Job Description
Manulife Investment Management is a leading global wealth and asset management firm with a commitment to providing innovative investment solutions. As part of our Digital Enablement 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 groups in the US, Canada, London, Hong Kong, Tokyo, and other regions in Asia.
Job Description:
We are seeking a highly skilled and motivated 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.
Key Responsibilities:
Data Visualization Development: Lead end-to-end development of data visualization solutions, including deploying data analysis tools within the organization.
Interactive Content Creation: Develop robust data visualizations and reports for multiple use cases and varying levels of user interactivity.
Prototyping and Communication: Quickly prototype solutions and efficiently 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.
User Engagement: Work closely with end users to understand requirements, provide demonstrations, conduct technical walkthroughs, and collect feedback to refine data visualization 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:
Solid experience documenting and communicating requirements with project partners.
Experience using GitHub for collaboration.
Strong written and verbal communication skills.
Soft Skills:
Eagerness to learn and test out new insights.
Strong work values - diligent, honest, and positive demeanor.
Solution-based approach, always looking to find answers.
Generalist attitude, 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.
Interest in finance and the portfolio management process.
Interest in learning new data visualization tools and platforms.
