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UID:20260831T135604EDT-9129gUnSvb@132.216.98.100
DTSTAMP:20260831T175604Z
DESCRIPTION:Event Title\n\nApplying Engineering\, Data Science\, and Financ
 e to Quant Investing\n\n \n\nTarget Demographic of Students for Event\n\nC
 omputer Science\, Finance/Portfolio Management\, Economics\, Math\, Data S
 cience\, Physics\, Engineering\n\n \n\nEvent Description\n\nConnor\, Clark
  & Lunn Investment Management is a global investment manager based in Vanc
 ouver\, Canada. We have been successfully managing quantitative strategies
  for over two decades and currently manage over USD$24 billion in quantita
 tive assets. Quantitative investment strategies are at the intersection of
  finance and technology\; investment decisions are made exclusively throug
 h the use of data and technology. While 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 metho
 ds\, and remain at the forefront of technology innovation.\n\nOur success 
 as a systematic manager is equally dependent on having sound investment in
 tuition and leading-edge technologies for analysis and computation. Becaus
 e of this\, technology and investment professionals work side-by-side in a
  fully collaborative team environment. Our technology leaders are equal pa
 rtners at the table for strategic decision-making and our dedicated techno
 logy professionals sit directly alongside our research and portfolio manag
 ement teams in designing and building our investment processes.\n\nOur tea
 m offers a wide range of roles and career paths. We are looking for intell
 ectually curious and creative individuals who enjoy working in a collabora
 tive environment to solve challenging problems. While the background of ou
 r team members varies\, most on our team have academic training in the fie
 lds of math\, science\, engineering\, data science\, and/or computer scien
 ce. A background in Finance is not a requirement to join our team.\n\nThis
  is an exciting opportunity to learn about quantitative investing and our 
 unique career opportunities that come with a high level of enjoyment surro
 unded by people we like and respect.\n\n \n\nDress Code: Business Casual\n
DTSTART:20240122T223000Z
DTEND:20240122T233000Z
SUMMARY:Connor\, Clark & Lunn Investment Management - Applying Engineering\
 , Data Science\, and Finance to Quant Investing
URL:https://www.mcgill.ca/careers4engineers/channels/event/connor-clark-lun
 n-investment-management-applying-engineering-data-science-and-finance-quan
 t-353999
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