Third-Party Risk Management Analyst (TPRM) – Vendor Risk & Due Diligence

Recrute Action; Toronto; Hybrid; CAD 86,000 - 136,000; Full time

Job summary

Manulife in Toronto seeks a versatile analyst with finance, data, and AI capabilities to bridge business needs and technology solutions. You will translate asset‑liability management, hedging, and analytics requirements into practical, reliable applications and AI-enabled tools.

The role emphasizes structured problem solving, stakeholder collaboration, and sound judgment across business and IT teams to deliver measurable outcomes in a hybrid work environment.

Qualifications

• Bachelor’s degree or above in a technical or analytical field.
• Hands-on experience with AI APIs or platforms to solve problems and develop prototypes.
• Strong financial services knowledge with data, analytics, and AI capabilities.
• Ability to translate complex requirements into structured specs and solutions.

Responsibilities

• Assess asset and liability data feeds and identify patterns for downstream use.
• Create mappings from position data to valuation models based on attributes and guidance.
• Decompose business requirements into AI-enabled implementation components.
• Document workflows, data flows, calculations, interfaces, and user stories.
• Collaborate with stakeholders to clarify scope, priorities, and outcomes for analytics projects.

Skills

SQL

Python

C++

Java

AI APIs

Data analysis

Stakeholder management

Problem solving

Education

Bachelor’s degree in Finance, CS, Math, Stats, Eng, Actuarial or Data Science

Tools

SQL tooling

APIs

ETL/Data integration

Job description

Are you a practical problem solver who can connect finance, data, technology, and AI? Do you enjoy translating complex asset‑liability management and hedging needs into reliable solutions? If so, we would like to hear from you.

Full‑time

Solutions & Integration supports the dynamic business of managing market risks embedded in assets and liabilities. The team develops and supports solutions for ALM, Global Hedging, valuation, reporting, and data analysis, while exploring responsible ways to use AI to improve delivery, troubleshooting, and productivity.

The ideal candidate combines strong financial services knowledge with business analysis, software development, data, and AI capabilities. The role requires sound judgment, a structured approach to problem solving, and the ability to work across business and technology teams to deliver practical, supportable solutions.

Position Responsibilities

Business Analysis and Solution Design

• Assess asset and liability data feeds, interpret their content and business meaning, and identify patterns that support downstream use.
• Create and maintain mappings from position data to appropriate valuation models based on security attributes and approved model‑use guidance.
• Decompose complex business requirements into clear components that can be implemented by AI agents or IT partners.
• Document workflows, data flows, calculations, controls, interfaces, user stories, and integration requirements.
• Analyze structured and unstructured datasets to clarify business needs, investigate issues, and support solution design.
• Collaborate with stakeholders across segments to clarify scope, priorities, requirements, and expected outcomes for analytics and solution initiatives.
• Define metrics for reports, dashboards, and ad hoc analysis, and develop supporting data‑flow diagrams.

AI Solution Development and Innovation

• Identify and assess practical AI opportunities across ALM application development, production support, analysis, testing, documentation, data investigation, issue resolution, and user productivity.
• Prototype and implement AI agents that retrieve and analyze business data, enabling users to obtain results through natural‑language interactions.
• Design, build, test, and enhance AI‑enabled applications, tools, agents, and POCs.
• Apply business and technical judgment to determine when AI is appropriate and how its outputs should be validated and used.
• Evaluate AI outputs for accuracy, relevance, consistency, latency, cost, and reliability, with appropriate validation, human review, fallback, and escalation controls.
• Frame business problems clearly, use AI tools and agents to accelerate delivery, and validate outcomes with business partners.
• Apply responsible AI practices covering privacy, security, access permissions, traceability, monitoring, and human accountability.

Application Development and Support

• Apply domain knowledge and software engineering practices to develop POCs, document application interfaces, collaborate with IT partners on implementation, and support regression and user acceptance testing.
• Analyze, clean, transform, reconcile, and validate structured and unstructured asset and liability data.
• Provide technical support and troubleshoot applications, including investigating, reconciling, and validating data issues.
• Contribute throughout the solution lifecycle, from requirements analysis, solution design, development, testing, implementation, production support, and continuous improvement.
• Assist in defining data models, reporting metrics, validation rules, and control requirements based on business needs.

Required Qualifications

• Bachelor’s degree or above in Finance, Computer Science, Mathematics, Statistics, Engineering, Actuarial Science, Data Science, or a related analytical or technical discipline. Combined finance and technology education or experience is an asset.
• Demonstrated ownership and accountability, with the ability to apply subject‑matter knowledge, follow established standards, and improve the quality of team deliverables.
• Practical financial services experience in asset‑liability management, hedging, valuation, or risk management, with a solid understanding of financial instruments and insurance products.
• Hands‑on experience with AI APIs or platforms to solve problems, improve productivity, develop prototypes, support reliable solutions, and communicate outputs clearly.
• Experience in business analysis, requirements engineering, and solution design within complex business and technology environments.
• Ability to translate financial, operational, and data requirements into structured functional and technical specifications, including for AI‑enabled and numerical solutions.
• Proficiency in SQL and at least one programming language, such as Python, C++, Java, Numba/CUDA.
• Experience applying solution design techniques such as data‑flow diagrams, sequence diagrams, APIs, interface contracts, and component‑level decomposition.
• Knowledge of ETL processes for systems and analytical use cases.
• Ability to visualize, interpret, and present machine‑learning model results.
• Strong analytical, troubleshooting, documentation, communication, facilitation, and stakeholder collaboration skills, with the ability to independently manage assigned priorities and coordinate defined workstreams across teams.

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.

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 .

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 .

Working Arrangement

Hybrid

Salary range is expected to be between

$86,100.00 CAD - $136,100.00 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 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 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 .