment designed to prototype and market-test new concepts in various stock markets/commodities

MUST HAVES:

- 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