Jobs at Hastings Direct

Develop and support analytical and data products that improve insurance pricing, underwriting, and operational efficiency. Build automation for data, analytics, and operational processes using Python and SQL, collaborate with pricing, modelling, engineering, and product teams, and help internal users adopt analytical tooling. The role requires strong problem-solving, communication, accountability, and the ability to manage multiple workstreams.

Develop and optimize pricing recasting capabilities for high-speed scoring, back testing, and large-scale impact analysis. Build and validate Python automation and data pipelines, pricing logic, and model features; troubleshoot discrepancies with pricing and analytics teams; monitor performance and stability; onboard users; and create documentation and tutorials.

Owns end-to-end digital experimentation and conversion optimisation, including roadmap management, hypothesis development, test briefing, stakeholder sign-off, measurement, analysis, and recommendations. Conducts competitor research and supports proposition and MVP delivery. Improves insight-driven ideation, prioritisation, UX execution, QA, reporting, and communications. Requires strong ecommerce optimisation experience, commercial analysis, user research, web analytics, UX, content, and hands-on A/B testing expertise.

Investigate and process motor insurance contractual breach and indemnity claims, including MIB and peril-specific losses. Assess evidence, apply insurance contract and regulatory principles, determine indemnity decisions, identify recovery opportunities, communicate outcomes, manage complex claims, and collaborate with business stakeholders. The role also uses predictive analytics to identify higher-risk claims and contributes to process improvements and optimal financial outcomes.

Leads a team of risk analysts within the telematics pricing function, identifying opportunities to expand or correct the insurance footprint. The role analyzes loss ratios and performance KPIs, develops underwriting risk controls, shapes portfolio growth strategies, and provides recommendations to stakeholders. It also involves coaching analysts, challenging processes, and ensuring fair customer outcomes while delivering profitable growth.

Lead a team of Risk Pricing Analysts to develop, improve and implement risk pricing models, integrate new data and analytical techniques, run pricing projects to meet profit and growth targets, mentor analysts, and ensure fair customer outcomes and regulatory training compliance.

Leads the end-to-end policy fraud portfolio, optimizing fraud controls, referral strategies, underwriting outcomes, and operational workflows. Analyzes fraud performance, loss ratios, risks, and large-loss cases to identify control weaknesses and emerging threats. Partners with underwriting, analytics, pricing, and operations teams to deliver automation, transformation, process improvements, and measurable commercial results. Influences senior stakeholders and ensures fraud intelligence translates into stronger controls, improved profitability, and reduced customer friction.

The Risk Pricing Manager will develop and optimize risk pricing strategies, focusing on multicar households to drive profitable growth and customer loyalty, while collaborating cross-functionally.

Build and maintain machine learning pipelines for market pricing, productionize Python models and data science workflows, and improve testing, release, monitoring, versioning, and governance. Investigate data, model, and pipeline issues; automate manual processes; and ensure workflows are traceable, auditable, documented, and reliable. Collaborate with pricing, data science, data engineering, ML engineering, governance, and business stakeholders in a regulated environment.

The Loans Pricing Manager develops and optimizes pricing strategies, drives efficiencies, collaborates on pricing factors, and provides insights for performance monitoring and compliance.

Lead the QA strategy and execution, focusing on automation and AI to improve quality in testing. Manage a QA team, ensuring effective communication and quality enhancement across products.

The Multi Analytics Pricing Manager oversees a team of analysts to enhance pricing strategies based on data insights, ensuring fair customer pricing and growth.

The Java Developer will design, code, and implement features for insurance policy and claims handling systems, ensuring compliance with regulatory changes. Responsibilities include testing, debugging, and collaborating with stakeholders while using a test-driven approach to software development.

Lead pricing implementation and BAU delivery for the rating engine: gather requirements, design and build pricing algorithms in Python/SQL, run testing and pre-release activities, provide data-driven insights, document pipelines, and mentor pricing engineers while driving process and team development.

Lead pricing-focused data science work: develop and deploy ML models for claims, fraud and risk KPIs; perform deep portfolio analysis using diverse datasets; own end-to-end delivery from concept to production; identify new data opportunities and mentor junior analysts.

Lead analysis and development of insurance pricing solutions using new and existing data. Own end-to-end delivery of pricing changes, monitor performance metrics, identify trends, extract value from datasets, and support the development of junior analysts.