3 of 3 Credit Risk Jobs in the East Midlands

support the increase of profitability for the portfolio using tools like SAS and SQL daily. About the Role: As a Collections Strategy Analyst, you will be: Driving insight for credit risk strategy using SAS and SQL for collections Detecting new trends on customer data to help increase business revenue Analysing both internal and external data to make strategic … changes impacting growth and revenue Developing credit risk strategies across the collection and arrears Using SQL and SAS daily for strategy development Responsibilities: To be successful as a Collections Strategy Analyst, you will need: Experience as a credit risk strategy analyst Experience working with unsecured credit portfolios Ideally experience working on Credit Cards Experience … developing credit risk strategies for collections Experience working with SQL and/or SAS STEM Degree from a top university Benefits Up to £42,000 + Benefits More ❯

a new Treasury Management System in a SaaS environment , with a strong emphasis on governance, sequencing, and stakeholder engagement. Key Responsibilities: Lead and coordinate two integration trains focused on credit risk reporting/modelling and treasury modelling . Own and manage the cutover and sequencing plans for systems integration across multiple platforms. Ensure strict governance and compliance with … in large-scale banking or financial services programmes. Strong understanding of systems integration , data flows , and regulatory reporting requirements. Experience working in a SaaS environment , ideally with treasury or risk systems. Excellent attention to detail and ability to manage heavy administrative tasks and documentation. Proficient in Jira , with the ability to interpret and report on delivery metrics. Strong stakeholder … technical and non-technical teams. Familiarity with Agile frameworks (e.g., SAFe) and programme governance structures. Desirable: Experience with Workday , Treasury Management Systems , or similar platforms. Knowledge of liquidity reporting , credit risk modelling , and regulatory frameworks . Background in data management or data architecture . More ❯

autonomous decisioning frameworks, and driving innovation across the customer lifecycle. The successful candidate will work closely with cross-functional teams to deliver data-driven solutions in fraud prevention, marketing, credit risk, and customer management. This is an exciting opportunity for a commercially experienced data scientist to take ownership of key initiatives and shape the future of data science More ❯