SENIOR PRICING ANALYST (ADVANCED MODELLING) LONDON £40,000 - £50,000 Fantastic leadership role with a major loyalty agency offering the chance to innovate how analytics supports pricing decision making for a selection of international insurance giants. There will also be an opportunity for training in machine learning technology. THE COMPANY A multinational loyalty agency with a client base spanning airlines, retailers and travel companies, this company is known for delivering fantastic customer engagement programmes. Focused on using advanced analytics to become a market disruptor they have transformed their products and services and continue to innovate customer engagement. They are looking for a talented to shape how analytics can support customer engagement across their insurance and pricing client portfolio. Culture of collaboration and innovation Great career development opportunities THE ROLE Within this role, you will use your extensive analytical ability in SQL/R/Python to undertake indepth analytics into pricing analytics and optimisation. You will be working closely with clients to shape pricing strategy, support decision making and implement advanced analytics into their product base. Developing models across propensity and elasticity Developing understanding of the customer through analytics/insights Working cross functionally on cutting edge projects Liaising with senior stakeholders and business partners to deliver insight solutions As this is an agency no week will be the same, offering the chance to work on a fantastic range of projects across sectors and clients. YOUR SKILS AND EXPERIENCE The successful Senior Pricing Analyst will have: Extensive coding ability in SQL/R/Python The ability to undertake advanced analytics Exposure to one of the following industries - insurance, finance or actuary Fantastic stakeholder engagement skills An understanding of price modelling/setting A degree or higher in a numerical discipline such as mathematics or statistics BENEFITS A salary of up to £50,000 dependant on experience An extensive bonus and benefits package Flexible working Employee discounts Great career progression HOW TO APPLY Please register your interest by sending your CV to Sian Taylor via the apply link on this page