
Winter Co-op 2027 - ALM Data Management & Analytics
Manulife · Toronto, Ontario · Hybrid
- Insurance
- 10,001+ employees
- Toronto, Ontario
Strong hiring record · median 35 days open
Hiring signal
Actively hiring
Still listed on the employer's own board · publishes a salary range · How we score
All reasons
In its favour
- Still listed on the employer's own board
- Publishes a salary range
Required Qualifications
- Currently enrolled in an undergraduate or graduate program in:
- Finance and Computer Science (Double degree or combined program preferred)
- Financial Engineering
- Mathematical Finance
- Risk Management
- Quantitative Finance
- Computer Science with a strong interest in financial markets - - Data Science, Mathematics, Statistics, Economics, or related disciplines
- Demonstrated interest in both financial markets and technology.
- Basic understanding of financial concepts such as:
- Fixed income securities
- Interest rates and yield curves
- Investment management
- Financial markets and products
- Risk management concepts
- Basic programming skills, preferably in Python.
- Working knowledge of SQL and relational databases.
- Strong analytical and problem-solving skills with the ability to work with large and complex datasets.
- Effective communication skills and ability to work collaboratively in a team environment.
Preferred Qualifications
- Academic coursework or project experience in both finance and technology disciplines.
- Familiarity with one or more of the following:
- Asset Liability Management (ALM)
- Market risk management
- Fixed income analytics
- Financial modeling
- Quantitative analysis
- Experience using Python libraries for data analysis (e.g., Pandas, NumPy).
- Experience with databases, data engineering, or data visualization tools.
- Exposure to Artificial Intelligence, Machine Learning, Large Language Models (LLMs), or Generative AI technologies.
- Familiarity with software development practices such as Git, testing, and version control.
- Experience developing analytical, automation, or data-driven solutions through academic or personal projects.
What We Are Looking For
We are particularly interested in students who can combine strong quantitative and technical capabilities with an understanding of financial markets. Candidates from Finance & Computer Science double-degree programs, Financial Engineering, Quantitative Finance, or Risk Management programs with strong programming skills are especially encouraged to apply.
When you join our team
- We’ll empower you to learn and grow the career you want.
- We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
- As part of our global team, we’ll support you in shaping the future you want to see.
Salary range is expected to be between
$40,950.00 CAD - $62,450 CAD
The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. The annual salary will be pro-rated based on the length of the work-term.
The role being advertised is an existing vacancy.
We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.
About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.
Manulife is an Equal Opportunity Employer
At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.
Working Arrangement
Hybrid
Skills
- Python
- SQL
- Pandas
- NumPy
- Machine Learning
- LLM
- Generative AI
- Git
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