обновлено 7 дней назад
Senior Technical Pricing Analyst
52 800GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Technical Pricing Analyst (Actuarial Modelling and Machine Learning): Developing statistical risk models and analytical pricing solutions for UK motor and household insurance with an accent on actuarial modelling, data preparation, and research-driven innovation. Focus on improving model sophistication, applying machine learning techniques in Python or R, and translating complex results into profitable business decisions.
Location: Any UK office, hybrid, with the option to work fully from home within the UK. Offices are located in London, Eastleigh, and Bournemouth.
Salary: Up to £52,800 per year.
Company
is one of the largest car and home insurers in the UK, serving more than four million customers.
What you will do
- Create robust actuarial models and interpret results to deliver innovative insurance pricing solutions.
- Prepare ad-hoc actuarial and statistical analyses to solve business problems with stakeholders across the company.
- Produce reports, documentation, and presentations explaining statistical models and results.
- Identify opportunities to improve existing methodologies and apply new analytical techniques.
- Support strategic change across Broker insurance products, including Private Car, Van, Bike, and Household.
Requirements
- A* or A grades in Mathematics and other numerate A-level subjects.
- A 2:1 degree or above in a numerate discipline such as Mathematics, Statistics, Engineering, or Physics.
- Excellent analytical, logical, lateral problem-solving, data manipulation, interpretation, and research skills.
- Ability to investigate results beyond obvious first-order effects and communicate complex concepts clearly.
- Ability to work from within the UK.
Nice to have
- PhD or research-based Master’s degree.
- Experience in actuarial pricing or statistical modelling, preferably in a regulated, multi-divisional industry.
- Experience with machine learning techniques such as GBMs, Elastic Net Regression, or Random Forests using Python or R.
- Awareness of industry-specific software such as Emblem.
- Experience partnering with teams to influence decisions, gain buy-in, and share knowledge.
Culture & Benefits
- Permanent employment with full-time, part-time, and job-share arrangements available.
- Flexible working around location and, for many roles, working hours.
- At least 35 days of holiday including bank holidays, with the option to buy or sell days.
- Health, dental, wellbeing, insurance, pension, savings, and annual bonus benefits.
- Parental leave, partner life assurance, critical illness cover, technology discounts, and travel-related schemes.
- Study support is provided for the route to actuarial qualification.
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