Jobs at Hastings Direct

Develop ML models to predict claims outcomes and fraud, collaborate with ML Engineers, monitor model performance against commercial KPIs, and present findings to stakeholders.

Design, build and maintain scalable ETL/feature pipelines to transform telematics sensor data into analytics-ready models. Own datasets end-to-end (testing, reliability, documentation), optimise query performance in cloud warehouses, and support feature engineering for pricing, underwriting and data science teams using Snowflake/Azure and dbt.

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.

Own and continuously improve digital claims journeys by using data-led insight, customer and qualitative research, and cross-functional delivery. Define product strategy, optimise in-life digital services and roadmaps, ensure governance and regulatory compliance, manage content (brochureware, FAQs), and influence stakeholders to improve customer outcomes and reduce costs.

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.

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.

Own and execute the third-party (TPPD) claims commercial strategy to optimise claims spend and indemnity savings. Drive data-led performance improvements, manage supplier contracts and commercial relationships, mitigate risk and ensure business continuity, and coach junior team members while delivering measurable trading outcomes.

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.