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Portfolio Pricing Analyst (Portfolio Management) - Motor
Location: The role is hybrid and requires you to be commutable to either Manchester or London.
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
The Pricing portfolio management team is responsible for developing new modelling techniques and processes and building and refreshing the risk models that underpin our rates, especially for aggregator channels.
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 analytics.
- Work closely with the Underwriting team on risk appetite, product development, and innovation, providing performance and market analytical insight.
- Collaborate with the Technical Modelling team on peril risk cost models to ensure product performance dynamics are incorporated into technical models.
- Contribute to delivering the pricing roadmap aligned with the company’s vision and long-term goals.
Key Skills and Experience:
- Previous experience within Personal Lines Pricing is advantageous
- Experience with predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering
- Proficiency 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 with WTW’s Radar and Emblem software is preferred
- Excellent communication skills, both verbal and written
Behaviours:
- Self-motivated with a drive to learn and develop
- Logical thinker with a professional and positive attitude
- Passionate about innovation, process improvement, and challenging norms
Additional Details:
- Seniority level: Entry level
- Employment type: Full-time
- Job function: Marketing and Sales
- Industries: Banking