Hastings Direct

Analyst

• Help create a leading suite of analytical and data products for pricing, data, and analytics teams
• Maximise the efficiency and quality of underwriting pricing
• Develop and support tooling adopted across the wider business
• Push new research to deliver direct commercial value
• Support other product teams to improve their products
• Automate processes and pipelines for data, analytics, and operations
• Work at the intersection of pricing, modelling, engineering, and related disciplines
• Collaborate with internal customers and cross-functional teams across multiple workstreams

Pricing Automation Analyst

• Help create the leading suite of analytical and data products for pricing, data, and analytics teams
• Maximise the efficiency and quality of underwriting pricing
• Support and improve tooling adopted across the wider business
• Conduct new research to deliver direct commercial value
• Support other product teams in improving their products
• Automate processes and pipelines for data, analytics, and operations
• Work at the intersection of pricing, modelling, engineering, and related disciplines
• Collaborate with internal customers and teams across multiple workstreams

Full-stack Engineer

• Work across all aspects of the software development lifecycle
• Provide leadership, support, and deliver high-quality end-to-end solutions across Hastings’ systems and platforms
• Operate within agile teams across application support and change functions
• Shape technical direction and support others in delivering high-quality solutions
• Join up services, data, and interfaces across complete solutions for customers and colleagues
• Use AI to enhance software engineering practices, improve efficiency, and raise quality standards
• Design, integrate, and support AI-enabled components in end-to-end deliveries
• Ensure critical thinking is applied to validate AI-generated outputs
• Provide technical leadership and make informed decisions
• Manage stakeholder expectations
• Design, build, modify, and support complex software systems
• Deliver end-to-end solutions across multiple services, platforms, and integrations
• Estimate engineering tasks, guide peers, and mentor team members
• Debug, test, and optimise complex code for performance, quality, and reliability
• Use AI tools for software development, testing, maintenance, and documentation
• Create effective prompts and support responsible adoption of AI technologies
• Contribute to AI-enabled solutions while ensuring security, privacy, governance, and cost compliance
• Evaluate emerging tools, technologies, and ways of working to drive continuous improvement

Senior Engineer

QA Automation Engineer

• Support pricing, trading, and automation outcomes at the intersection of data, technology, and commercial decision-making
• Develop and optimise recasting capability for high-speed scoring, back testing, and large-scale impact analysis
• Build, test, and refine automation pipelines
• Validate outputs and resolve discrepancies with pricing, modelling, and analytics teams
• Develop and operationalise data pipelines, pricing logic, and model features using Python
• Liaise with customers to onboard new users and debug problems
• Monitor performance and automation stability across multiple workstreams
• Identify opportunities to improve speed, scalability, and commercial impact
• Produce documentation and tutorials for recasting-tool users

Pricing Automation Engineer

• Support pricing, trading and automation outcomes at the intersection of data, technology and commercial decision-making
• Develop and optimise recasting capability for high-speed scoring, back testing and large-scale impact analysis
• Build, test and refine automation pipelines
• Validate outputs and resolve discrepancies with pricing, modelling and analytics teams
• Develop and operationalise data pipelines, pricing logic and model features using Python
• Liaise with customers to onboard new users and debug problems for existing users
• Monitor performance and automation stability across multiple workstreams
• Identify opportunities to improve speed, scalability and commercial impact
• Produce documentation and tutorials for recasting-tool users

• Work across all aspects of the software development lifecycle
• Provide leadership, support, and high-quality end-to-end solutions across Hastings' systems and platforms
• Operate within agile teams across application support and change functions
• Shape technical direction and support others in delivering high-quality solutions
• Join up services, data, and interfaces across complete solutions
• Use AI to improve software engineering efficiency and quality standards
• Design, integrate, and support AI-enabled components in end-to-end deliveries
• Apply critical thinking to validate AI-generated outputs
• Support the build and testing of AI-enabled solutions
• Drive responsible and effective adoption of AI in delivery
• Provide technical leadership and manage stakeholder expectations
• Design, build, modify, and support complex software systems
• Deliver solutions across multiple services, platforms, and integrations
• Estimate engineering tasks, guide peers, and mentor team members
• Debug, test, and optimise complex code for performance, quality, and reliability
• Use AI tools for software development, testing, maintenance, and documentation
• Create effective prompts and critically evaluate AI-generated outputs
• Ensure AI-enabled solutions meet security, privacy, governance, and cost requirements
• Evaluate emerging tools, technologies, and ways of working to drive continuous improvement

Team Leader

• Lead a team of Home Claims handlers
• Maintain overall claims-handling quality within Hastings Direct and through outsourced partners
• Support the goal of becoming a market-leading home claims handling function
• Set and manage annual and monthly objectives
• Provide coaching and development plans to support progression
• Ensure annual PDRs are conducted
• Authorise payments in line with departmental SLAs
• Conduct regular monthly audits on colleagues
• Oversee guidance and advice relating to technical referrals
• Engage and motivate the team
• Deliver effective meetings when required
• Support claims-handling quality internally and with outsourced partners

Home Claims Team Leader

Conversion Rate Optimizer

• Assist the Optimisation team in Digital New Business & Renewals with strategy and KPI delivery
• Own end-to-end experimentation delivery
• Prioritise experiments and manage the Optimisation Roadmap
• Gather requirements and manage test briefing and sign-off with key stakeholders
• Measure experiment results and recommend next steps
• Maintain the Optimisation Roadmap and track activities, hypotheses and outcomes
• Apply experimentation outcomes across the organisation
• Conduct regular competitor analysis and provide insights
• Monitor industry best practices
• Drive continuous improvement across insight-led ideation, business prioritisation, customer-centric UX execution, build and QA processes, reporting, analysis and communications
• Support the development and delivery of new propositions and MVPs to customers

Conversion Rate Optimisation Executive – 12 Month FTC

• Analyse intervention performance across customer, behavioural, operational and commercial outcomes
• Use SQL to extract, transform and interrogate datasets supporting intervention decision-making
• Build analytical views, dashboards or outputs to monitor intervention activity and effectiveness
• Apply scenario analysis, optimisation or trade-off techniques to support prioritisation and decision-making
• Evaluate alternative intervention strategies against agreed success measures and constraints
• Support experimentation, measurement frameworks and post-implementation reviews
• Identify data quality issues, unexpected trends and opportunities to improve intervention processes
• Translate analytical findings into practical recommendations for business stakeholders
• Document assumptions, limitations and methods so outputs are transparent and repeatable

Intervention Analyst

Manager

• Lead a team of risk analysts to deliver profit and growth targets through adjustments to the Telematics footprint
• Identify and lead opportunities to expand the competitive footprint or rectify unprofitable segments
• Develop and deliver innovative approaches to manage and control underwriting risk associated with new footprint segments
• Analyse risk using loss ratios and supporting KPIs
• Turn performance insights into clear recommendations shaping portfolio decisions
• Use stakeholder engagement to shape strategic growth pathways
• Lead and support risk analysts through peer reviews, coaching, and mentoring
• Ensure customers receive fair and reasonable outcomes
• Challenge processes, procedures, peers, and managers when customer interests are not prioritized

Footprint Manager – Telematics

• Lead a team of risk analysts to deliver profit and growth targets through adjustments to the Telematics footprint
• Identify and lead opportunities to expand the competitive footprint or rectify unprofitable segments
• Develop and deliver innovative approaches to manage and control underwriting risk when expanding into new footprint segments
• Analyse risk using loss ratios and supporting KPIs
• Turn performance insights into clear recommendations shaping portfolio decisions
• Engage stakeholders to help shape strategic growth pathways
• Lead and support risk analysts through peer reviews, coaching and mentoring
• Ensure customers’ fair and reasonable expectations are met and provide fair outcomes
• Question and challenge processes, procedures, peers, and managers when customer interests are not central

Claims Adjuster

• Investigate, manage and progress home property damage claims across varying values and complexities
• Assess policy coverage, evaluate evidence and validate the cause and extent of damage
• Review repair scopes, settlement values and supporting documentation
• Instruct and liaise with approved suppliers, contractors, surveyors and other specialists
• Provide clear, empathetic and professional customer service through calls, emails and written correspondence
• Maintain accurate claim records, reserves, diary management and follow-up actions
• Collaborate with colleagues, referral teams, suppliers and field surveyors
• Deliver quality, service and indemnity outcomes, fair claim settlements and positive customer outcomes

Desk Adjuster – Home Claims

Machine Learning Engineer

• Build, improve and maintain machine learning pipelines used within Market Pricing
• Productionise Python-based models, notebooks and data science workflows
• Move models from development into repeatable, tested and documented production processes
• Improve testing, release, monitoring and maintenance of model workflows
• Investigate issues across data, model and pipeline workflows
• Automate manual steps to improve quality, speed or control
• Support Git, code review, testing and documentation practices
• Ensure pipelines and model workflows are traceable, auditable and safe to change
• Collaborate with Pricing, Data Science, Data Engineering, ML Engineering and governance stakeholders
• Own defined MLOps components and pipelines
• Work with senior colleagues on standards, architecture and governance

MLOps Engineer

• Build, improve and maintain machine learning pipelines used within Market Pricing
• Productionise Python-based models, notebooks and data science workflows
• Move models from development into repeatable, tested and documented production processes
• Improve testing, release, monitoring and maintenance of model workflows
• Investigate issues across data, model and pipeline workflows
• Automate manual steps to improve quality, speed or control
• Support Git, code review, testing and documentation practices
• Ensure pipelines and model workflows are traceable, auditable and safe to change
• Collaborate with Pricing, Data Science, Data Engineering, ML Engineering and governance stakeholders
• Own defined MLOps components and pipelines while contributing to standards, architecture and governance

Data Scientist

• Develop best-in-class machine learning models to predict claims outcomes, fraud, and other risk KPIs
• Develop novel features from raw telematics data
• Collaborate with ML Engineers to deploy machine learning models
• Monitor deployed models and link performance to commercial and customer outcomes
• Present work to Operational and Commercial stakeholders
• Explore new technologies and contribute to team best practices
• Turn telematics data into underwriting advantage and improve risk selection at quote and in-life stages
• Work within the Telematics Data Value team of data scientists, analysts, and engineers

Pricing Automation Analyst

Pricing Automation Analyst

Senior Engineer

Pricing Automation Engineer

Pricing Automation Engineer

Senior Engineer

Home Claims Team Leader

Conversion Rate Optimisation Executive – 12 Month FTC

Intervention Analyst

Footprint Manager – Telematics

Footprint Manager – Telematics

Desk Adjuster – Home Claims

MLOps Engineer

MLOps Engineer

Senior Data Scientist – Telematics