Quantitative Analyst (Collections)

SUMMARY:
A leading financial services organisation is seeking a highly analytical Quantitative Analyst to join its Collections and Credit Analytics team. This opportunity is ideal for a quantitative professional with experience in predictive modelling, credit risk analytics, machine learning, and portfolio optimisation who enjoys solving complex business problems and influencing strategic decision-making through data.

POSITION INFO:
The successful candidate will play a key role in developing collections and recoveries strategies, enhancing portfolio performance, and delivering advanced analytics solutions that improve customer outcomes and business profitability. The successful candidate will play a key role in developing collections and recoveries strategies, enhancing portfolio performance, and delivering advanced analytics solutions that improve customer outcomes and business profitability. Key Responsibilities: Develop, validate, and enhance collections and recoveries strategies using advanced statistical and analytical techniques. Build predictive models to improve collections effectiveness, customer segmentation, and recovery performance. Analyse customer behaviour and portfolio performance to identify opportunities for optimisation. Conduct forecasting, trend analysis, and scenario modelling to support business decision-making. Develop and monitor collections scorecards and decision engines. Design and implement champion\/challenger testing frameworks. Deliver advanced reporting, dashboards, and performance monitoring frameworks. Support strategy development through quantitative analysis and data-driven insights. Collaborate with collections, operations, risk, finance, and technology teams. Translate analytical findings into actionable business recommendations. Improve data quality, analytics processes, and model governance standards. Present findings and strategic recommendations to senior stakeholders. Job Experience and Skills Required: Education: Degree in Statistics, Mathematics, Actuarial Science, Data Science, Quantitative Risk Management, Engineering, Economics, Computer Science, or a related quantitative field. Experience: Minimum 2 years' experience in Quantitative Analytics, Credit Risk Analytics, Data Science, Decision Science, or Statistical Modelling. Exposure to collections, recoveries, credit risk, lending, or portfolio analytics advantageous. Experience building predictive models using large datasets. Experience working within Financial Services, Banking, FinTech, Retail Credit, or Consulting environments. Experience engaging with business stakeholders and translating technical findings into commercial outcomes. Skills: Advanced Collections & Recoveries Analytics Predictive Modelling & Statistical Analysis Collections Strategy Design & Optimisation Credit Risk Analytics Behavioural Segmentation & Customer Profiling Scorecard Development & Validation Strategy Testing (Champion\/Challenger Methodologies) Debt Recovery Performance Analytics Portfolio Monitoring & Performance Tracking Collections Decision Science Data Mining & Pattern Recognition Forecasting & Trend Analysis Customer Lifecycle Analytics Risk-Based Decisioning SQL (Advanced) SAS \/ Python \/ R Data Visualisation & Business Intelligence (Power BI, Tableau) Management Information & Executive Reporting Process Automation & Analytical Efficiency Improvements Stakeholder Engagement & Consulting Business Problem Solving Strategic Thinking & Commercial Acumen Presentation & Storytelling with Data Cross-Functional Collaboration Influencing Operational and Business Stakeholders For more exciting Actuarial and Analytics vacancies, please visit: I also specialise in recruiting in the following: Actuarial: Life, Short-Term, Health, Pensions, and Quantitative Data & Analytics: Data Scientists, Data Analysts (Python, R, SQL, Machine Learning) Risk: Credit Risk, Market Risk, Model Risk, and Operational Risk Analysts Pricing: Specialists in Insurance and Financial Products AI & Machine Learning: ML Ops, NLP, Predictive Modelling Data Scientists Quantitative: Experts across Banking, Insurance, and FinTech If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles \/ positions. For more information, contact: Zahrah Gani Specialist Recruitment Consultant 🔗