4 of 4 Credit Risk Jobs in the Midlands

We are looking for a Senior Data Analyst to join our Credit Risk Portfolio Management team - a key function responsible for understanding and forecasting the financial health of the customer base. The role requires the use of advanced analytics to provide deep insights into credit risk and performance to inform our risk management strategy. This … translate insights into action. Here's a taste of what you'll be doing Partnering with Finance to develop and maintain debt forecasts to track performance vs. plan, forecast risk and deep dive into the drivers of variations to plan Developing scenario models to enable data-based decisioning within operational and strategic planning cycles Staying up to date with … techniques and technologies, partnering with Data Science to deliver advanced segmentation and behavioural analysis Delivering and consulting on the advanced analytics required to support project delivery across the wider Credit Management function e.g. simulation models, data pipeline mock ups, statistically robust testing Translating analytical outputs into clear recommendations for business stakeholders, influencing decisions across debt prevention and collections strategy More ❯

and how clients can best use Experian data analytics to improve business outcomes. Responsibilities Include Design analytics solutions to client's problems in any area of consumer lending and credit risk management, using Experian analytics solutions. Engage in a consultative way with the client, to identify problems and define, design and deliver analytics solutions, with expertise in credit risk modelling and optimisation techniques. Present proposals to clients for analytics solutions, including recommendations. Provide consultancy on the potential 'bigger picture' strategies. Co-ordinate with Experian's Analytics Pre-Sales team to contribute to sales opportunities and support the conversion of sales prospects. Qualifications Strong analytical modelling and consultancy experienced gained in credit risk management or … banking sector as a Consultant, Data Scientist or Machine Learning Engineer. Applied modelling and analytics experience to lead business decisions Expertise in credit risk decisioning. Deep coding knowledge in Python with SAS or R. Good stakeholder management skills. Subject matter expert on the mechanics of consumer lending (risk, data usag, outcomes) Knowledge of Cloud/AWS Product More ❯

customer lifecycle. This is a hands-on, commercially focused role where you'll build and improve predictive models, support autonomous decisioning frameworks, and deliver actionable insights across fraud, marketing, credit risk, and customer management. You'll join a collaborative team and work closely with cross-functional squads, contributing to impactful projects while developing your skills in machine learning … experimentation, and modern data tooling. Key Responsibilities: Model development & improvement : Build, validate and maintain predictive models (e.g., credit risk, fraud, marketing response, collections) with guidance from senior teammates. Decisioning support : Translate models into business decisions through clear documentation, model outputs, and policy/testing setups. Experimentation : Design and analyse A/B and champion-challenger tests; deliver insights More ❯

Business Significant knowledge of capital markets and financial risk management (market and/or credit risk), clearing and margining concepts Experience with Scrum and the use of Jira & writing test cases using Zephyr. Experience working with cross-functional technology teams to deliver projects using agile methodologies. Excellent written and verbal communication. Experience in testing including test planning More ❯