Manulife Investment Management’s Quantitative Development team is a small, dynamic group with a broad mandate to design, engineer, and implement investment-focused tools, data solutions, and models.
Manulife manages over $800 billion in public and private investments across the Wealth and Asset Management segment. Our team is designed to help the firm deliver more alpha, more efficiently.

Our Mission:

• Partner with equity, fixed income, multi-asset, and trading groups to enhance investment processes.
• Provide quantitative analysis on strategies to Chief Investment Officers and investment teams.
• Develop robust, investment-centric, infrastructure with our data and technology partners.
• Effectively communicate research, process, and output to non-technical audiences.

Our DevOps model and cloud-based infrastructure ensure agile and governed deployment, benefiting both our team and our clients.
As a Quantitative Development Analyst, you will play a crucial role in our team, engaging in diverse projects that require a blend of investment, analytics, technology, and data engineering skills. You will help us build new solutions while also helping us maintain, scale, and enhance existing ones.

REQUIRED QUALIFICATIONS:

• 2+ years work experience in financial markets and experience in developing technology-driven solutions.
• Proficiency in programming with Python or R.

PREFERRED QUALIFICATIONS:

• Strong desire and ability to learn new things, with an entrepreneurial mindset.
• Excellent communication skills, with the ability to convey complex information to non-technical audiences.
• Knowledge of investment data/tools including Aladdin, FactSet, Bloomberg, S&P Capital IQ, Morningstar.
• Experience with databases such as PostgreSQL, Databricks, MS SQL Server, Qdrant, and MongoDB.
• Familiarity with cloud infrastructure tools like Kubernetes, Airflow, Linux, and Docker on Azure/AWS a plus.
• Competence in data visualization tools such as Streamlit, Shiny, Power BI, Tableau, Plotly, and Dash a plus.
• Bilingual (English & French) preferred but not required - The successful candidate will be required to communicate in English and French in order to support clients from various jurisdictions.

• Collaborating with investment teams across equities, fixed income, derivatives, multi-asset solutions, and trading at various stages of creation (research & development, deployment, implementation/production).
• Enhancing technology infrastructure to streamline the process of bringing prototypes to production standards, ensuring scalability and efficiency.
• Working with Advanced Analytics teams on data models to support artificial intelligence research in the investment domain.
• Engaging with end users to understand their needs, demonstrate solutions, and gather feedback for continuous improvement.