Quantitative Researcher

Our client is seeking exceptional Quantitative Researchers to create and improve proprietary trading models and strategies while working closely with engineers and senior leaders across the firm. Quantitative Researchers within the company work on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time. Specific responsibilities range from utilizing financial and other data in an effort to create or improve predictive models, developing and/or leveraging leading-edge statistical and machine-learning models to enhance the research and development system, creating algorithms to monetize the predictive signals. Technical requirements: Undergrad, MS, or PhD candidates in finance, computer science, mathematics, statistics, machine learning, physics, or other scientific discipline Solid mathematical and analytical ability; exceptional problem-solving and modeling ability Demonstrated ability to complete high level, statistical or applied mathematical research Prior experience in a quantitative role within a trading environment a plus Experience in solving highly complex, data intensive problems Programming proficiency in any of the following: C++, Java, R, or Python Behavioral requirements: Strong research hygiene Self-motivated and highly-productive, with a strong sense of ownership and urgency Intellectually curious, creative, and rigorous Excellent communication and collaboration skills Meticulous attention to detail Able to work across disciplines Willing to take ownership of his/her work, working both independently and within a small team Driven and tenacious approach with desire to build something scratch View email address on click.appcast.io

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