Jobs at Aviva plc

Lead the development, monitoring, and enhancement of personal insurance pricing and ratemaking models. Analyze portfolio performance, market trends, and competitive dynamics to recommend pricing actions. Support regulatory rate filings, manage pricing projects, collaborate with cross-functional partners, and mentor actuarial analysts. Apply traditional actuarial and advanced analytical techniques to improve profitability, growth, customer retention, and pricing effectiveness.

Leads corporate actuarial activities supporting Solvency UK capital requirements, internal model governance, risk calibrations, and Chief Actuary opinions. Reviews methods, assumptions, data quality, model weaknesses, and validation documentation. Collaborates with economic capital, pricing, reserving, reinsurance, risk, finance, and global actuarial teams. Requires property and casualty or financial services actuarial experience, 3–5 CAS exams, regulatory knowledge, strong analytical skills, and effective stakeholder communication.

Perform daily investment data controls, reconciliations, data-quality reviews, and audit support using Clearwater and Excel. Collaborate with internal and external stakeholders, database providers, and auditors while supporting finance and data projects. The role requires strong analytical skills, attention to detail, investment interest, and availability three to four days per week during a six-month paid internship.

Analyzes and implements insurance pricing changes, maintains customer behavioral models, evaluates risk mix and actual-versus-technical pricing, and makes pricing recommendations. The role owns regular price-setting processes, supports key business decisions, reviews and simplifies pricing models, and develops automation tools. It requires quantitative education, pricing experience, database programming skills, strong analytical ability, and familiarity with commercial pricing software.

Leads enterprise data design and governance across insurance domains, defining conceptual, logical, and physical models, data standards, contracts, metadata, lineage, and privacy controls. Partners with business, architecture, engineering, analytics, and AI teams to deliver scalable data solutions across warehouses, lakes, APIs, and operational platforms. Applies Property and Casualty insurance expertise and ACORD standards while guiding migration, modernization, AI-ready data, model lifecycle management, observability, and cross-domain governance.

Owns and enhances financial crime controls across multiple jurisdictions within an asset management environment. Responsibilities include overseeing AML, KYC, customer due diligence, sanctions screening, and third-party providers; applying risk-based decision-making; reviewing complex corporate structures; advising stakeholders; providing challenge and oversight; and driving compliant operational improvements, particularly for private markets.

Administer and configure Salesforce for commercial insurance business lines, including objects, workflows, security, automation, reporting, and dashboards. Support users, releases, testing, deployments, data quality, migrations, integrations, and governance. Partner with stakeholders and technical teams to improve business processes, automate workflows, enhance user experience, and deliver reliable operational insights.

Oversee and strengthen Aviva Investors’ first-line risk and controls framework. Produce management information, analyze control data, support risk identification and remediation, provide governance oversight, improve control effectiveness and data quality, contribute to senior governance forums, and collaborate with stakeholders across Operations, Transformation, and IT in a regulated asset-management environment.

Develop and deploy machine learning and statistical models for commercial property and casualty insurance pricing. Responsibilities include transforming large datasets into insights, building claims and pricing models, managing the full model lifecycle, monitoring performance, improving reproducibility, maintaining data-mining tools, and communicating recommendations to business and technology partners.

Develop and monitor advanced actuarial pricing models for commercial property and casualty insurance. Analyze loss costs, customer demand, portfolio shifts, and emerging segment behavior, then communicate recommendations to business stakeholders. Collaborate with data scientists, underwriters, and actuaries while supporting model validation, innovation, continuous improvement, and mentoring. The role requires Python proficiency and familiarity with SAS and VBA.

Leads intake and evaluation of new group insurance business within Personal Insurance. Coordinates internal teams and external distribution partners, reports application results, manages stakeholder relationships, supports process, policy, risk, and control improvements, represents the group segment in committees and projects, and coordinates technology changes. Requires 5+ years of P&C underwriting experience, insurance value-chain knowledge, business analytics, communication, collaboration, and project management skills.

Gère des demandes d’indemnisation en habitation et commerciales, analyse les estimations, négocie les règlements et soutient les experts internes et indépendants. Traite les plaintes, surveille la conformité réglementaire, détecte les fraudes et possibilités de subrogation, collabore avec enquêteurs, avocats et experts, et assure une communication efficace avec les clients.

Design, build, and optimize scalable ETL/ELT data pipelines and analytical datasets using Snowflake and Qlik. Own end-to-end delivery from requirements to support, implement data modeling and performance/cost optimizations, automate ingestion and transformations, monitor and troubleshoot pipelines and reports, and collaborate with claims, analytics, and actuarial teams to translate business needs into robust data solutions while supporting migration and modernization efforts.

Develop and deploy machine learning and statistical models for Commercial Auto Pricing, claims prediction, customer optimization, and automation. Responsibilities include transforming large datasets into insights, partnering with Pricing, managing the full model lifecycle, monitoring model performance, maintaining data science tools, improving reproducibility, and communicating recommendations to technical and non-technical stakeholders.

Leads international actuarial modelling squads delivering valuation, capital, and reporting model changes. Sets modelling standards, controls, documentation, testing, and governance; owns initiative roadmaps and backlogs; translates business objectives into deliverables; partners with Finance, Change, Technology, and other stakeholders; and coaches geographically distributed teams. The role requires deep actuarial modelling expertise, leadership across regions and suppliers, strong communication, prioritization, and familiarity with modern model-engineering practices.

Underwrite and manage a portfolio of commercial property and casualty program business. Build and grow broker relationships, assess complex risks, set pricing, monitor portfolio performance, partner with Risk Engineering and Claims, analyze large losses, ensure compliance, mentor junior underwriters, and collaborate across finance and risk functions to drive profitable growth.

Manage full-cycle recruitment for a growing automotive collision repair facility, including intake meetings, sourcing, screening, interviewing, reference checks, offers, background checks, and onboarding. Build candidate pipelines, support hiring managers with assessments and recruitment data, maintain positive candidate experiences, and develop relationships with colleges, industry associations, and community partners. The role requires recruiting across multiple locations and managing high-volume hiring priorities.

Design, build, and operate production AI agents and applied AI systems. Responsibilities include architecture, context engineering, orchestration, memory, evaluation, monitoring, reliability, risk management, and multimodal interfaces. The role requires strong Python engineering, production LLM experience, collaboration with technical and business stakeholders, and guidance of less experienced engineers. Preferred experience includes AWS, MCP, evaluation frameworks, fine-tuning, voice AI, and regulated industries.

Leads Aviva Canada's national personal auto underwriting portfolio, setting underwriting, product, risk, regulatory, and modernization strategies. Oversees analytics- and AI-supported underwriting, regulatory filings, compliance, portfolio monitoring, product reviews, and profitable growth. Partners with Pricing, IT, Distribution, Operations, Digital, Claims, Risk, Legal, and Government Relations teams to improve automation, efficiency, customer experience, and broker service. Requires senior insurance underwriting leadership, regulatory expertise across Canada, strong analytical judgment, and stakeholder influence.

Manages complex automobile, home, and commercial insurance claims from assessment through settlement. Evaluates damages, negotiates resolutions, ensures policy and regulatory compliance, collaborates with experts and attorneys, and communicates empathetically with French- and English-speaking customers and partners. The role also supports governance initiatives, reporting, process improvements, and multiple priorities in a dynamic environment.