About the role#
This position focuses on Asset Liability Management (ALM) data management and analytics. You will join a team that uses data and analytics technologies to solve complex financial problems. This is a full-time, paid internship for the Winter 2027 term.
What you'll do#
- Analyze and process data using various analytics technologies.
- Work with large and complex datasets.
- Develop analytical, automation, or data-driven solutions.
- Collaborate with team members on projects involving financial markets and technology.
What you'll need#
- Current enrollment in an undergraduate or graduate program in Finance, Computer Science, Data Science, Mathematics, Statistics, or Economics.
- A strong interest in financial markets and technology.
- Basic programming skills, preferably in Python.
- Working knowledge of SQL and relational databases.
- Strong analytical and problem-solving skills.
- Effective communication skills and the ability to work in a team.
- Preference for candidates with academic or project experience in both finance and technology.
- Familiarity with ALM, market risk management, fixed income analytics, or financial modeling is an asset.
- Experience with Python libraries like Pandas or NumPy, data engineering, or visualization tools is helpful.
- Exposure to AI, machine learning, or LLMs is a plus.
- Familiarity with software development practices like Git and version control.
Location & details#
- Location: Toronto, Ontario, Canada.
- Work Modality: Hybrid.
About Manulife
Manulife is an international financial services group based in Toronto. The company operates as Manulife in Canada, Asia, and Europe and as John Hancock in the United States. It manages over 1.3 trillion dollars in assets for approximately 34 million customers. The organization employs more than 34,000 people and works with over 116,000 agents.
How to get in at Manulife
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