Jobs at Marshmallow

Execute car finance operations, including customer queries and underwriting, while improving process speed, reliability, cost-efficiency, and service quality. Build AI-powered automation with engineering and product teams, analyze data for decisions, and operate effectively in a fast-paced regulated environment. The role requires strong organization, attention to detail, customer focus, and comfort with ambiguity and emerging technology.

Own and evolve CRM operations, governance, campaign execution, segmentation, scheduling, and platform management. Enable cross-functional teams to use CRM effectively while maintaining quality and consistency. Use data, testing insights, and audience analysis to optimize customer communications and measurable business impact. This individual contributor role requires strong platform ownership, stakeholder collaboration, and hands-on CRM expertise, preferably with Braze.

The Staff Data Scientist will provide technical leadership in Claims, developing ML and AI systems for risk decisioning and fraud detection, collaborating with cross-functional teams to scale decisioning and enhance claims automation.

Lead technical strategy for claims fraud data science, designing and shipping production ML and Generative AI/LLM systems. Drive system-level improvements for model integration, monitoring, feedback loops and QA. Influence cross-functional product and engineering decisions to scale AI-driven claims automation and improve measurement of performance and uncertainty.

Senior technical accounting role owning complex, judgement-intensive accounting across the Group (insurance, car finance, SPV, consolidation). Lead FRS 102 transition, revenue recognition remediation, audit readiness, balance sheet reconciliations, and coach junior staff. Collaborate cross-functionally with Engineering, Data, FP&A, Actuarial, and auditors to embed technical accounting controls and resolve legacy issues.

The Senior CRM Operations Manager will own and evolve CRM operations, build governance frameworks, support stakeholders, and drive campaign execution through data insights and collaboration across teams.

Lead a small team of pricing data scientists to own loss-ratio views, translate analytics into commercial pricing actions, drive cross-functional investigations with claims/finance/product, and communicate performance and risk trends to senior stakeholders to inform pricing strategy.