Senior Full Stack Analytics Developer

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 of 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.

Equal Opportunity Employer

Manulife and 恒康致力於吸引、培養及挽留與所服務客戶同樣多元的員工，並從而營造包容的工作環境，接納文化和個體差異。Manulife／恒康將維持公平的招聘、挽留、晉升及薪酬制度，其所有實踐及項目均不會因種族、血統、原籍地、膚色、族裔、國籍、宗教或宗教信仰、信仰、性別（包括懷孕及其相關情況）、性取向、遺傳特徵、退伍軍人身份、性別認同、性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其他因素而區別對待。

我們的首要任務是為員工提供平等就業機會。人力資源部代表將盡力為應徵過程中提出要求的申請人提供合理協助。若需協助，請聯絡 。

Salary & Benefits

Location: Montreal, Quebec

Working Arrangement: Mixed

Salary range: $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. Actual salary will vary depending on local market conditions, geography and relevant job‑related factors such as knowledge, skills, qualifications, experience, and education/training. For roles outside the primary location, contact 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. For U.S. specific paid time off provisions, contact

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, refer to our personal information collection statement.

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