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Senior Full Stack Analytics Developer

Manulife

·

Jun 24, 2026

Location
CAN, Quebec, Montreal, 900 Boulevard de Maisonneuve Ouest, Canada · Toronto, Ontario
Type
Full-time
Department
IT
Seniority
Senior
Closing date
Jul 1, 2026
Source
Workday

Description

Senior Full Stack Analytics Developer

Location: Montreal or Toronto

About Us:

Manulife Investment Management is a leading global wealth and asset management firm with a commitment to providing innovative investment solutions. As part of our Analytics Engineering and Quantitative Development teams, you will be at the forefront of developing interactive data capabilities that drive our investment decision-making process. We serve a diverse range of clients across Portfolio Management, Operations, Client Services, Risk Management, Finance, Accounting, and other departments in the US, Canada, London, Hong Kong, Tokyo, and other regions in Asia.

Job Description:

We are seeking a highly skilled and motivated Senior Full Stack Analytics Developer to join our dynamic team. The successful candidate will be responsible for creating new interactive capabilities, including apps, models, tools, reports, and dashboards. This role requires a balance of technical expertise, investment domain knowledge, and user-centered design experience. The successful candidate will also have management experience and will be required to manage a small team engineers.

Key Responsibilities:

  • Data Visualization & Analytics Development: 
    • Lead end-to-end development of data visualization solutions and analytical tools, including deployment across the organization. Design and integrate APIs to extend data access and enable seamless connectivity between systems and platforms.
  • Interactive Content Creation: 
    • Develop robust data visualizations, reports, and AI-assisted interfaces for multiple use cases and varying levels of user interactivity, leveraging machine learning and generative AI where appropriate to surface deeper insights.
  • Prototyping and Communication: 
    • Quickly prototype solutions — including AI-based proof-of-concepts and API-driven applications — and effectively communicate project plans, status updates, and enhancements/issues to team members and clients.
  • Technology Enhancement: 
    • Adopt and enhance technology infrastructure to 'bring data to life' across the organization, with a focus on integrating modern AI tooling, automation, and API ecosystems into existing workflows.
  • AI Application Development: 
    • Explore, develop, and champion AI-based applications that improve analytical processes, automate repetitive tasks, and deliver intelligent, user-facing experiences across the business.

  • User Engagement: 
    • Work closely with end users to understand requirements, provide demonstrations, conduct technical walkthroughs, and collect feedback to refine data visualization and AI-powered solutions.

Required Skills and Qualifications:

  • Technical Proficiency:
    • Proficient in multiple programming languages, specifically R and Python, and familiar with data manipulation packages such as dplyr, pandas, and polars.
    • Experience with data visualization tools like Posit Connect, Plotly Dash, Streamlit, or similar.
    • Proficient in Power BI and Microsoft Excel.
    • Experience working with large datasets, data collection, aggregation, and presentation tools.
    • 3+ years’ experience building custom data visualization apps, including UX/UI, server-side processing, and client-side processing.
  • Collaboration and Communication:
    • Strong experience documenting and communicating requirements with project stakeholders.
    • Experience using GitHub for collaboration.
    • Strong written and verbal communication skills.
  • Soft Skills:
    • Eagerness to learn and test out new ideas.
    • Strong work values - dependable, honest, and positive attitude.
    • Solution-based mindset, always looking to find answers.
    • Generalist mindset, willing to work in different domains based on need.

Preferred Skills and Qualifications:

  • Experience with common RDBMS platforms such as Postgres, SQL Server, etc.
  • Experience with Big Data platforms like Databricks.
  • Experience with NoSQL databases.
  • Experience or interest in finance and the portfolio management process.
  • Experience or interest in learning new data visualization tools and platforms.

Why Join Us?

  • Innovative Environment: Be a part of a team that values innovation and encourages continuous learning and development.
  • Global Impact: Work on projects that have a global impact and engage with clients and colleagues from around the world.
  • Professional Growth: Opportunities for career advancement and professional development within a leading global financial institution.

The role being advertised is an existing vacancy.

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 [email protected].

Referenced Salary Location

Montreal, Quebec

Working Arrangement

Hybrid

Salary range is expected to be between

$88,800.00 CAD - $138,800.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. 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. If you are applying for this role outside of the primary location, please contact [email protected] for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact [email protected] for more information about U.S.-specific paid time off provisions.

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.

Skills

PythonSQLSQL ServerMachine LearningDatabricksGitHubExcelPower BIRisk ManagementPrototyping

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