Head Of Pricing And Price To Market

Job description

Allianz Partners is seeking a globally-minded pricing leader to architect the future of RSA (Roadside Asisstance) pricing. This is a strategic, high-visibility role combining deep technical pricing expertise with innovation leadership to drive profitable growth across RSA Lines of Business worldwide. Working hand-in-hand with a dedicated RSA Data team that owns reporting and harmonized portfolio monitoring, your mandate is squarely focused on pricing intelligence: building state-of-the-art rating engines, advancing modelling techniques, connecting external data ecosystems, and setting the technical direction for how Allianz Partners prices RSA risk globally. What you will do PRICING STRATEGY & MARKET POSITIONING Define and own the global pricing strategy for all RSA products, translating portfolio intelligence and market dynamics into competitive, technically sound tariffs across all geographies. Conduct rigorous technical competitor analysis (benchmarking RSA rate levels, product structures, and pricing tools against market peers) to sharpen price-to-market positioning. Collaborate with Regional Underwriting & Portfolio Management teams to ensure pricing strategy is aligned with underwriting appetite, profitability targets, and commercial objectives. Support the planning process and RSA Smart Circle Meetings: contribute the pricing perspective to 360-degree quarterly reviews for top B-Partners, translating technical outputs into forward-looking commercial narratives. Drive profitable growth by identifying under- and over-priced segments, recommending corrective pricing actions, and monitoring their impact on portfolio KPIs. RATING ENGINE DEVELOPMENT & ADVANCED MODELLING Lead the end-to-end design and evolution of RSA rating engines using WTW Radar, Emblem, and comparable actuarial platforms, ensuring models are robust, scalable, and regulator-ready. Apply advanced statistical and machine-learning techniques (GLMs, GBMs, Random Forests, neural networks, and clustering methods) to frequency/severity modelling, risk segmentation, and rate relativities. Implement profit testing frameworks to validate tariff adequacy across the full P&L, including claims, expenses, reinsurance costs, and required margin. Ensure all rating models are version-controlled, documented, and peer-reviewed, maintaining a high standard of actuarial governance across global markets. EXTERNAL DATA, CONNECTED PLATFORMS & ECOSYSTEM INNOVATION Identify, evaluate, and integrate external data sources (telematics, geo-spatial and climate risk data, socio-demographic datasets, medical cost indices, and third-party claims benchmarks) to enrich RSA pricing models. Explore and assess AI-driven pricing ecosystems and next-generation actuarial platforms developing a prioritised technology roadmap for RSA pricing infrastructure. Collaborate with the RSA Data team to define data requirements and ensure pricing-relevant data pipelines are fit-for-purpose, timely, and of sufficient granularity for advanced modelling. Champion the use of open-source and cloud-native modelling tools (Python, R, cloud ML platforms) alongside vendor solutions, building a flexible and future-proof pricing tech stack. Evaluate connected insurance concepts (IoT, real-time risk scoring, and embedded pricing APIs) and assess their applicability within the RSA product and distribution landscape. TARIFF IMPLEMENTATION & PRICING GOVERNANCE Manage the full tariff lifecycle: data collection and harmonisation, actuarial modelling, final rate preparation, system testing, and sign-off, ensuring consistent implementation across all available pricing tools and markets. Define pricing governance standards, model validation protocols, and change management processes to ensure pricing decisions are transparent, reproducible, and commercially justified. Establish a global tariff review calendar aligned with portfolio performance cycles and market conditions, enabling proactive rather than reactive pricing management. Work with IT, Operations, and regional teams to ensure seamless deployment of updated rates into policy administration and quoting systems. TEAM LEADERSHIP & CAPABILITY BUILDING Lead, inspire, and grow a team of pricing professionals across global markets, setting clear objectives, providing structured feedback, and creating pathways for professional development. Build internal capability in advanced modelling techniques, external data utilisation, and pricing technology tools running knowledge-sharing sessions and supporting technical upskilling. Foster a high-performance pricing culture grounded in analytical rigour, intellectual curiosity, commercial awareness, and a drive for continuous innovation. Identify and develop talent within the team; support succession planning aligned with Allianz Partners' people strategy and the RSA pricing function's long-term growth. What you will bring EXPERIENCE & BACKGROUND 10+ years in pricing, actuarial, or underwriting roles with deep expertise in P&C or assistance/travel insurance pricing. Minimum 3 years leading a pricing function, with direct management of international teams of 5+ FTEs. Proven hands-on experience building and deploying rating engines using WTW Radar, Emblem, or comparable GLM/ML actuarial platforms. Demonstrated track record integrating external data sources and third-party platforms into pricing models in a production environment. Experience presenting pricing strategy and modelling outcomes to CRO, CFO, or Board-level stakeholders. Fluent in English (written and spoken); additional languages are an advantage given the global scope. TECHNICAL & MODELLING SKILLS Expert-level command of GLM-based rating engine development; proficiency in GBMs, Random Forests, and other ML techniques applied to insurance pricing. Hands-on with WTW Radar and/or Emblem for rate relativities, model fitting, and scenario testing. Strong programming skills in Python and/or R for pricing analytics, model automation, and data manipulation. Familiarity with cloud-based ML platforms (AWS SageMaker, Azure ML, Google Vertex AI) and their application to insurance pricing pipelines. Experience with external data integration: geo-spatial data (e.g., Verisk, CoreLogic), medical cost databases, telematics feeds, open weather/climate APIs, and socio-demographic enrichment layers. Knowledge of pricing optimisation and elasticity modelling techniques, including demand modelling and customer lifetime value frameworks. Solid grounding in actuarial concepts: profit testing, reserving, reinsurance structures, and P&L interpretation (GWP, NEP, loss ratio, CoR). EDUCATION Degree in Actuarial Science, Statistics, Mathematics, Data Science, Economics, or a related quantitative discipline. Actuarial qualification or progress toward one (FIA, FCAS, or equivalent) is a strong advantage. What we offer Our employees play an integral part in our success as a business. We appreciate that each of our employees are unique and have unique needs, ambitions and we enjoy being a part of their journey. We are there to empower and encourage you with your personal and professional development ensuring that you take control by offering a large variety of courses and targeted development programs. All that in a global environment where international mobility and career progression are encouraged. Caring for your health and wellbeing is key priority for us. This is why we build Work Well programs to providing you with peace of mind and give the flexibility in planning and arranging for a better work-life balance. At Allianz we use some AI-assisted technology as part of our recruitment process to help match candidates to roles based on skills, experience, job title, and location. AI supports our recruiters by enhancing the efficiency and accuracy of candidate assessments and job recommendations, while all applications are reviewed by our recruitment team and final hiring decisions are made by humans. 109205 | Product Manageme