schonfeld · New York, New York, United States · New York, New York, United States
<p><strong><span data-contrast="auto">The Role</span></strong><span data-ccp-props="{"469777462":[7304],"469777927":[0],"469777928":[1]}"> </span></p> <p><span data-contrast="auto">We are seeking exceptional PhD candidates to join our Quantitative Research teams where they will work with other researchers and developers on various research projects, including the design of novel predictive signals and the enhancement of our algorithms for prediction, trade execution, portfolio construction, risk management, among others. Interns will have an opportunity to meaningfully contribute to all facets of running a successful quantitative trading business and help it grow and diversify. </span><span data-ccp-props="{"469777462":[7304],"469777927":[0],"469777928":[1]}"> </span></p> <p><strong><span data-contrast="auto">What You’ll Do </span></strong><span data-ccp-props="{"469777462":[7304],"469777927":[0],"469777928":[1]}"> </span></p> <p><span data-contrast="auto">Depending on the portfolio manager team you join, as a Quantitative Researcher Intern you will be directly responsible for furthering our alpha research. You will understand the economics of a fundamental domain, and the corresponding insights that can be gathered from associated alternative data offerings. You will identify compelling differentiating factors, design novel predictive signals, backtest & validate hypotheses. Over the 10-week internship program, you will have the opportunity to collaborate with senior team members to learn what it takes to be a successful quantitative researcher. Additionally, you’ll get the opportunity to network and socialize with peers throughout the internship.</span><span data-ccp-props="{"469777462":[7304],"469777927":[0],"469777928":[1]}"> </span></p> <p><span data-contrast="auto">What you need:</span><span data-ccp-props="{"469777462":[7304],"469777927":[0],"469777928":[1]}"> </span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="17" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Current PhD student in a quantitative or technical field such as statistics, mathematics, physics, electrical engineering, or computer science (ideally with one year left in your academic program)</span><span data-ccp-props="{"469777462":[7304],"469777927":[0],"469777928":[1]}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="17" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Excellent programming skills in languages such as Python, C, C++, Java, SQL, or R</span><span data-ccp-props="{"469777462":[7304],"469777927":[0],"469777928":[1]}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="17" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis and forecasting, pattern recognition, NLP).</span><span data-ccp-props="{"469777462":[7304],"469777927":[0],"469777928":[1]}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="17" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">The ability to communicate research ideas clearly and succinctly</span><span data-ccp-props="{"469777462":[7304],"469777927":[0],"469777928":[1]}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="17" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Creative problem-solving skills and experience working with real-world datasets</span><span data-ccp-props="{"469777462":[7304],"469777927":[0],"469777928":[1]}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="17" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="6" data-aria-level="1"><span data-contrast="auto">Strong attention to detail</span><span data-ccp-props="{"469777462":[7304],"469777927":[0],"469777928":[1]}"> </span></li> </ul> <p><span data-contrast="auto">We’d love if you had:</span><span data-ccp-props="{"469777462":[7304],"469777927":[0],"469777928":[1]}"> </span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="18" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1"