Partner with actuarial, data science, and engineering teams as the primary documentation-focused Asset Owner for modeling assets across the Actuarial Strategic Modeling organization.
Author and maintain end-to-end model documentation covering the full analytical lifecycle.
Produce and manage documentation in Markdown format using modern IDEs such as VS Code.
Ensure documentation adheres to internal Model Risk Management standards and aligns broadly with industry best practices.
Review and enhance documentation produced by model developers to ensure appropriate depth, clarity, consistency, structured writing quality and technical rigor.
Participate in model peer reviews, synthesizing feedback and supporting post-review documentation updates while serving as an objective contributor.
Develop process visuals, data flow diagrams, and model design artifacts using tools such as Visio or draw.io to clearly communicate analytical workflows, controls and information architecture.
Create compelling presentations and written materials for department leadership that effectively communicate complex modeling concepts, results, and outcomes.
Support multiple concurrent initiatives across lines of business, managing competing priorities and timelines while maintaining high documentation quality.
Manage documentation lifecycle activities including versioning, archival, and accessibility across GitHub and SharePoint repositories to support record retention and audit readiness.
Contribute to the development, maintenance, and continuous improvement of internal SharePoint pages and documentation resources supporting the department.
Leverage modern tooling, including familiarity with Python-based model workflows, GitHub workflows, and docs-as-code practices to support documentation efficiency and quality.
Identify opportunities to improve documentation processes, templates, standards, and adoption across the department.
Support Agile ways of working, including iterative documentation updates aligned to sprint-based delivery.

Requirements

Graduate degree with 2 or more years of experience, or bachelor’s degree with 4 or more years of experience, in a technical, quantitative, or writing-intensive discipline.
Demonstrated experience writing or engineering technical documentation for analytical, actuarial, data science, or statistical modeling assets.
Experience documenting models across the full model lifecycle, from development through implementation and monitoring.
Strong ability to translate complex technical and analytical concepts into clear, structured, and logically organized documentation for both technical and non-technical audiences.
Proficiency with Markdown, modern development environments, and documentation workflows.
Comfort reviewing Python code and collaborating closely with data scientists and engineers.
Strong proficiency with Microsoft Office tools, with emphasis on Word, PowerPoint, and SharePoint.
Excellent written and verbal communication skills with strong attention to detail and editorial quality.
Proven ability to manage multiple initiatives simultaneously and work effectively across cross-functional teams.
Self-starter with strong ownership, accountability, judgment, and collaboration skills.

Benefits

Other rewards may include short-term or annual bonuses
long-term incentives
on-the-spot recognition

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

technical documentationmodel documentationanalytical lifecycledocumentation workflowsMarkdowndata flow diagramsmodel design artifactsPythonAgileversioning

Soft Skills

communication skillsattention to detailcollaboration skillsownershipaccountabilityjudgmentability to manage multiple initiativesstructured writingsynthesizing feedbackself-starter