WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on exploiting market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies \u2013 the foundation of a balanced, global investment platform.<\/p>\n\n\n\n
Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. Our teams are lean and agile, which means rapid prototyping of products with immediate user feedback. We seek people who think in code, aspire to tackle undiscovered computer science challenges and are motivated by being around like-minded people. In fact, of the 750+ employees globally, approximately 80% of them code every day.<\/p>\n\n\n\n
WorldQuant\u2019s success is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. That\u2019s a key ingredient in remaining a leader in any industry.<\/p>\n\n\n\n
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Our collective intelligence will drive us there.<\/p>\n\n\n\n
Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. We strive to understand data in ways our competitors don\u2019t believe is possible. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.<\/p>\n\n\n\n
WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Research Intern. The person must have a good understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. This position is responsible for assisting with daily research and analysis tasks \u2013 which includes scripting for monitoring, portfolio visualization and alpha signal analysis. Candidates need not have prior knowledge of financial markets, but must have a strong interest in learning about stock markets and other capital markets. Successful candidates will be self-starters, have a research scientist mind-set, and be creative and persevering deep thinkers who are motivated by unsolved challenges. Our highly accomplished senior staff will provide the interns with mentoring and guidance to help them succeed.<\/p>\n\n\n\n
\u25cf Candidates holding or pursuing a BS (Hons), MS or PhD in Math, Physics, Computer Science or
Engineering are strongly preferred.
\u25cf Exceptional candidates without an advanced degree will also be considered.
\u25cf Prior quant analysis or trading experience is a benefit.
\u25cf Programming skills is a MUST (Python\/ C++\/Java)
\u25cf Machine learning and\/or linear algebra course work is a plus
\u25cf Participated in data mining and or programming competitions (preferred)<\/p>\n\n\n\n
\u25cf 6-month learning and development path \u2013 challenge your intellectual mind
\u25cf Competitive compensation package with clear career road-map \u2013 opportunities to transition to a
full-time role
\u25cf Online Medical support
\u25cf Team building activities every month \u2013 employee clubs: football, ping-pong, badminton, yoga,
running, PS5, movies, etc.
\u25cf Happy-hour with tea break, snacks and meals every day!<\/p>\n\n\n\n
Position based in Vietnam.
Interested and qualified candidates can email their CV in ENGLISH to WQVietnamRecruiting@worldquant.com<\/p>\n","protected":false},"excerpt":{"rendered":"
WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on exploiting market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[71],"tags":[],"class_list":["post-895","post","type-post","status-publish","format-standard","hentry","category-career-opportunities"],"_links":{"self":[{"href":"https:\/\/fami.hust.edu.vn\/en\/wp-json\/wp\/v2\/posts\/895","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fami.hust.edu.vn\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fami.hust.edu.vn\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fami.hust.edu.vn\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fami.hust.edu.vn\/en\/wp-json\/wp\/v2\/comments?post=895"}],"version-history":[{"count":1,"href":"https:\/\/fami.hust.edu.vn\/en\/wp-json\/wp\/v2\/posts\/895\/revisions"}],"predecessor-version":[{"id":896,"href":"https:\/\/fami.hust.edu.vn\/en\/wp-json\/wp\/v2\/posts\/895\/revisions\/896"}],"wp:attachment":[{"href":"https:\/\/fami.hust.edu.vn\/en\/wp-json\/wp\/v2\/media?parent=895"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fami.hust.edu.vn\/en\/wp-json\/wp\/v2\/categories?post=895"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fami.hust.edu.vn\/en\/wp-json\/wp\/v2\/tags?post=895"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}