Household (HH) Pricing Manager

Barclay Meade
Highbridge
6 months ago
Applications closed

Related Jobs

View all jobs

Mobile Developer (Android & iOS)

Senior Data Delivery Project Manager - Insurance/Financial Services

Mobile Developer

Roadside Vehicle Technician

Senior Content Designer

Civil Engineer - Onshore Wind

Job Title: Household (HH) Pricing Manager (Full-Time, Part-Time, Job-Share, Flexible Options Available) Contract Type: Permanent Salary Range: Circa £80k DOE Location: Eastleigh - Hybrid Working Work Level: 4 Household (HH) Pricing Manager We are seeking a highly skilled Household (HH) Pricing Manager to oversee pricing strategies and risk assessment processes for our Household products. This pivotal role involves optimising profitability, managing risk, and ensuring alignment of pricing strategies with business objectives. You will collaborate closely with underwriters, actuaries, and data scientists to develop and implement pricing models, analyse market trends, and drive data-driven decision-making. Key Responsibilities: Lead, develop, and coach a team of Lead, Senior, and Pricing Analysts (circa team of 4). Manage trading positions to meet targets. Approve predictive and machine learning models, ensuring adherence to best practices. Oversee data enhancement and governance for accurate modelling and monitoring. Develop, maintain, and deploy pricing models. Compile and present results to the pricing committee, offering data-driven recommendations. Manage rate releases and review rates in the live environment. Create a comprehensive view of pricing performance, integrating MI, modelling results, and company targets. Prepare budgets and forecasts for pricing projects. Coordinate pricing decisions across teams and stakeholders. Project manage the entire price control cycle. Provide insights to senior management and heads of department. Represent Senior Managers and the Head of Pricing in meetings, as required. Stay updated on external market developments and integrate insights into pricing strategies for better customer outcomes. What We're Looking For: Extensive experience in insurance pricing or a related analytical background. Strong skills in programming languages (e.g., SAS) for data manipulation. Experience with predictive modelling techniques (e.g., Logistic Regression, GLMs, GBMs). Proficiency in programming languages such as R, Python, or SQL. Experience with tools like Emblem, Radar, and Data-bricks. Proven ability to coach junior staff and develop pricing skills within the team. Self-motivated with a strong initiative and energy to drive results. Benefits: Flexible Working: Options for full-time, part-time, job-share, and flexible hours. Minimum of 35 days holiday (including bank holidays) with the ability to buy and sell days. Health Support: Includes dental insurance, health cash plans, mental health first aiders, yoga, and mindfulness sessions. Wealth Support: Annual bonus schemes, competitive pension, employee savings, and loans. Work-Life Balance: Return-to-work programs, sports and social events, life assurance for partners, and more. Tech Discounts: Deals on wearables, tablets, laptops, and other gadgets. About Us: We are a leading organisation in the UK's insurance sector, serving millions of customers. Our commitment to diversity and inclusion is reflected in our various employment charters and initiatives. We strive to create a dynamic and innovative workplace where everyone thrives. Interested? Join our winning team and make an impact where people come first Click Apply Now to start your journey with us

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.