{"absolute_url":"https://boards.greenhouse.io/point72/jobs/7297667002?gh_jid=7297667002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":5863638002,"location":{"name":"New York, Seattle"},"metadata":[{"id":4076300002,"name":"Time Type","value":"Full Time","value_type":"single_select"}],"id":7297667002,"updated_at":"2026-09-15T17:33:58-04:00","requisition_id":"1298","title":"Quantitative Research Intern","company_name":"Point72 ","first_published":"2024-08-15T17:00:58-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;slds-p-around_small slds-col slds-size_12-of-12\u0026quot; data-aura-rendered-by=\u0026quot;555:596;a\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;slds-p-around_small slds-col slds-size_12-of-12\u0026quot; data-aura-rendered-by=\u0026quot;563:596;a\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;JOB DESCRIPTION\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\n\u0026lt;div class=\u0026quot;slds-form-element__control\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.\u0026lt;/p\u0026gt;\n\u0026lt;strong\u0026gt;JOB RESPONSIBILITIES\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify features and relationships useful for the predictive modeling of market dynamics\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;slds-form-element__control\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;slds-form-element__control\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;DESIRABLE CANDIDATES\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical and quantitative skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated interest in financial markets and systematic trading\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear, concise, and proactive communicator\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Detail-oriented\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willing to take ownership of his/her work, working both independently and within a small team\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;","departments":[{"id":4077293002,"name":"Quant Management","child_ids":[4093681002,4093682002,4093683002,4093684002,4093685002,4127486002,4077294002],"parent_id":null}],"offices":[{"id":4007773002,"name":"New York, NY","location":"New York, New York, United States","child_ids":[],"parent_id":4041645002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null}