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Quantitative Finance Researcher at Point72

TaiwanFull-timeQuant ManagementPosted about 1 month ago

About the Role

<p></p> <div class="slds-p-around_small slds-col slds-size_12-of-12" data-aura-rendered-by="555:585;a"> <div class="slds-form-element__control">Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models.</div> </div> <div class="slds-p-around_small slds-col slds-size_12-of-12" data-aura-rendered-by="563:585;a"> <div class="slds-form-element__control"> <h3>About Cubist</h3> <p>Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.</p> <h3>Role</h3> <p>Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.</p> <h3>Desirable Candidates</h3> <ul> <li>M.S., Ph.D., or Ph.D. candidates in finance, computer science, mathematics, physics, or other quantitative discipline.</li> <li>Programming in any of the following: C++, C#, Java, or Python.</li> <li>Strong analytical and quantitative skills.</li> <li>Keen interest in quantitative research and metrics driven decision making.</li> <li>Demonstrated ability to conduct independent research utilizing large data sets.</li> <li>Detail-oriented.</li> <li>Passion for spotting trends in data.</li> <li>Willingness to take ownership of his/her work, working both independently and within a small team.</li> <li>Ability to work under pressure.</li> </ul> <p>Prior experience developing, researching, or implementing quantitative models for equities is preferred, but not required. We will provide training for new researchers without finance backgrounds.</p> </div> </div> <p></p>