This is a high-visibility, high-impact role suitable for experienced data scientists who also have strong communications ability and business awareness, as well as the ability to make judgment calls in ambiguous situations. You will support Global AI Model Validation and Governance’s mandate of identifying, assessing, and communicating AI/ML model risks across all AI/ML models deployed across Manulife globally. You will provide thoughtful independent challenge ot models, weighing the risks and benefits and explaining your conclusions to technical and non-technical audiences alike.
You will interact heavily with model developers, business stakeholders, and other risk management teams, each potentially offering contrasting perspectives that you will have to navigate and align simultaneously. You will also be expected to use your data science experience to mentor and guide junior members of the team.
Position Responsibilities:
- Provide independent challenge and constructive feedback for AI/ML, GenAI, and agentic models by identifying model weaknesses, limitations, assumptions, and risks, and recommending appropriate remediation actions.
- Manage competing deadlines, competing expectations, and coordinate procedural alignment to ensure the balance of risk management activities is commensurate with the business risk exposure.
- Communicate complex technical concepts and validation findings to technical and non-technical stakeholders, while ensuring that the risk management process is followed.
- Review model documentation, assess model design and performance, and communicate validation findings through clear, evidence-based reports and recommendations.
- Conduct model testing, benchmarking, sensitivity analysis, and other validation activities.
- When appropriate, evaluate whether AI models are reliable, fair, safe, explainable, and fit for their intended purpose.
- Support model inventory management, model risk operations and other AI governance processes.
- Mentor and support junior data scientists through technical coaching, knowledge sharing, and review of validation approaches and methodologies.
Required Qualifications:
- Master's degree or higher in Statistics, Biostatistics, Data Science, Engineering, Mathematics, or a related quantitative field.
- At least 3-5 years of a mix of hands-on data science experience (data science, statistics, AI/ML model development, AI/ML research, model validation, model risk management, or a related quantitative discipline) and a stakeholder-exposed role (functions that interact with varying teams and business units across the organization.)
- Strong critical thinking skills and the ability to independently challenge assumptions and assess model risk in the context of the business problem it solves.
- Hands-on keyboard report writing and code implementation; being able to implement your ideas yourself.
- Experience interpreting model performance metrics and conducting quantitative analyses in a variety of standard and non-standard contexts.
- Strong communication, written documentation, and stakeholder management skills.
- The ability to collaborate with parties from all walks of a large corporation.
Preferred Qualifications:
- Prior model validation experience for AI/ML models or development of AI/ML models for production environments with tangible risk exposures. Comparable experience includes model development in stringently risk-controlled contexts such as pharmaceuticals, aerospace, etc.
- Knowledge of AI governance and model risk regulatory expectations, with emphasis on OSFI E-23.
- Familiarity with Responsible AI concepts, including fairness, explainability, robustness, transparency, safety, and monitoring. Being passionate about Responsible AI is a plus.
- Experience evaluating Generative AI, LLMs, RAG systems, or agentic AI solutions built or customized to solve a very broad range of business problems.
- Experience developing validation frameworks, testing libraries, or automated assurance tooling.
- Experience working in a global, cross-functional environment.
- Experience performing research on AI/ML models in academic or industry settings.
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.
Acerca de Manulife y John Hancock
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite http://www.manulife.com .
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En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a hr@manulife.com .
Referenced Salary Location
Toronto, Ontario
Modalidades de Trabajo
Híbrido
Salary range is expected to be between
$129,400.00 CAD - $179,400.00 CAD
Los empleados también tienen la oportunidad de participar en programas de incentivos y recibir una compensación vinculada al rendimiento empresarial e individual. El salario real variará según las condiciones del mercado local, la geografía y factores relacionados con el puesto como conocimientos, habilidades, requerimientos, experiencia y educación/formación. Si solicitas este puesto fuera de tu ubicación principal, por favor escríbenos a hr@manulife.com para conocer el rango salarial correspondiente a tu ubicación.
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