About the position
The Casualty Analytics Product Owner will be responsible for driving Casualty exposure and data analytics for the QBE Re Casualty book, globally. Working with underwriters, technology, ops and actuarial to define and drive the scope of delivery of the projects supporting our wider transformation agenda. You will be accountable for maximising the business value achieved through the transformation. You will make day-to-day decisions and agree requirements for the casualty exposure analytics project. The Casualty Analytics Product Owner will be embedded within the project delivery team providing the expertise and business experience to shape and build the solution. You will be able to provide the drive to ensure pragmatic decisions are made to delivery value in a way that is efficient, repeatable and embedded in the business operations. You will act as the “voice of the business” and provide specific guidance on the initiative objectives. You will articulate needs, and desired outcomes for the initiative, supporting the prioritisation of the initiative backlog based on these business needs.
Responsibilities
- Drive Casualty exposure and data analytics for the QBE Re Casualty book globally.
- Work with underwriters, technology, ops, and actuarial to define and drive project delivery scope.
- Maximise business value achieved through transformation.
- Make day-to-day decisions and agree requirements for casualty exposure analytics project.
- Provide expertise and business experience to shape and build solutions.
- Ensure pragmatic decisions are made to deliver value efficiently and repeatably.
- Act as the 'voice of the business' and provide guidance on initiative objectives.
- Articulate needs and desired outcomes for initiatives.
- Support prioritisation of initiative backlog based on business needs.
Requirements
- Working knowledge of casualty lines (re)insurance underwriting and/or pricing and portfolio analytics.
- Experience working with structured and unstructured casualty data.
- Knowledge of software that can support data analytics (e.g. R, Python, SAS, database structures/querying).
- Experience in undertaking or overseeing analytics projects with incomplete and non-standard datasets.
- Strong stakeholder management skills.
- A 'can do' commercial mindset and ability to navigate ambiguity.
- Data science, technical underwriting or actuarial experience.
Nice-to-haves
- Actuarial experience.
Benefits
- Hybrid Working – a mix of working from home and in the office.
- 22 weeks of paid leave depending on the circumstances in growing your family with 12 of those weeks available to all parents, on a gender-equal basis.
- Competitive 401(k) program with company match up to 8%.
- Well-being Programs: Enjoy monthly Guided Meditations and a Well-being Rebate Program for gym memberships, fitness programs, and more.
- Tuition Reimbursement for continuing education through certifications, external professional development and degree related college courses.
