JOB POSTING INFORMATION
Position Type:	Professional Experience Year Co-op (PEY Co-op: 12-16 months)
Job Title:	Data Engineer Intern
Job Location:	Toronto, ON
Job Location Type:	On-Site
If working on site, can you provide a copy of your COVID-19 safety protocols?:	Yes
Number of Positions:	1
Salary:	$0.00 hourly for 0.0 hours per week
Start Date:	05/13/2024
End Date:	08/22/2025
Job Function:	Engineering
Job Description:	POSITION: Data Engineer Intern   COMPANY: Select Equity Group was founded in 1990 on the premise that rigorous, independent research and disciplined, long-term investing will generate superior returns for our clients. Today, the Firm has over $35 billion in assets across long-only and long/short strategies utilizing a team-based approach and centralized research effort. Our global client base includes endowments, foundations, public and private pensions, private banks, family offices and high-net-worth individuals. Our more than 200 employees possess diversity of thought, experiences and backgrounds and share a commitment to our Core Principles (below). Our employees thrive in a collaborative environment that empowers them to apply curiosity, creativity, and continuous improvement in pursuit of differentiated excellence for our clients. Commitment to Giving Back: The Select Equity Group Foundation, established in 2000, makes a positive impact by actively engaging all employees in identifying and supporting charitable organizations of excellence. Location: Toronto, Canada   POSITION DESCRIPTION: The Data Engineer Intern will be part of the Firm’s Data & Analytics team and reports to one of the Data Engineers on the team. His/her primary responsibility is to develop innovative and scalable ways to ingest, process, and analyze data – generating deep and unconventional investment insights for companies of interest. The Data team operates in a vertically integrated model, with responsibilities spanning from data sourcing to processing and analytics.   The ideal candidate is an entrepreneurial self-starter who is passionate about continuous learning in a rapidly evolving data space.  Extreme technical competence (but not necessarily in Big Data), intellectual curiosity, and attention to detail are essential, as are flexibility and comfort working in a growing organization.   RESPONSIBILITIES: - Sourcing data: supporting technical vendor due diligence (e.g., assessing data quality, systematic backtesting against fundamental metrics); developing bespoke in-house data acquisition programs; interfacing with vendors to ingest data into our cloud-based infrastructure - Featuring data: developing in-house algorithms to process data (e.g., sentiment analysis, product matching, SQL enrichment); delivering bespoke insights to investment analysts - Predictive analytics: collaborating with Data Insights Analysts to determine statistical significance and error ranges of findings for a wide variety of data sources and analyses; developing data-driven models to predict key company financial and operational metrics - Infrastructure development and maintenance: creating custom solutions to continuously monitor our data pipeline; maintaining our underlying cloud infrastructure and platforms; continuous due diligence of new technologies for introduction to the Firm - Application development: developing bespoke web-based applications to facilitate data adoption within investment research
Job Requirements:	QUALIFICATIONS: - Currently in the 3rd year of an Engineering or Computer Science or Math degree with a minimum 3.6 GPA - Prior programming experience - Proficient with concepts in statistics (e.g., regressions, predictive models, tests of significance) - Hands on experience with any of the following is a plus: cloud architecture (e.g., AWS, GCP), interacting with data at scale (e.g., Pandas, SQL), container orchestration (e.g., Docker, Kubernetes, Airflow), automated data acquisition (e.g., Scrapy), machine learning (e.g., NLP, ML-ops) - Contributions to the open source community - Excellent interpersonal and communication skills - Track record of continuous learning - Demonstrated passion for data, although past experience not required - Highest degree of integrity, professionalism and confidentiality - Fit with Select Equity’s Core Principles (below) CORE PRINCIPLES: Originality: We generate our own ideas and never deploy common practice without skepticism. We strive to avoid the herd. Innate Curiosity: There are no dumb questions. We challenge universally accepted beliefs and seek new angles of understanding. Charity: We recognize our good fortune and give back to society in meaningful and thoughtful ways. Continuous Improvement: We always strive to improve our performance and measure ourselves absolutely, not relatively. Humility: We seek no acclaim individually or as a Firm other than earning the gratitude of our clients. Teamwork: We trust our colleagues and communicate with transparency and respect. Ours is a culture of giving credit, not seeking credit.
Preferred Disciplines:	Chemical Engineering Civil Engineering Computer Engineering Computer Science Electrical Engineering Engineering Science (Aerospace) Engineering Science (Biomedical) Engineering Science (Electrical and Computer) Engineering Science (Energy Systems) Engineering Science (Infrastructure) Engineering Science (Machine Intelligence) Engineering Science (Math, Stats & Finance) Engineering Science (Nanoengineering) Engineering Science (Physics) Engineering Science (Robotics) Industrial Engineering Materials Engineering Mechanical Engineering Mineral Engineering Actuarial Data Science Math & Stats
All Co-op programs:	No
Targeted Co-op Programs:	Targeted Programs Professional Experience Year Co-op (12 - 16 months)

APPLICATION INFORMATION
Application Deadline:	Sep 25, 2023 11:59 PM
Application Receipt Procedure:	Employer Website
If by Website, go to:	https://selectequity.bamboohr.com/careers/191?source=aWQ9MjU%3D.
Additional Application Information:	Applicants: Use the General Application link (BambooHR) to apply. Be sure to specify that the application is for the "Data Engineer Intern" role. Note to PEY applicants: In addition to your application by email/website, select the “I intend to apply for this position” tab on the portal. This will give us a record of your submitted application in the event that you will be invited for interviews.
U of T Job Coordinator:	ECC Staff

ORGANIZATION INFORMATION
Organization:	Select Equity Group, L.P.
Division:	Data & Analytics
Website:	www.selectequity.com

ADDITIONAL INFORMATION
Length of Workterm:	FIXED PEY Co-op: 16 months