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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML model validation, risk management, and statistical analysis, with a strong ability to communicate findings to diverse stakeholders. Proficient in mentoring junior data scientists and managing model governance processes within a corporate environment.
Highest-signal resume keywords
AI/ML Model ValidationStatistical AnalysisModel Risk ManagementStrong Communication SkillsData Science Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceModel TestingQuantitative AnalysisReport WritingCode ImplementationModel Performance MetricsValidation Framework DevelopmentBenchmarkingSensitivity AnalysisAI/ML Research
Soft Skills
Critical ThinkingStakeholder ManagementCollaborationMentoringKnowledge Sharing
Certifications & Qualifications
Master's Degree or Higher in StatisticsBiostatisticsData ScienceEngineeringMathematics
Industry Keywords
AI GovernanceModel Risk Regulatory ExpectationsOSFI E-23Responsible AIGenerative AILLMsRAG SystemsAgentic AI SolutionsAutomated Assurance ToolingCross-Functional Environments
About the role
Key responsibilities & impact- Provide independent challenge and constructive feedback for AI/ML, GenAI, and agentic models
- Identify model weaknesses, limitations, assumptions, and risks, and recommend remediation actions
- Manage competing deadlines and expectations and coordinate procedural alignment
- Communicate technical concepts and validation findings to technical and non-technical stakeholders
- Review model documentation and assess model design and performance
- Produce clear, evidence-based validation reports and recommendations
- Conduct model testing, benchmarking, sensitivity analysis, and other validation activities
- Evaluate whether AI models are reliable, fair, safe, explainable, and fit for purpose
- Support model inventory management, model risk operations, and AI governance processes
- Mentor and support junior data scientists through technical coaching, knowledge sharing, and review of validation methodologies
- Identify, assess, and communicate AI/ML model risks across models deployed globally at Manulife
Requirements
What you’ll need- Master's degree or higher in Statistics, Biostatistics, Data Science, Engineering, Mathematics, or a related quantitative field
- At least 3-5 years of combined hands-on data science experience and stakeholder-exposed experience
- Experience in data science, statistics, AI/ML model development, AI/ML research, model validation, model risk management, or a related quantitative discipline
- Strong critical thinking skills and ability to independently challenge assumptions and assess model risk
- Hands-on report writing and code implementation
- Experience interpreting model performance metrics and conducting quantitative analyses
- Strong communication, written documentation, and stakeholder management skills
- Ability to collaborate with parties across a large corporation
- Prior AI/ML model validation or production AI/ML model development experience preferred
- Knowledge of AI governance and model risk regulatory expectations, especially OSFI E-23, preferred
- Familiarity with Responsible AI concepts preferred
- Experience evaluating Generative AI, LLMs, RAG systems, or agentic AI solutions preferred
- Experience developing validation frameworks, testing libraries, or automated assurance tooling preferred
- Experience in global, cross-functional environments preferred
- Experience conducting AI/ML research in academic or industry settings preferred
Benefits
Comp & perks- Flexible environment supporting learning, growth, well-being, and inclusion
- Health, dental, mental health, and vision benefits
- Short- and long-term disability insurance
- Life and AD&D insurance coverage
- Adoption/surrogacy benefits
- Wellness benefits
- Employee/family assistance plans
- Retirement savings plans, including pension
- Global share ownership plan with employer matching contributions
- Financial education and counseling resources
- Paid holidays, vacation, personal, and sick days in Canada
- Statutory leaves of absence
- Incentive programs and incentive compensation tied to business and individual performance