Lead Debt Recovery Performance Analyst
Indexed description
The Lead Debt Recovery Performance Analyst is responsible for driving continuous improvement in debt recovery strategies. You will be part of a high performing team delivering market-leading services, and making a meaningful impact on client outcomes.
What you'll do
- Strategy & Innovation: Devise and execute superior portfolio strategies to optimise liquidation and collections while driving a "test and learn" agenda for new data and strategies.
- Stakeholder Engagement: Act as a key point of contact for clients and internal partners (Supplier Management, Operations) to communicate performance and influence strategic objectives.
- Portfolio Oversight: Manage all aspects of the performance of client portfolios, ensuring the effective handling of a range of customer statuses, including early to late-stage arrears and personal insolvencies, as applicable.
- Process Optimisation: Identify and implement efficient solutions to automate processes and enhance product developments through rigorous testing and validation.
- Reporting & Insight: Own the development and delivery of Management Information (MI) that provides deep insight to internal and external stakeholders and identifies opportunities for improvement.
- Financial Performance: Support the management team in forecasting and communicating the business's financial performance while identifying revenue opportunities through portfolio deep dives.
- Operational Support: Provide analytical support to Relationship and Operational teams to ensure the delivery of exceptional service to clients.
- Data Integrity: Responsible for the reconciliation of data between multiple sources to ensure accuracy and high-quality output.
- Analytical Expertise: Exceptional analytical and problem-solving skills with a high degree of rigour and the ability to translate business objectives into an analytical agenda.
- Industry Background: Proven experience working in a high-performing Collections or Recoveries environment.
- Technical Proficiency: Advanced experience with data set manipulation and database environments such as SQL.
- Numeracy & Precision: Exceptional numeracy skills with a meticulous attention to detail.
- Communication & Influence: Strong interpersonal skills with the confidence to influence stakeholders at the highest levels and effectively communicate complex analytical insights.
- Delivery: Experience delivering high-quality output within tight deadlines.
- Advanced Technical Skills: Experience using Python for data manipulation and advanced analytics. Familiarity with Google workspace tools.
- Academic Background: A BA/BSc (2:1 or higher) in Mathematics, Statistics, or another numerically focused degree.
- Broad Financial Context: Prior experience within the wider Financial Services sector.
- People Management: Prior experience of managing a small team to deliver analytical insights and data-informed initiatives
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