Portfolio Pricing Analyst

Description:

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:

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 profitabilityThe Pricing portfolio management team is responsible for developing new modelling techniques and processes and building and refreshing the risk models that underpin our rates that need to operate effectively in the 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 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.Key Skills and Experience:

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 
Behaviours:

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

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