Data Engineer, Investment Research and Data Science at CPP Investments

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

0.0

Posted On

07 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Management, Data Analysis, Cloud Infrastructure, Process Automation, Data Quality, Statistical Modeling, AWS, Databricks, Interpersonal Skills, Presentation Skills, Detail-Oriented, Team-Oriented, Relationship Building

Industry

Financial Services

Description

Company Description Make an impact at a global and dynamic investment organization When you join CPP Investments, you are joining one of the world’s most admired and respected institutional investors. As a professional investment management organization, CPP Investments invests the funds of the Canada Pension Plan (CPP) to help ensure its financial sustainability for generations of working and retired Canadians. CPP Investments invests across regions and asset classes to build a globally diversified portfolio. It holds assets in public equity, private equity, real estate, infrastructure, and fixed income, and the CPP Fund is projected to reach $3.6 trillion in assets by 2050. The organization is headquartered in Toronto with offices in Hong Kong, London, Mumbai, New York City, San Francisco, São Paulo, and Sydney. CPP Investments successfully attracts, selects, and retains talented individuals from top-tier institutions worldwide. Join our team for access to: Stimulating work in a fast-paced and intellectually challenging environment Accelerated exposure and responsibility Global career development opportunities Diverse and inspiring colleagues and approachable leaders A hybrid-flexible work environment with an emphasis on in-person collaboration A culture rooted in principles of integrity, partnership, and high performance An organization with an important social purpose that positively impacts lives If you have a passion for performance, value a collegial and collaborative culture, and approach work with the highest integrity, invest your career here. Job Description We are recruiting for a Senior 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 Senior 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 Requirements Role 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 cases Manage cloud infrastructure and process automation to achieve maximum results in a cost-effective manner while continually enhancing the codebase and productionizing processes Ensure data quality through a rigorous and thoughtful testing process Troubleshoot issues as they arise with systematic root cause analysis Generate innovative ideas for new forms of data collection Work directly with Investment partners to develop, test, integrate, and implement solutions for transformational initiatives Qualifications A minimum of an undergraduate degree Up to 3-6 years of relevant work experience Have a deep passion and interest in data management and analysis Achieved high levels of academic performance and exhibit intellectual curiosity Core technical skills: Must be very strong in Python and SQL, with exposure to Big Data workflows and analytic tools such as Airflow Knowledge of advance statistical modeling software packages a plus, but not required Experience working in AWS environment and with Databricks a plus, but not required Strong written, verbal and presentation skills Knowledge of/experience with active investment management or asset allocation processes is a plus Highly detail-oriented with an ability to produce high quality work Ability to prioritize work and simultaneously manage multiple responsibilities Team-oriented and collaborative Strong interpersonal and relationship building skills both within a team as well as across different groups in an organization Exemplify CPP Investment’s Guiding Principles: Integrity, Partnership and High Performance Additional Information Visit our LinkedIn Career Page or Follow us on LinkedIn. #LI-MT1 #LI-Onsite At 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.

Responsibilities

The Senior Associate will identify applicable data and conduct analytical experiments to understand business performance drivers. They will work with data scientists to develop data processing pipelines and manage cloud infrastructure.