Managing the collections process for Comcast Business by addressing delinquencies and resolving inquiries through effective communication methods. This role ensures customer accuracy and satisfaction while adhering to company guidelines.
About the role
- Collections Senior Analyst focused on data strategies to improve collections and foster customer relations in a UK-based social FinTech. Collaborating with teams to deliver actionable insights for sustainable recoveries.
Responsibilities
- Support the development and implementation of collections segmentation and strategies, ensuring they balance business goals with fair customer outcomes.
- Lead complex analysis of collections strategies and performance, providing actionable insights to optimise risk management strategies.
- Take ownership of key metrics related to collections, identifying trends and recommending improvements to strategies and policies.
- Influence senior stakeholders through the presentation of analysis and recommendations in order to drive impactful change.
- Collaborate with the Operations and Data Science teams to provide data-driven insights that improve agent performance, customer contact strategies, and outcomes.
- Support in testing and validating new collections tools, processes, and decision-making frameworks.
- Analyse and evaluate external collections partners (e.g., DCAs, debt sale), producing performance reporting and recommendations to maximise value and customer experience.
- Stay updated on industry trends, collections practices, and regulatory changes, sharing relevant insights with the team.
- Mentor and support junior analysts, fostering a culture of analytical excellence and continuous development within the team.
Requirements
- Is passionate about data, analytics, and credit risk management.
- Is proactive, self-motivated, and comfortable working in a dynamic environment.
- Has excellent communication skills, capable of presenting complex insights to both technical and non-technical audiences.
- 5+ years of experience in collections analytics, ideally within consumer lending.
- A degree in a numerate discipline (e.g., Mathematics, Statistics, Economics, or STEM) or equivalent practical experience.
- Strong proficiency in SQL to query and extract insights from large datasets; experience with Python is a big plus.
- Advanced Excel skills, including the ability to work with complex formulas, pivot tables, and data analysis tools.
- A solid grounding in probability and statistics, with experience in running controlled champion-challenger tests.
- Experience with collections strategy, decisioning or segmentation techniques.
- Experience in creating data monitoring and KPIs with tools like Power BI / Tableau or similar.
- Understanding of FCA CONC, Consumer Duty, and best practices for supporting vulnerable customer in collections.
- Excellent analytical and problem-solving skills, with attention to detail and a data-driven approach.
- Experience developing or maintaining collections models (desirable).
- Knowledge of debt sale or DCA performance analysis (desirable).
Benefits
- Competitive salary
- 25 days annual leave
- Pension
- Death in Service Provision
- Private health insurance
- Subsidised Childcare
- Subsidised Gym Membership
- Hybrid working (2 days from home)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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