[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-gb\u002Fjobs-by-skill\u002Fwtw-emblem":3,"seo-content-skill-wtw-emblem-gb":90,"skill-page-filters-\u002Fde-gb\u002Fjobs-by-skill\u002Fwtw-emblem":119,"featured-jobs-\u002Fde-gb\u002Fjobs-by-skill\u002Fwtw-emblem":203},{"total":4,"jobs":5},3,[6,54,76],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":24,"processed_employment_types":26,"processed_it_skills":27,"processed_it_skills_labels":30,"processed_job_expertise_skills":39,"processed_job_expertise_skills_labels":40,"max_cpc":53,"actual_cpc":53},81960,"principal-pricing-optimisation-analyst-allianz-insurance-2","Principal Pricing Optimisation Analyst",null,false,{"name":13,"slug":14,"logo_url":15},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[17],"Birmingham",[19],"GB","hybrid",64000,"GBP","estimated",[25],"FULL_TIME","permanent",{"sql":28,"jira":29,"python":28,"pyspark":28,"ms office":4,"wtw radar":28,"databricks":28,"wtw emblem":28},4,2,[31,32,33,34,35,36,37,38],"Python","SQL","PySpark","Databricks","WTW Emblem","WTW Radar","MS Office","Jira",{"gbms":28,"glms":28,"data analysis":28,"data pipeline":28,"responsible ai":29,"machine learning":28,"insurance pricing":28,"price optimization":28,"predictive modeling":28,"customer lifetime value":28,"agile project management":29,"uk regulatory environment":28},[41,42,43,44,45,46,47,48,49,50,51,52],"Insurance Pricing","Predictive Modeling","Price Optimization","Data Pipeline","Data Analysis","GLMs","GBMs","Machine Learning","UK Regulatory Environment","Customer Lifetime Value","Agile Project Management","Responsible AI",1,{"id":55,"slug":56,"title":57,"raw_title":10,"is_featured":11,"company":58,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":59,"processed_country_iso_code_gmaps":60,"processed_home_office":20,"processed_salary_min":61,"processed_salary_max":62,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":63,"processed_employment_types":26,"processed_it_skills":64,"processed_it_skills_labels":65,"processed_job_expertise_skills":67,"processed_job_expertise_skills_labels":68,"max_cpc":53,"actual_cpc":53},71251,"lv-home-portfolio-pricing-manager-allianz-insurance","LV Home Portfolio Pricing Manager",{"name":13,"slug":14,"logo_url":15},[17],[19],60000,90000,[25],{"radar":4,"databricks":4,"wtw emblem":29,"machine learning":4},[66,34,48,35],"Radar",{"risk premium models":28,"pricing optimisation":4,"responsible ai usage":29,"underwriting strategy":28,"personal lines insurance":28,"financial target delivery":28,"pricing portfolio management":28},[69,70,71,72,73,74,75],"Pricing Portfolio Management","Risk Premium Models","Personal Lines Insurance","Underwriting Strategy","Pricing Optimisation","Responsible AI Usage","Financial Target Delivery",{"id":77,"slug":78,"title":9,"raw_title":10,"is_featured":11,"company":79,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":80,"processed_country_iso_code_gmaps":82,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":83,"processed_employment_types":26,"processed_it_skills":84,"processed_it_skills_labels":85,"processed_job_expertise_skills":87,"processed_job_expertise_skills_labels":88,"max_cpc":53,"actual_cpc":53},71122,"principal-pricing-optimisation-analyst-allianz-insurance",{"name":13,"slug":14,"logo_url":15},[81],"London",[19],[25],{"sql":28,"jira":29,"excel":28,"python":28,"pyspark":4,"ms office":4,"wtw radar":28,"databricks":4,"wtw emblem":4},[31,32,33,34,86,37,38,35,36],"Excel",{"gbms":28,"glms":28,"data analysis":28,"data pipeline":28,"responsible ai":29,"machine learning":28,"model deployment":4,"insurance pricing":28,"price optimization":28,"predictive modeling":28,"customer lifetime value":4,"agile project management":29,"uk regulatory environment":4},[41,42,43,48,46,47,44,45,89,49,50,51,52],"Model Deployment",{"image_path":91,"content_de":92,"content_en":105,"composite_key":118,"last_updated":10},"\u002Fimages\u002Fskill\u002Fwtw-emblem.webp",{"tab1":93,"tab2":96,"tab3":99,"tab4":102},{"title":94,"content":95},"Bedeutung & Relevanz","WTW Emblem, als Teil der WTW Radar Suite, spielt eine entscheidende Rolle im Versicherungssektor des [Vereinigtes Königreich](\u002Fsearch), insbesondere für Unternehmen wie [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance). Diese Technologie ermöglicht präzise Risikobewertungen, datengesteuerte Entscheidungsfindung und effiziente [Prozessverbesserung](\u002Fjobs-by-expertise\u002Fprocess-improvement). In einem wettbewerbsintensiven Markt wie dem [Vereinigtes Königreich](\u002Fsearch) hilft WTW Emblem Versicherern, komplexe Daten zu analysieren, um [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management) zu optimieren und betriebliche Abläufe zu straffen. Die Integration mit Tools wie [Python](\u002Fjobs-by-skill\u002Fpython) und [SQL](\u002Fjobs-by-skill\u002Fsql) unterstützt bei der Entwicklung von Preismodellen und der Verwaltung großer Datenquellen, was die Wettbewerbsfähigkeit in Städten wie [London](\u002Fjobs-in-london) und [Birmingham](\u002Fjobs-in-birmingham) stärkt. Durch die Nutzung von WTW Emblem können Unternehmen schneller auf Marktveränderungen reagieren, was in der dynamischen [Versicherungsbranche](\u002Fjobs-by-industry\u002Finsurance) des [Vereinigtes Königreich](\u002Fsearch) unerlässlich ist, um Kundenbedürfnisse zu erfüllen und regulatorische Anforderungen zu erfüllen.",{"title":97,"content":98},"Top-Branchen & Standorte","Im [Vereinigtes Königreich](\u002Fsearch) ist WTW Emblem besonders in der [Versicherungsbranche](\u002Fjobs-by-industry\u002Finsurance) gefragt, wo es zur Optimierung von [Underwriting](\u002Fjobs-by-expertise\u002Funderwriting) und [Schadensmanagement](\u002Fjobs-by-expertise\u002Fclaims-management) eingesetzt wird. Top-Standorte mit hohem Bedarf sind [London](\u002Fjobs-in-london), ein globales Finanzzentrum, und [Birmingham](\u002Fjobs-in-birmingham), das für seine wachsende Versicherungsinfrastruktur bekannt ist. In [London](\u002Fjobs-in-london) nutzen Unternehmen WTW Emblem für [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis) und [Risikobewertung](\u002Fjobs-by-expertise\u002Frisk-assessment), um in wettbewerbsintensiven Märkten zu bestehen. In [Birmingham](\u002Fjobs-in-birmingham) unterstützt die Technologie lokale Versicherer bei der [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis) und [Preisanpassungsanalyse](\u002Fjobs-by-expertise\u002Fprice-adjustment-analysis). Zusätzlich zu diesen Standorten ist WTW Emblem in verwandten Branchen wie [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) relevant, wo es hilft, [Portfoliomanagement](\u002Fjobs-by-expertise\u002Fportfolio-management) und [Finanzmodellierung](\u002Fjobs-by-expertise\u002Ffinancial-modeling) zu verbessern, was die wirtschaftliche Widerstandsfähigkeit im [Vereinigtes Königreich](\u002Fsearch) fördert.",{"title":100,"content":101},"Gefragte Skills & Arbeitgeber","Unternehmen im [Vereinigtes Königreich](\u002Fsearch), die WTW Emblem nutzen, wie [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance), suchen nach Fachkräften mit Expertise in [Backtesting](\u002Fjobs-by-expertise\u002Fback-testing), [Underwriting](\u002Fjobs-by-expertise\u002Funderwriting) und [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis). Weitere gefragte Bereiche umfassen [Risikoengineering](\u002Fjobs-by-expertise\u002Frisk-engineering), [Schadensmanagement](\u002Fjobs-by-expertise\u002Fclaims-management) und [technische Preisgestaltung](\u002Fjobs-by-expertise\u002Ftechnical-pricing). Für die Entwicklung von Preismodellen sind Kenntnisse in [Maschinelles Lernen (GBMs)](\u002Fjobs-by-expertise\u002Fmachine-learning) und [statistische Modellierung (GLMs)](\u002Fjobs-by-expertise\u002Fstatistical-modelling) essenziell. Arbeitgeber wie [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) integrieren WTW Emblem mit IT-Skills wie [SAS](\u002Fjobs-by-skill\u002Fsas), [SQL](\u002Fjobs-by-skill\u002Fsql) und [Python](\u002Fjobs-by-skill\u002Fpython), um [Finanzmärkte](\u002Fjobs-by-expertise\u002Ffinancial-markets) zu analysieren und [Geschäftsausgabenanalyse](\u002Fjobs-by-expertise\u002Fbusiness-expense-analysis) durchzuführen. Die Kombination aus diesen Expertisen und WTW Emblem ermöglicht es Unternehmen, innovative Lösungen für [Prozessverbesserung](\u002Fjobs-by-expertise\u002Fprocess-improvement) und [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management) im [Vereinigtes Königreich](\u002Fsearch) zu entwickeln, was zu nachhaltigem Wachstum beiträgt.",{"title":103,"content":104},"Karriere & Entwicklung","Karrierewege mit WTW Emblem im [Vereinigtes Königreich](\u002Fsearch) umfassen Rollen wie Datenanalyst, Risikomanager oder Underwriter, die sich auf [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis) und [Risikoengineering](\u002Fjobs-by-expertise\u002Frisk-engineering) spezialisieren. Um die Fähigkeit zu erlernen, empfehlen sich Schulungen in [Python](\u002Fjobs-by-skill\u002Fpython), [SQL](\u002Fjobs-by-skill\u002Fsql) und [Advanced Excel](\u002Fjobs-by-skill\u002Fms-excel), ergänzt durch Kenntnisse in [Maschinelles Lernen](\u002Fjobs-by-expertise\u002Fmachine-learning) und [statistische Modellierung](\u002Fjobs-by-expertise\u002Fstatistical-modelling). Praktische Erfahrung mit Tools wie [Databricks](\u002Fjobs-by-skill\u002Fdatabricks) und [WTW Radar](\u002Fjobs-by-skill\u002Fwtw-radar) ist vorteilhaft, um [Preismodellentwicklung](\u002Fjobs-by-expertise\u002Fpricing-model-development) und [Backtesting](\u002Fjobs-by-expertise\u002Fback-testing) zu meistern. Fortbildungen in [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis) und [Aktuarielle Annahmen](\u002Fjobs-by-expertise\u002Factuarial-assumptions) helfen, WTW Emblem für [Inflationsannahmen](\u002Fjobs-by-expertise\u002Finflation-assumptions) und [Große Datenquellenverwaltung](\u002Fjobs-by-expertise\u002Flarge-data-source-management) einzusetzen. Durch kontinuierliches Lernen und Anwendung in Projekten können Fachkräfte im [Vereinigtes Königreich](\u002Fsearch) ihre Karriere in der [Versicherungsbranche](\u002Fjobs-by-industry\u002Finsurance) vorantreiben und zu Innovationen in [Verkauf](\u002Fjobs-by-expertise\u002Fsales) und [Marktanalyse](\u002Fjobs-by-expertise\u002Fmarket-analysis) beitragen.",{"tab1":106,"tab2":109,"tab3":112,"tab4":115},{"title":107,"content":108},"Strategic Importance","WTW Emblem holds significant strategic importance in the [Vereinigtes Königreich](\u002Fsearch) insurance sector, serving as a critical tool for data analysis and risk assessment in an increasingly complex regulatory environment. This specialized software enables insurance professionals to conduct sophisticated back testing, develop accurate pricing models, and manage large data sources effectively. In the [Vereinigtes Königreich](\u002Fsearch)'s competitive insurance landscape, companies rely on WTW Emblem for technical pricing and actuarial assumptions that drive informed decision-making. The platform's capabilities in handling inflation assumptions and business expense analysis make it indispensable for maintaining profitability while ensuring regulatory compliance. As the insurance industry faces evolving challenges from climate risk to digital transformation, WTW Emblem provides the analytical foundation necessary for sustainable growth and risk management excellence across the [Vereinigtes Königreich](\u002Fsearch).",{"title":110,"content":111},"Top Industries & Locations","WTW Emblem expertise is primarily concentrated within the insurance industry across key financial hubs in the [Vereinigtes Königreich](\u002Fsearch). [London](\u002Fjobs-in-london) stands as the dominant center for WTW Emblem professionals, hosting major insurance corporations and consulting firms that leverage this specialized software for complex risk modeling and pricing strategies. [Birmingham](\u002Fjobs-in-birmingham) has emerged as a significant secondary hub, particularly for regional insurance operations and growing fintech companies integrating insurance analytics into their service offerings. The insurance sector remains the primary employer of WTW Emblem specialists, with particular demand in property and casualty insurance, life insurance, and reinsurance companies operating throughout the [Vereinigtes Königreich](\u002Fsearch). These organizations rely on WTW Emblem for sophisticated data analysis and statistical modeling capabilities that drive competitive advantage in the market.",{"title":113,"content":114},"In-Demand Skills & Employers","Leading insurance organizations in the [Vereinigtes Königreich](\u002Fsearch), including [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance), actively seek professionals with WTW Emblem expertise combined with complementary technical and analytical capabilities. The most sought-after related expertise includes back testing methodologies, advanced underwriting techniques, comprehensive data analysis, specialized risk engineering, efficient claims management, technical pricing strategies, and sophisticated pricing model development. Professionals are expected to demonstrate proficiency in actuarial assumptions development, inflation assumptions modeling, and machine learning applications using gradient boosting machines (GBMs). Additional valuable expertise includes business expense analysis, price adjustment analysis, large data source management, and statistical modeling using generalized linear models (GLMs). These skills collectively enable insurance companies to maintain competitive pricing, accurate risk assessment, and regulatory compliance across the [Vereinigtes Königreich](\u002Fsearch) market.",{"title":116,"content":117},"Career & Development","Career progression for WTW Emblem specialists in the [Vereinigtes Königreich](\u002Fsearch) typically follows actuarial, pricing, or risk management tracks within insurance organizations. Entry-level positions often focus on data analysis and basic modeling, progressing to senior roles involving pricing model development and technical pricing leadership. Professionals can enhance their WTW Emblem expertise by developing complementary IT skills including [SAS](\u002Fjobs-by-skill\u002Fsas), [SQL](\u002Fjobs-by-skill\u002Fsql), [Python](\u002Fjobs-by-skill\u002Fpython), and advanced Excel capabilities. Mastery of platforms like [Databricks](\u002Fjobs-by-skill\u002Fdatabricks) and WTW Radar further strengthens career prospects. Continuous learning in statistical modelling (GLMs), machine learning (GBMs), and risk assessment methodologies is essential for advancement. Many professionals pursue actuarial qualifications while gaining practical experience in underwriting, claims management, and business expense analysis. The combination of WTW Emblem proficiency with these related expertise areas creates diverse career opportunities across the [Vereinigtes Königreich](\u002Fsearch)'s insurance sector, from technical specialist roles to strategic leadership positions.","skill:wtw-emblem:gb",{"industry":120,"employment_type":124,"expertise_skills":127,"it_skills":173,"salary_currency":199,"processed_working_hours":201},[121],{"key":122,"label":123,"count":4},"insurance","Insurance",[125],{"key":26,"label":126,"count":4},"PERMANENT",[128,130,132,134,136,138,140,142,145,148,151,154,156,159,161,163,165,167,169,171],{"key":129,"label":41,"slug":129,"count":29},"insurance-pricing",{"key":131,"label":45,"slug":131,"count":29},"data-analysis",{"key":133,"label":48,"slug":133,"count":29},"machine-learning",{"key":135,"label":44,"slug":135,"count":29},"data-pipeline",{"key":137,"label":42,"slug":137,"count":29},"predictive-modeling",{"key":139,"label":51,"slug":139,"count":29},"agile-project-management",{"key":141,"label":50,"slug":141,"count":29},"customer-lifetime-value",{"key":143,"label":144,"slug":143,"count":29},"glms","Glms",{"key":146,"label":147,"slug":146,"count":29},"gbms","Gbms",{"key":149,"label":150,"slug":149,"count":29},"uk-regulatory-environment","Uk Regulatory Environment",{"key":152,"label":153,"slug":152,"count":29},"responsible-ai","Responsible Ai",{"key":155,"label":43,"slug":155,"count":29},"price-optimization",{"key":157,"label":158,"slug":157,"count":53},"responsible-ai-usage","Responsible Ai Usage",{"key":160,"label":75,"slug":160,"count":53},"financial-target-delivery",{"key":162,"label":89,"slug":162,"count":53},"model-deployment",{"key":164,"label":69,"slug":164,"count":53},"pricing-portfolio-management",{"key":166,"label":70,"slug":166,"count":53},"risk-premium-models",{"key":168,"label":73,"slug":168,"count":53},"pricing-optimisation",{"key":170,"label":72,"slug":170,"count":53},"underwriting-strategy",{"key":172,"label":71,"slug":172,"count":53},"personal-lines-insurance",[174,177,179,182,184,186,189,191,193,194,197],{"key":175,"label":176,"slug":175,"count":4},"wtw-emblem","Wtw Emblem",{"key":178,"label":34,"slug":178,"count":4},"databricks",{"key":180,"label":181,"slug":180,"count":29},"wtw-radar","Wtw Radar",{"key":183,"label":37,"slug":183,"count":29},"ms-office",{"key":185,"label":31,"slug":185,"count":29},"python",{"key":187,"label":188,"slug":187,"count":29},"pyspark","Pyspark",{"key":190,"label":32,"slug":190,"count":29},"sql",{"key":192,"label":38,"slug":192,"count":29},"jira",{"key":133,"label":48,"slug":133,"count":53},{"key":195,"label":196,"slug":195,"count":53},"ms-excel","MS Excel",{"key":198,"label":66,"slug":198,"count":53},"radar",[200],{"key":22,"label":22,"count":4},[202],{"key":25,"label":25,"count":4},{"total":204,"jobs":205},0,[]]