Winter Co-op 2027 - Risk Analytics & Automation (8 months)
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What you'll do
- Help collect and analyze operational risk data, contributing to the preparation of risk reports and dashboards for senior management.
- Contribute to the identification and implementation of process improvements related to risk management and governance frameworks.
- Communicate complex data findings clearly and effectively to senior leadership and business partners to support data-driven decisions.
- Assist in the generation of leadership reports and ensuring accuracy in the data being reported, this includes performing data validation to ensure integrity and reliability of reporting outputs.
- Partner with team members on projects to drive ORRO priorities and ensure we maintain rhythm, identify issues, escalate as required, and recommend solutions to keep priorities on track.
What they're looking for
- Currently pursuing a degree in Data Science, Economics, Business, Finance, or related fields
- Ability to learn quickly and be comfortable with adjusting priorities.
- Collaborative mindset and the ability to work effectively within a diverse team environment.
- Strong ability to analyze data, interpret trends, and make recommendations based on findings.
- Ability to work with a high degree of accuracy and attention to detail in all tasks.
- Excellent written and verbal communication skills with the ability to convey complex ideas clearly.
- Self-motivated with a willingness to learn and take initiative on assigned tasks.
Nice to have
- Proven experience or interest in risk management, or strategy/governance roles preferred.
- Experience working in multi-functional teams in previous co-op terms/internship.
- Familiarity with Microsoft Office Suite (Excel, PowerPoint, Word), and reporting tools (such as PowerBI) is a plus.
- Experience using AI as an accelerator in your work or studies.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
* Please note that this opportunity is an 8-month term scheduled from January 5, 2026, to August 19, 2026. *
At Manulife John Hancock, we believe in investing in the future – starting with you. Our Risk Analytics & Automation 8-month Co-op is your launchpad to success, offering the support, structure, and exciting opportunities you need to thrive and make your mark.
About the Role
You will report to the Manager, Continuous Improvement within the Global Operational Risk and Resilience Oversight (ORRO) team within Manulife's Risk Function. As part of the Governance and Strategy team, you will help deliver innovative reporting, analytics, and process improvement solutions that support Operational Risk excellence across Manulife.
This role is ideal for students interested in data analytics, AI solutioning, business intelligence, reporting, process automation, and emerging workplace technologies. You will contribute to the development of Power BI dashboards, Power Apps solutions, CoPilot Studio Agents, reporting processes, and continuous improvement initiatives while gaining exposure to enterprise governance and operational risk management practices.
Position Responsibilities:
Data Analysis and Reporting: Help collect and analyze operational risk data, contributing to the preparation of risk reports and dashboards for senior management.
Process Improvement: Contribute to the identification and implementation of process improvements related to risk management and governance frameworks.
Deliver on Data Insights: Communicate complex data findings clearly and effectively to senior leadership and business partners to support data-driven decisions.
Risk Data Management: Assist in the generation of leadership reports and ensuring accuracy in the data being reported, this includes performing data validation to ensure integrity and reliability of reporting outputs.
Cross-Functional Collaboration: Partner with team members on projects to drive ORRO priorities and ensure we maintain rhythm, identify issues, escalate as required, and recommend solutions to keep priorities on track.
Required Qualifications:
Academic Background: Currently pursuing a degree in Data Science, Economics, Business, Finance, or related fields
Adaptability and Growth Mindset: Ability to learn quickly and be comfortable with adjusting priorities.
Team Player: Collaborative mindset and the ability to work effectively within a diverse team environment.
Analytical Skills: Strong ability to analyze data, interpret trends, and make recommendations based on findings.
Attention to Detail: Ability to work with a high degree of accuracy and attention to detail in all tasks.
Communication Skills: Excellent written and verbal communication skills with the ability to convey complex ideas clearly.
Proactive Attitude: Self-motivated with a willingness to learn and take initiative on assigned tasks.
Preferred Qualifications:
Proven experience or interest in risk management, or strategy/governance roles preferred.
Experience working in multi-functional teams in previous co-op terms/internship.
Familiarity with Microsoft Office Suite (Excel, PowerPoint, Word), and reporting tools (such as PowerBI) is a plus.
Experience using AI as an accelerator in your work or studies.
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.
As part of our co-op program, you will gain early access to Manulife John Hancock’s premier early talent program, GRO, tailored to graduating students! This program is designed to launch your career with the support, structure, and opportunities you need to thrive.
Application Instructions
Submit your resume, cover letter, academic transcript, and work term evaluation (if any) in one PDF file.
Salary range is expected to be between
$46,800.00 CAD - $62,400.00 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.
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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
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