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.

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 robust 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.

關於宏利和恒康 宏利金融公司是一家業界領先的國際金融服務商，致力於幫助人們實現「輕鬆投資理財，樂享豐盛人生」。若要進一步了解我們，請瀏覽https://www.manulifeim.com/institutional/tw/en。

宏利是平等機會僱主 在宏利／恒康，我們擁抱多元。我們致力於吸引、培養及挽留和所服務客戶同樣多元的員工，並從而營造包容的工作環境，接納文化和個體差異。我們矢志維持公平的招聘、挽留、晉升及薪酬制度，我們管理的所有實踐及項目不會因種族、血統、原籍地、膚色、族裔、國籍、宗教或宗教信仰、信仰、性別（包括懷孕及其相關情況）、性取向、遺傳特徵、退伍軍人身份、性別認同、性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其他因素而區別對待。

我們的首要任務是消除障礙，為員工提供平等就業機會。人力資源部代表將盡力為應徵過程中提出要求的申請人提供合理協助。申請人要求提供協助所分享的信息將會按照適用法律及宏利／恒康政策儲存及使用。應徵過程中如需協助，請聯絡 [email protected]。

Referenced Salary Location Toronto, Ontario

Working Arrangement 混合式

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 [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.

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📌 Senior Analyst, Risk Management Solutions and Integrations (Toronto)
🏢 Manulife
📍 Toronto