Portfolio Pricing Analyst
Role Overview
We have an exciting new role available for a Portfolio Pricing Analyst to join our team within our rapidly growing personal lines underwriting. It’s the perfect opportunity for someone looking to progress with a fast-growing company and make their mark on shaping our pricing models.
As a Pricing Analyst, you will use your advanced analytical skills to:
Key Responsibilities:
Role Overview
We have an exciting new role available for a Portfolio Pricing Analyst to join our team within our rapidly growing personal lines underwriting. It’s the perfect opportunity for someone looking to progress with a fast-growing company and make their mark on shaping our pricing models.
As a Pricing Analyst, you will use your advanced analytical skills to:
- Monitor our portfolio and deliver innovative pricing solutions,
- Use a blend of predictive analytics and commercial acumen to distil key trends and identify pricing actions,
- Contribute to the profitability of the products by meeting loss ratio targets and protecting capacity providers’ financial results by balancing product volume and profitability
Key Responsibilities:
- Support the design, development and implementation of a robust and innovative performance monitoring framework
- Contribute to the continuous pricing cycle including development and deployment of tactical pricing initiatives, price optimisation proposals and price change opportunity & impact analytics.
- Work closely with the Underwriting team on risk appetite, product development and innovation supporting progression by providing performance and market analytical insight.
- Work closely with the Technical Modelling team on peril risk cost models ensuring product performance dynamics are suitably captured and fed back in technical models.
- Contribute to delivery of the pricing roadmap in line with the vision and long-term goals of the company.
- Previous experience within a pricing function in insurance
- Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering
- Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL)
- A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science)
- Experience of WTW’s Radar and Emblem software is preferred but not essential
- Proficient at communicating results in a concise manner both verbally and written
- Self-motivated with a drive to learn and develop
- Logical thinker with a professional and positive attitude
- Passion to innovate, improve processes and challenge the norm
Vacancy posted 5 days ago
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