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Data Engineer, Investment Research and Data Science
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Job DescriptionWe are recruiting for an Associate to join the Investment Research team in AE-NA.The Active Equities North America Group (“AE-NA”) within the Active Equities department invests in mid-large market capitalization public equities in North America. The strategy employs bottom-up and deep fundamental research insights to create a concentrated beta-neutral portfolio of high conviction long and short investments. The Investment Research team identifies opportunities to utilize alternative datasets to inform fundamental investment questions posed by sector specific investment teams. Reporting to the Portfolio Manager of the Investment Research team, the Associate is responsible for identifying applicable data and conducting analytical experiments to isolate the drivers of current and future business performance of companies under coverage. The position is based in Toronto.Position RequirementsRole specific accountabilities include:Work with a team of data scientists to develop pipelines for processing large structured and unstructured datasets and optimize for the team’s specific use casesManage cloud infrastructure and process automation to achieve maximum results in a cost-effective manner while continually enhancing the codebase and productionizing processesEnsure data quality through a rigorous and thoughtful testing processTroubleshoot issues as they arise with systematic root cause analysisGenerate innovative ideas for new forms of data collectionWork directly with Investment partners to develop, test, integrate, and implement solutions for transformational initiativesQualificationsA minimum of an undergraduate degreeUp to 3-5 years of relevant work experienceHave a deep passion and interest in data management and analysisAchieved high levels of academic performance and exhibit intellectual curiosityCore technical skills: Must be very strong in Python and SQL, with exposure to Big Data workflows and analytic tools such as AirflowKnowledge of advance statistical modeling software packages a plus, but not requiredExperience working in AWS environment and with Databricks a plus, but not requiredStrong written, verbal and presentation skillsKnowledge of/experience with active investment management or asset allocation processes is a plusHighly detail-oriented with an ability to produce high quality workAbility to prioritize work and simultaneously manage multiple responsibilitiesTeam-oriented and collaborativeStrong interpersonal and relationship building skills both within a team as well as across different groups in an organizationExemplify CPP Investment’s Guiding Principles: Integrity, Partnership and High PerformanceAdditional InformationVisit our LinkedIn Career Page or Follow us on LinkedIn. #LI-MT1 #LI-OnsiteAt CPP Investments, we are committed to diversity and equitable access to employment opportunities based on ability.We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process. Our Commitment to Inclusion and Diversity:In addition to being dedicated to building a workforce that reflects diverse talent, we are committed to fostering an inclusive and accessible experience. If you require an accommodation for any part of the recruitment process (including alternate formats of materials, accessible meeting rooms, etc.), please let us know and we will work with you to meet your needs.Disclaimer:CPP Investments does not accept resumes from employment placement agencies, head-hunters or recruitment suppliers that are not in a formal contractual arrangement with us. Our recruitment supplier arrangements are restricted to specific hiring needs and do not include this or other web-site job postings. Any resume or other information received from a supplier not approved by CPP Investments to provide resumes to this posting or web-site will be considered unsolicited and will not be considered. CPP Investments will not pay any referral, placement or other fee for the supply of such unsolicited resumes or information.
