
Analyst Intern, Financial Engineering & Analytics , Winter 2026 - Toronto
- Toronto, ON
- $40,000-60,000 per year
- Training
- Full-time
Work Model: Hybrid
Reference code: 130112
Primary Location: Toronto, ON
All Available Locations: Toronto, ONOur PurposeAt Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.By living our Purpose, we will make an impact that matters.--A career in Financial Engineering & Analytics will offer you the opportunity to work in a fast growing and challenging environment with like-minded people who are eminent in financial risk management,What will your typical day look like?As an Analyst Intern on our Financial Engineering & Analytics team, you will:
- Develop and/or review different financial risk management streams
- Market Risk
- Credit Risk
- Liquidity Risk and Treasury Management
- AML and Fraud Risk
- Investment Risk and Performance
- AI/ML modeling
- Insurance Risk
- Financial Instrument (exotic derivatives) Valuation
- And more
- Be involved in different risk management consulting projects for our clients
- Act as a quantitative finance specialist
- Learn and practice financial risk management and OSFI's financial risk governance and framework
- Contribute to practice growth and development
- Work in a fast-paced and thought-provoking environment with like-minded people who are experienced and respected in quantitative finance fields
- Engage in group works with our team to develop solutions for our clients
- Develop professional skills needed to advance in your chosen career path
- Gain exposure to high-profile clients including banks, insurance firms, funds, credit unions, asset management companies through a variety of engagement
- Working towards completing a master or PhD degree in Physics, Mathemetics, Finance, Mathematical Finance, Quantitative Finance, Financial Engineering, Statistics, Econometrics, Computer Science, Actuarial Science or any other relevant programs
- Knowledge in the following areas would be an asset:
- Regulatory requirement of the OSFI
- Market risk
- Credit risk
- Treasury and liquidity risk
- Anti-money-laundry and Fraud Risk
- AI/ML modeling
- Actuarial and AXIS modeling
- Financial Engineering, complex financial products and exotic derivatives
- GIPS standards and guidance
- Enrolled in relevant professional designation (i.e. FRM, PRM, CFA, ASA, FSA) is beneficial, though not required
- Strong communication skills (written and verbal), including experience in conducting research, synthesizing data, writing reports and preparing presentations, working in pressure of deadlines
- Knowledge about Bloomberg/Reuters, and FINCAD
- Good programming skills (e.g. SAS/R/VBA/SQL/C++/Python/Pathwise/AXIS) and knowledge of database tools
territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.