We are seeking skilled professionals to join the Investment Risk Oversight team within Manulife’s Global Wealth & Asset Management (GWAM) segment. In this role, you will collaborate with team members and internal stakeholders to enable independent oversight of investment risks managed or manufactured within Manulife’s GWAM segment.
You will design, build, and maintain Python applications, data pipelines, and AI-enabled tools that support investment risk reporting, analytics, and governance. Working closely with specialists across Portfolio, Market, Liquidity, and Counterparty Risk, you will help strengthen the underlying risk data infrastructure, ensuring data quality, scalability, and sustainable operation of applications and data assets. You may apply Large Language Models (LLMs) to transform structured and unstructured financial data into actionable insights and clear risk narratives aligned with global and regional reporting needs.
Position Responsibilities:
- Risk Infrastructure, Data Management & Automation (30%):
- Maintain and enhance risk infrastructure for collecting, storing, transforming, and managing risk data, including data lakes, data warehouses, and data pipelines, ensuring data integrity and accessibility, primarily using Python, SQL, and related tools.
- Design and implement workflows to automate data transformation, extract structured information from unstructured sources (e.g., PDFs, Excel, SharePoint), and generate insights that improve the efficiency of risk reporting and decision-making.
- Work closely with technology, data, and other relevant teams to ensure smooth investment data flow and integration, and to support the integrity of risk analytics produced from the risk systems.
Risk Reporting (30%):
- Contribute to investment risk reporting and analytics for GWAM and its underlying business units / regions, ensuring accurate and timely reporting coupled with concise narratives of key observations and areas of concern.
- Develop dashboards and analytical tools using data visualization platforms (e.g., Power BI, Tableau) and Python-based libraries.
Process Optimization (10%):
- Manage and prioritize a pipeline of development and enhancement requests.
- Enhance data quality and improve the efficiency of risk processes to ensure accurate and reliable risk assessments.
- Identify, evaluate, and implement tools and platforms to streamline risk management processes such as automating risk reporting capabilities.
Stakeholder Engagement (20%):
- Collaborate with investment risk managers and stakeholders to understand requirements and translate them into technical specifications.
- Facilitate the effective operation of regional investment risk forums by preparing discussion materials and engaging in discussions with forum members to address key observations and concerns.
Team Management and Development (5%):
- Provide guidance, coaching, and informal mentorship to support team development and knowledge sharing.
Regulatory Compliance and Industry Standards (5%):
- Stay abreast of regulatory requirements and industry standards related to investment risk oversight, ensuring compliance and adherence to best practices.
- Assess market developments to evaluate their impact on risk exposures and ensure timely, accurate reporting to stakeholders.
Required Qualifications:
- A bachelor’s or master’s degree in finance, economics, mathematics, statistics, engineering or a related field.
- Recent graduates or early-career professionals (0–3 years), preferably with experience in finance or financial markets (e.g., asset managers, financial institutions, or fintech firms).
- Demonstrated proficiency in Python (including relevant libraries) and SQL.
- Demonstrated experience building AI-enabled solutions, including practical experience integrating LLM APIs (e.g., Azure OpenAI, OpenAI) for use cases beyond basic chat, such as advanced prompt engineering, retrieval-augmented generation (RAG), structured data extraction, or document processing.
- Foundational understanding and application of ML and LLMs.
- Working understanding of core investment concepts, including market risk, liquidity risk and exposure analysis.
- Experience with data visualization tools such as Power BI, Tableau, or similar data visualization tools.
Preferred Qualifications:
- Experience with implementing or exposure to any market risk analytics system (e.g., MSCI, Blackrock Aladdin, Bloomberg, etc.) is a plus
- Pursuing or completing professional certifications like CFA, FRM, PRM, or CAIA is desirable.
- Bilingualism (English and French) is a strong asset. If the successful candidate is in Québec, proficiency in both languages will be required to support clients from various provinces outside of Quebec.
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.
#LI-Hybrid
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
Hybrid
Salary range is expected to be between
$52,650.00 CAD - $87,750.00 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.
