At a Glance
- Tasks: Shape global Cyber pricing using actuarial expertise and data science.
- Company: Join QBE Insurance, a leader in innovative risk solutions.
- Benefits: 30 days holiday, flexible working, private medical insurance, and sustainable investing.
- Other info: Dynamic team with excellent career growth and development opportunities.
- Why this job: Make a real impact in Cyber pricing while working remotely.
- Qualifications: Strong analytical skills and proficiency in Excel and Python.
The predicted salary is between 60000 - 80000 Β£ per year.
hackajob is collaborating with QBE Insurance to connect them with exceptional professionals for this role.
Play a key role in shaping global Cyber pricing by combining actuarial expertise with data science to drive profitable growth and support underwriting decisions. We are seeking a Global Pricing Actuary to join our Group Pricing team in London, supporting Cyber pricing on a global scale. This role combines business partnering, underwriting collaboration, and advanced pricing analytics, with a focus on the robust development and controlled deployment of pricing models into production.
We are committed to developing expertise across both insurance and data science, and to equipping our team with the tools, data, and insights they need to excel. Weβre building momentum towards our vision to become the most consistent and innovative risk partner.
Key Responsibilities:
- Operate within the Global Cyber Pricing team, building and maintaining strong relationships across the global Cyber community, including Underwriting, Pricing, Technology, Actuarial and offshore teams.
- Lead the development and delivery of Cyber pricing models to Divisional Pricing teams, including implementation into pricing systems and collaboration with the Technology community, alongside supporting testing and validation.
- Partner with third-party data providers to enhance internal datasets and support external data submissions.
- Provide analytical insight to inform portfolio management, performance projections, rate change strategy, and ongoing pricing model development.
- Integrate advanced data science techniques with traditional actuarial methods to support a market-leading Cyber pricing approach.
- Provide oversight, support and guidance to the Group Pricing India team to ensure consistent and high-quality delivery.
Requirements:
- Strong analytical and problem-solving capability, with the ability to interpret complex data and generate insight.
- Strong technical capability in Excel and Python; knowledge of SQL or R would be advantageous.
We offer a range of benefits to help provide holistic support for your work life, whatever your circumstances:
- 30 days holiday a year with the option to buy up to 2 additional days.
- Flexible working - balancing work and life is important so our flexible working opportunities are open to all, this can include part-time, job share and compressed hours.
- Pension β you are automatically enrolled into the QBE pension plan, which entitles you to receive employer contributions of 10% of your basic salary.
- Private medical insurance β we fund fully comprehensive private medical cover for you and all the family.
- Family friendly policies β we offer 26 weeks leave at full pay regardless of gender identity, sexual orientation or how you become a parent.
- Short term remote work abroad - you can request up to 20 days per year to work remotely from certain locations abroad.
- Sustainable investing - we believe sustainable integration is important for long term financial, environmental, and social outcomes.
- Cycle-to-Work β benefit from regular exercise whilst making your commute greener and cheaper, select and bike and/or accessories up to the value of Β£5,000.
Skills: Actuarial Science, Analytical Thinking, Collaboration Tools, Communication, Critical Thinking, Customer Service, Data Quality Assessments, Intentional collaboration, Managing performance, Price Modelling, Pricing Strategies, Programming Languages, Research Analysis, Risk Management, Working Independently.