At a Glance
- Tasks: Support pricing assessments and develop technical models for Marine & Energy lines.
- Company: Leading firm in the London General Insurance market.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Other info: Great opportunity for career growth in a vibrant city.
- Why this job: Join a team where your analytical skills can shape pricing strategies.
- Qualifications: Nearly or newly qualified Actuary with strong maths and programming skills.
The predicted salary is between 45000 - 55000 Β£ per year.
To provide actuarial pricing support for Marine & Energy lines of business.
Location: London
Category: Non-life Actuarial
Type: Permanent
Key Duties (Including but not limited to):
- Support the pricing team and underwriters to assess pricing adequacy on individual accounts, facilities and portfolios across both open market and delegated business.
- Develop, maintain and enhance technical pricing models for each line of business.
- Performance monitoring of key accounts throughout the year including validation of key pricing inputs that feed into account pricing.
Requirements:
- Nearly qualified or newly qualified Actuary (IFoA or equivalent).
- Grade A at A-Level Mathematics.
- Experience of working within an Actuarial Pricing Team in the London General Insurance market.
- Experience using Excel, Python, SQL and Power BI.
PRICING ANALYST β 29839 employer: The Emerald
As a leading player in the London General Insurance market, our company offers an exceptional work environment for Pricing Analysts, fostering a culture of collaboration and innovation. Employees benefit from comprehensive professional development opportunities, competitive remuneration, and a supportive team that values your contributions to the Marine & Energy lines of business. Join us to enhance your skills in a dynamic setting while making a meaningful impact on pricing strategies.
We think you need these skills to ace PRICING ANALYST β 29839
Actuarial Pricing
Technical Pricing Models
Performance Monitoring
Excel
Python
SQL
Power BI