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Statistical Programming Intern Jobs in Ontario (NOW HIRING)

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Statistical Programming Intern information

What does a statistical programming intern do?

A Statistical Programming Intern assists in analyzing data and creating statistical reports, often using software languages like SAS, R, or Python. They help design and implement data analysis plans, support senior statisticians or data scientists, and ensure data quality and integrity. Their work is crucial in fields like clinical research, finance, and marketing, where data-driven decision-making is essential. Interns gain hands-on experience with real-world datasets and learn best practices in data management and statistical analysis.

What types of projects or tasks can a statistical programming intern expect to work on during their internship?

As a Statistical Programming Intern, you will typically assist with data cleaning, preparation, and analysis for ongoing research or clinical studies. You might be responsible for writing and testing code in SAS, R, or Python to generate tables, listings, and figures, as well as supporting the development of statistical analysis plans. Interns often collaborate closely with biostatisticians, data managers, and clinical teams to ensure high-quality data outputs. This role offers valuable exposure to real-world datasets and best practices in statistical programming, providing a solid foundation for future roles in data science or biostatistics.

What are the key skills and qualifications needed to thrive as a statistical programming intern, and why are they important?

To thrive as a Statistical Programming Intern, you need a solid grounding in statistics, programming (often with R or SAS), and data analysis, typically supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with statistical software, version control systems like Git, and database tools is highly beneficial, alongside any relevant certifications in programming languages or analytics platforms. Attention to detail, analytical thinking, and effective communication are vital soft skills for interpreting data and collaborating with team members. These skills are important because they enable interns to accurately analyze data, contribute to research projects, and support informed decision-making in data-driven environments.

What is the difference between Statistical Programming Intern vs Data Analyst Intern?

AspectStatistical Programming InternData Analyst Intern
Required SkillsProgramming (R, SAS, Python), statistical methodsData analysis, Excel, SQL, visualization
Work EnvironmentPharmaceutical, biotech, or research labsBusiness, marketing, or finance sectors
Typical TasksData cleaning, statistical modeling, programmingData interpretation, reporting, dashboards

Both roles often require programming and data skills, but Statistical Programming Interns focus more on statistical modeling and programming tasks within research environments, while Data Analyst Interns handle broader data analysis and reporting in business settings. They share similar entry-level requirements but differ in industry focus and daily responsibilities.

What are popular job titles related to Statistical Programming Intern jobs in Ontario?

For Statistical Programming Intern jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Statistical Programming Intern jobs in Ontario look for?

The top searched job categories for Statistical Programming Intern jobs in Ontario are:

Infographic showing various Statistical Programming Intern job openings in Ontario as of September 2026, with employment types broken down into 2% Internship, 65% Full Time, 20% Part Time, 12% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Intern - Risk, Models and Asset Liability (May 2027 - 12 months)

Toronto, ON • Hybrid

CA$30 - CA$33/hr

Full-time

Posted 23 days ago


Key responsibilities

  • Assist in the development and refinement of asset/liability models to evaluate the impact of portfolio changes.

  • Conduct statistical analysis on simulation outputs and interpret key risk metrics.

  • Help design and execute stress tests and scenario analyses to assess portfolio resilience.


Job description

The deadline to apply for this role is:

Until 11:59 PM of September 21, 2026

The Opportunity

May 2027 - April 2028

Are you eager to understand the risks that shape the decisions of OTPPs' investment professionals? Are you eager to deepen your understanding of asset/liability management, portfolio construction, and data-driven decision-making in a real-world institutional investment setting?

As an intern on the Models and Asset Liability Risk team, you will gain hands-on experience using advanced analytical tools to evaluate the impact of asset mix decisions. This role offers a unique opportunity to explore the key factors influencing the asset/liability balance of a pension plan, understand the risk and return characteristics of various asset classes, and apply risk metrics to assess portfolio suitability.

Who You'll Work With

You will collaborate with a highly skilled team of investment analysts, data scientists and actuaries on a variety of projects-ranging from short-term tasks to full-term initiatives. This role is based in our Toronto office and follows a hybrid work model. No additional travel is required.

What You'll Do

As an Asset Liability Risk Intern, your responsibilities will include:

  • Assisting in the development and refinement of asset/liability models to evaluate the impact of changes in portfolio returns and economic assumptions.
  • Conducting statistical analysis on simulation outputs and interpreting key risk metrics.
  • Creating and presenting data visualizations and summaries tailored for diverse audiences, including investment professionals and risk managers.
  • Help design and execute stress tests and scenario analyses to assess portfolio resilience under various market conditions, economic shocks and demographic assumptions.
  • Assist in preparing model and process documentation, risk reports, and presentations that communicate findings and recommendations to stakeholders.
  • Contribute to the development and implementation of automated workflows and advanced AI-driven solutions using Python, with the goal of streamlining processes and enhancing operational efficiency across risk modeling and asset liability management.

What You'll Need to Succeed

  • A strong academic background in finance, risk management, actuarial science, mathematics, or computer science is essential. Candidates should demonstrate proficiency in quantitative analysis and possess the foundational knowledge required to evaluate complex financial models and risk metrics within an institutional investment environment.
  • Enrollment in a 3rd or 4th year undergraduate program or a Masters' program in Actuarial Science, Statistics, Finance, or a related field.
  • Familiarity with pension plan operations, particularly the interaction between assets and liabilities
  • A working knowledge of asset classes and their roles in diversified portfolios.
  • Proficiency in Python or any other programming languages for data analysis and modeling.
  • Experience with data visualization tools (Power BI preferred).
  • Prior co-op or internship experience is an asset.
  • Experience with Snowflake is an asset.
  • Interest or experience in building agentic AI applications is a plus.
  • You must be enrolled in a co-op program or returning back to your studies after the work term is completed

#LI-SS

What we're offering

The expected hourly range for this role is $30 - $33 depending on experience and qualifications.
  • Numerous opportunities for professional growth and development, including lunch and learns

  • Student led team building events on a monthly basis

  • Employee discount programs including Edvantage and Perkopolis

At Ontario Teachers', diversity is one of our core strengths. We take pride in ensuring that the people we hire and the culture we create, reflect and embrace diversity of thought, background and experience. Through our Diversity, Equity and Inclusion strategy and our Employee Resource Groups (ERGs), we celebrate diversity and foster inclusion through events for colleagues to connect for professional development, networking & mentoring. We are building an inclusive and equitable workplace where our talent is respected, accepted and empowered to be themselves. To learn more about our commitment to Diversity, Equity and Inclusion, check out Life at Teachers'.

How to apply

Are you ready to pursue new challenges and take your career to the next level? Apply today! The following documents are required to be uploaded with your application:

  • Resume

  • Copy of your transcripts

You will also be invited to complete a pre-recorded digital interview as part of your application. Please complete it within 48 hours of application submission.

Intern Application Guidance

  • We will be reviewing applications on a rolling basis. We recommend candidates apply as soon as possible.

  • To help us better understand your interests and career goals, we recommend candidates apply to their top 3-5 positions for the term.

We thank you for applying, however, only those selected for a personal interview will be contacted. Note that candidates must be legally entitled to work in the country where this role is located.

Accommodations are available upon request (peopleandculture@otpp.com) for candidates with a disability taking part in the recruitment process and once hired.

Ontario Teachers' may use AI-based tools to assist in screening and assessing applicants for this position. These tools may help us identify candidates whose skills and experience align with Ontario Teachers' objectives by analyzing information provided in resumes and applications. Our use of AI does not replace human decision-making.

To learn more about how Teachers' uses AI with your personal information, please visit our Privacy Centre.

Functional Areas:

Administration


Vacancy:

Current

Requisition ID:

7196#LI-SS1