Overview
In this role you will lead the collections and servicing function for Marshmallow’s car finance book, building an AI-native operations capability capable of handling exponential volume while keeping customers at the center. You will partner with engineers to automate where possible, yet still manage human-driven escalation and complex cases. You will set strategy, develop the team, and own key performance and regulatory outcomes in a fast-paced, regulated consumer credit space. This is a hands-on leadership role with a strong emphasis on impact, quality coaching, and cross-functional collaboration.
Pay / Benefits
- Bonus scheme designed to reward high performance
- Private medical insurance with Vitality
- Mental health support with Oliva
- Personal learning budget and 2 dedicated L&D days a year
- Monthly flexible benefits budget
- 25 days holiday plus bank holidays
Responsibilities
- Lead the collections and servicing team, focusing on performance, coaching, development and hiring as volume scales
- Develop a best-in-class collections approach that delivers strong business outcomes while meeting regulatory and statutory requirements
- Foster a culture that is excellence-focused and customer-centric within operations
- Build relationships with brokers and dealers and align underwriting and payout processes to their needs
- Own key commercial outcomes for servicing and collections and report to leadership and stakeholders
- Collaborate with engineering to create an efficient, AI-native operations function that still leverages human input where needed
Key requirements
- Significant operational leadership experience in regulated financial services
- Deep working knowledge of UK consumer credit conduct rules
- Experience running or building an operations function through volume growth
- Comfort using data to set priorities, size problems and evidence decisions
- Ability to adapt to AI-native and tech-enabled ways of working
- Customer-centric mindset
- Coaching and people development
- Strategic thinking with hands-on execution
- AI/native operations
- LLMs for operational efficiencies
- Data-driven decision making
…
