Analyste principal, Surveillance des risques de placement, GPAM

Company 1 - The Manufacturers Life Insurance Company; Montreal; Hybrid; CAD 69,000 - 117,000; Full time

Job summary

A leading financial services provider in Montreal seeks an early-career professional in the Investment Risk Oversight team. The role involves managing risk data, enhancing reporting capabilities, and leveraging AI tools for improved investment risk management. Candidates should possess a strong analytical background, with knowledge in Python and data visualization, alongside a keen interest in exploring AI’s potential in finance. Enjoy a hybrid work environment with a competitive salary and diverse benefits to support your professional growth.

Benefits

Health and dental benefits

Mental health support

Retirement savings plan with employer matching

Paid time off program including vacation and sick days

Employee assistance plans

Qualifications

• Minimum 3+ years in investment risk, risk reporting, analytics, or risk data management.
• Experience with data visualization tools and proficiency in Python, R or SQL.
• Familiarity with generative AI tools is highly valued.

Responsibilities

• Transform extensive risk datasets and optimize risk data infrastructure.
• Develop dashboards for risk reporting and engage stakeholders.
• Ensure regulatory compliance and address market developments.

Skills

Risk Management

Data Analysis

Statistical Analysis

Communication

Curiosity for AI

Education

Bachelor's degree in finance, economics, mathematics, or related field

Tools

Microsoft PowerBI

Tableau

Python

R

SQL

Job description

We are seeking skilled professionals to join the Investment Risk Oversight (IRO) team within the Global Wealth & Asset Management (GWAM) segment. The IRO is part of the 'second line' risk function, reporting to the Chief Risk Officer of the 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.

Key responsibilities include transforming extensive risk datasets to improve risk reporting capabilities and crafting risk narratives that meet both global and regional needs. Additionally, you will develop and optimize risk data infrastructure and processes in collaboration with cross-functional teams to ensure data integrity and seamless integration. The role is well-suited for early-career professionals with a strong interest in artificial intelligence (AI), demonstrated curiosity for experimenting with AI models, and a desire to learn and develop AI-enabled workflows on the job.

Individual Responsibilities :

Risk Infrastructure and Data Management :

• Maintain and enhance risk infrastructure for collecting, storing, and managing risk data, including data lakes, data warehouses, and data pipelines, ensuring data integrity and accessibility by often utilizing programming languages such as Python, R, or SQL.
• Work in close collaboration with technology, data, and other relevant teams to ensure seamless data flow and integration.
• Collaborate with relevant functions to ensure the high integrity of risk analytics produced from the risk systems.
• Collaborate with data and technology teams to design and implement AI-enabled workflows - using APIs from platforms like OpenAI or Azure OpenAI to automate data transformation, generate insights, and enhance the efficiency of risk reporting and decision-making processes.
• Serve as subject matter expert for 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 comprehensive dashboards using data visualization tools like Microsoft PowerBI or Tableau to effectively communicate complex investment risk concepts and actionable insights to stakeholders.
• Develop, maintain, and enhance aggregated Key Risk Indicators for inclusion in reports distributed to stakeholders.
• Leverage AI tools such as ChatGPT and Copilot, along with prompt engineering techniques, to analyze investment risk data, derive insights, and enhance the efficiency and clarity of reporting.

Process Optimization :

• Manage and prioritize queue of development and enhancement requests for existing tools and solutions.
• 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 automate risk reporting capabilities.

Stakeholder Engagement :

• Collaborate with team members (i.e. the 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.

Regulatory Compliance and Industry Standards :

• Stay abreast of regulatory requirements and industry standards related to investment risk oversight, ensuring compliance and adherence to best practices.
• Proactively assess market developments to determine their impact on risk exposures and ensure timely, accurate reporting to stakeholders.

Job Requirements :

• A bachelor’s degree in finance, economics, mathematics, or a related field.
• A minimum of 3+ years of experience in investment risk, risk reporting, analytics, or risk data management within a buy-side investment management firm or related financial institution, with an understanding of investment risk principles.
• Experience with data visualization tools such as Microsoft PowerBI or Tableau.
• Demonstrated proficiency in Python, R or SQL, with the ability to develop and manage database queries.
• Pursuing or completion of professional certifications like CFA, FRM, PRM, or CAIA is desirable.
• Experience with implementing or exposure to any market risk analytics system (e.g., MSCI, Bloomberg, etc.) is desirable.
• Familiarity with generative AI tools like ChatGPT, Copilot etc. to accelerate analytical tasks.
• Experience through coursework, personal projects, internships, or previous roles involving AI is highly valued.
• Strong quantitative and analytical skills, with proficiency in statistical analysis and the ability to manipulate and interpret large datasets.
• Keen interest in exploring how AI can enhance investment risk management processes.
• The ability to work in a fast-paced, dynamic environment and manage multiple priorities with a high degree of accuracy and attention to detail.
• Excellent written and verbal communication skills, along with strong interpersonal abilities.

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.

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 .

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 .

Referenced Salary Location

Working Arrangement

Hybrid

Salary range is expected to be between

69,750.00 CAD - $116,250.00 CAD

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

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 for more information about U.S.-specific paid time off provisions.