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Please login and join Quantitative Analyst, Carson Sidhu<\/a><\/strong> and Davis Lazowski at 12:30 PM on Wednesday May 27th, 2026 for a lively discussion about working at Connor, Clark & Lunn.<\/p>\n Join:\u00a0https:\/\/teams.microsoft.com\/meet\/222258883141736?p=JfphBdm0hOZPXwoEez<\/a><\/strong><\/p>\n Meeting ID: 222 258 883 141 736\u00a0 \u00a0 \u00a0Passcode:\u00a0Ri6yH2ym<\/p>\n Target Demographic of Students who should attend include BS, MS and PhD’s in: <\/strong>Computational Finance and Risk Management, Computer Science, Finance\/Portfolio Management, Economics, Math, Applied Mathematics, Data Science, Physics, Engineering.<\/p>\n See below for jobs to consider and apply<\/em><\/p>\n Questions about this event or applying for job opportunities: Contact: Karen Beaudry at kbeaudry@uw.edu<\/p>\n Connor, Clark & Lunn Investment Management is a global investment manager based in Vancouver, Canada. We have been successfully managing quantitative strategies for over two decades and currently manage over\u00a0$75\u00a0billion\u00a0in quantitative assets.\u00a0Quantitative investment strategies are at the intersection of finance and technology; investment decisions are made exclusively\u00a0through the use\u00a0of\u00a0data and technology.\u00a0While our investment process has evolved over the years, we have remained steadfast in our philosophical approach to our business and the management of quantitative equity assets: invest in our culture and people, embrace a collaborative and innovative mindset, prioritize model differentiation, strive to continuously improve methods, and remain at the forefront of technology innovation.<\/p>\n Our success as a systematic manager is equally dependent on having sound investment intuition and leading-edge technologies for analysis and computation. Because of this,\u00a0technology\u00a0and investment professionals work side-by-side in a fully collaborative team environment. Our technology leaders are equal partners at the table for strategic decision-making\u00a0and our dedicated technology professionals sit directly alongside our research and portfolio management teams in designing and building our investment processes.<\/p>\n Our team offers a wide range of roles and career paths. We are looking for intellectually curious and creative individuals who enjoy working in a collaborative environment to solve challenging problems. While the background of our team members varies, most on our team have academic training in the fields of math, science, engineering, data science, and\/or computer science. A background in Finance is not a requirement to join our team.<\/p>\n CPP\u00a0Investments recently published a case study highlighting CC&L Investment Management\u2019s innovative and collaborative approach to quantitative investing in Canada.\u00a0They noted that \u201cCC&L\u2019s ability to attract, develop, and\u00a0retain\u00a0exceptional talent has been a key driver of sustained innovation and a cornerstone of our long partnership\u201d\u00a0\u00a0Read the full article here:\u00a0Pioneering the Quant Frontier<\/a>.<\/p>\n This is an exciting opportunity to learn about quantitative\u00a0investing\u00a0and our unique career opportunities that come with\u00a0a high level\u00a0of enjoyment surrounded by people we like and respect.<\/p>\n Internship Opportunities:<\/strong><\/p>\n Full-time Opportunities<\/strong><\/p>\n We look forward to seeing you Wednesday May 27th, 2026 <\/strong>at 12:30 PM pacific time<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":" Please login and join Quantitative Analyst, Carson Sidhu and Davis Lazowski at 12:30 PM on Wednesday May 27th, 2026 for a lively discussion about working at Connor, Clark & Lunn. “Applying Engineering, Data Science and Finance to Quantitative Investing”\u00a0 Wednesday May 27th, 2026 | 12:30 PM pacific time Join:\u00a0https:\/\/teams.microsoft.com\/meet\/222258883141736?p=JfphBdm0hOZPXwoEez Meeting …<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-3226","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/depts.washington.edu\/compfin\/wp-json\/wp\/v2\/pages\/3226","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/depts.washington.edu\/compfin\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/depts.washington.edu\/compfin\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/compfin\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/compfin\/wp-json\/wp\/v2\/comments?post=3226"}],"version-history":[{"count":12,"href":"https:\/\/depts.washington.edu\/compfin\/wp-json\/wp\/v2\/pages\/3226\/revisions"}],"predecessor-version":[{"id":3244,"href":"https:\/\/depts.washington.edu\/compfin\/wp-json\/wp\/v2\/pages\/3226\/revisions\/3244"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/compfin\/wp-json\/wp\/v2\/media?parent=3226"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}“Applying Engineering, Data Science and Finance to Quantitative Investing”<\/span>\u00a0<\/em><\/h4>\n
Wednesday May 27th, 2026 <\/strong>| 12:30 PM pacific time<\/strong><\/h4>\n
Please REGISTER<\/a> to attend this event<\/strong><\/h4>\n
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