Intern- Finance, Risk Analytics (January 2027- 8 months)

Ontario Teachers’ Pension Plan; Toronto; On-site; CAD 33,000 - 39,000; Full time

Benefits offered by this job

Lunch & learns

Student-led team events

Employee discounts

Job summary

Ontario Teachers’ Pension Plan in Toronto is seeking a Risk Analytics Intern for January 2027 to August 2027. You will be exposed to risk measurement from data inputs to analysis, supporting daily monitoring of risk exposure of the OTPP investment book.

Requirements: strong quantitative background, Excel and VBA, SQL; Python is a plus; enrolled in 3rd or 4th year and in a co-op program or returning to studies after term.

Qualifications

• Strong quantitative background in Mathematics, Statistics or Computer Science with interest in Finance/Risk/Financial Engineering.
• Advanced knowledge of Excel and VBA.
• Experience with SQL.
• Python is an asset.
• Must be enrolled in 3rd or 4th year of studies and in a co-op program or returning after work term.

Responsibilities

• Analyze risk factors and their impact on product/portfolio risk changes.
• Learn risk calculation methodologies and valuation of investment products.
• Engage in risk impact analysis and what-if simulations.
• Validate data quality and support daily risk reporting.

Skills

Quantitative background

Excel

VBA

SQL

Python

Enrolled in 3rd or 4th year

Co-op program

Tools

Excel

VBA

SQL

Python

Job description

The deadline to apply for this role is:

Until 11:59 PM of September 21, 2026

The opportunity

January 2027 – August 2027

Are you passionate about the future of Big Data in Finance?

If yes, we are the team for you. We work with a billion numbers a day which support the effective monitoring of the risk for the fund!

Finance is a diverse team of professionals with multifaceted backgrounds (CFA, FRM, MFRM, MMF). On the cutting edge of the investments industry, we are continually presented with new opportunities and challenges. We provide accounting and operational services, as well as middle office analysis including performance measurement and risk modelling.

As a Risk Analytics Intern, you will be exposed to the risk measurement process from data inputs to risk analysis, which facilitates the daily monitoring of risk exposure of the OTPP investment book. In this role, you will gain knowledge in understanding drivers of market risk changes, investment product pricing model, improve skills in Bloomberg, SQL, Snowflake, VBA, and Python coding, and apply math/computer science/business knowledge in a hands‑on environment!

Who you’ll work with

The Risk analytics team is a fast‑paced and robust team that is responsible for producing risk reports in a timely and accurate manner to facilitate investment decision making. The Risk analytics team supports the monitoring and reporting of the fund’s overall market and credit risk exposure as well as support daily production data initiatives related to all input data and metrics.

As a Risk Analytics Intern, you will work in the Toronto office reporting to a Senior Associate/Manager and within a team of 8 professionals. You will get the chance to collaborate closely with multiple partners, including Investment Risk, Data Management, Model Vetting Group, Financial Operations, and IT support team.

What you’ll do

On the Operation & Reporting side, you will play a meaningful role in daily risk reporting while ensuring the integrity and quality of data used by the enterprise risk system. You will also be exposed to the risk calculation process and methodology of a leading‑edge risk management department.

• You will be performing analysis of risk factor’s impact on product/portfolio risk changes




• Get to learn about risk calculation, valuation of various investment products and analyzing driving risk factors of those products.




• Engage in “what-if” simulation process or risk impact analysis




• Proposed and implement improvements to risk calculation operational process




• You will be responsible to validate trade completeness, new trades, and perform market data quality checks on various data sources and programs

What you’ll need

• Strong quantitative background in Mathematics, Statistics or Computer Science, along with a curiosity about Finance, Risk or Financial Engineering


• Advanced knowledge of Excel and VBA


• Experience with SQL


• Experience using Python is an asset


• Previous work experience in financial industry


• Ability to work in a fast‑paced environment


• Ability to work under pressure and meet deadlines


• Experience with Bloomberg is an asset


• An investment/risk management concentration is an asset


• Must be enrolled in 3rd or 4th year of studies


• You should be enrolled in a co‑op program or returning back to your studies after the work term is completed

What we’re offering

The expected hourly range for this role is $24 - $28 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'.

Accommodations are available upon request ([e-mail]) for candidates with a disability taking part in the recruitment process and once hired.

Note that candidates must be legally entitled to work in the country where this role is located.

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.

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