In this role, you will be responsible for:

• Managing a small team, providing support for their daily activities, and fostering their development
• Collaborating with cross-functional teams to understand profit factors and stay abreast of market trends
• Monitoring industry shifts and analysing competitors' pricing strategy
• Generating diverse monitoring reports using appropriate tools and techniques, while utilising them for proactive oversight and informed decision-making to optimise pricing and enhance profitability
• Developing and implementing effective pricing strategies, presenting them to senior management
• Playing a significant role in enabling the team to achieve strategic objectives by offering pricing recommendations and insights based on lead modelling and analysis
• Engaging in collaborative efforts with various departments across the organisation to enhance data quality and leverage it for the improvement of pricing models
• Developing and maintaining the price optimiser, as well as all components that contribute to the calculation
• Ensuring compliance with financial regulations and standards
• Comfortably preparing and sharing timely updates/proposals in the weekly pricing committee and communicating the impact of price strategies
• Being creative in assisting the head of pricing in developing and shaping the direction of the pricing function
• Serving as a main point of contact for pricing with key stakeholders
• Bringing curiosity and data science innovation to the team
• Any additional duties and responsibilities that may reasonably be expected to be undertaken in accordance with the role.

This list of duties is not exhaustive, and it is not exclusive. Senior Management reserves the right to amend these duties from time to time.

The ideal candidate for this role should possess:

• A minimum of 5 years of pricing experience
• Preferred experience in retail pricing/optimisation within the General Insurance/Broker market
• Proficiency in using Earnix
• Commercially inclined with a growth mindset
• Strong communication, facilitation, presentation, and numerical skills
• Comfortable making decisions in situations with a level of uncertainty
• Ability to thrive in a fast-paced environment with a focus on delivery
• Capability to establish and maintain robust working relationships with various stakeholders
• A degree in mathematics, finance, economics, or a related field
• Experience utilising a diverse set of tools, including R, SAS, SQL, Python, Earnix