обновлено 4 дня назад
Senior Portfolio Manager (Insurance Pricing)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Portfolio Manager (Insurance Pricing): Embedding portfolio management across the London Market through data-led performance analysis, pricing model development, and underwriting partnership with an accent on specialty insurance, actuarial judgement, and portfolio profitability. Focus on calibrating pricing models, building advanced analytics and dashboards, and translating granular performance trends into commercially relevant underwriting decisions.
Location: London, UK; hybrid working
Salary: Starting salary plus annual bonus; exact amount not specified
Company
is an insurance business focused on specialty markets, underwriting, portfolio performance, and analytical decision-making.
What you will do
- Lead portfolio performance insights and support the pricing and portfolio management agenda for the London division.
- Partner with Managing Directors and underwriters to improve underwriting strategy, portfolio profitability, and decision-making.
- Develop, calibrate, and refine pricing models across relevant insurance classes.
- Monitor performance drivers across class and segment levels, including open market and delegated business.
- Support Quarterly Business Reviews and quarterly business planning with clear links between plans, performance, and actions.
- Build advanced analytics, pricing tools, dashboards, and automation in collaboration with actuarial, claims, data/IT, and delegated teams.
Requirements
- Deep London Market experience, including specialty lines, underwriting dynamics, portfolio performance drivers, and market practices.
- Strong pricing and actuarial expertise with hands-on experience developing, calibrating, and refining rating models.
- Advanced Excel skills and proficiency in SQL for extracting and analysing large datasets.
- Experience working with underwriters and senior stakeholders to communicate complex technical insights clearly.
- Strong commercial judgement, ownership, prioritisation, and delivery skills in a fast-paced environment.
- Experience with data visualisation tools such as Power BI or similar.
Nice to have
- Python experience for modelling, analytics, and automation.
- Exposure to advanced analytics or data science techniques.
Culture & Benefits
- Hybrid working and flexible working patterns are considered.
- Annual bonus and a benefits package including up to a 16% company pension scheme.
- Private medical and dental cover, income protection, life assurance, travel insurance, and an electric car scheme.
- Twenty-five days of paid holiday plus bank holidays, with the option to buy or sell additional leave.
- Learning and career development opportunities, with reasonable accommodations available during recruitment and employment.
Hiring process
- Submit a short application through the Apply Now process.
- Reasonable accommodations can be requested for the application or interview process.
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