2 of 2 Risk Analytics Jobs in the South West

Risk Reporting Data Engineering Lead Central London/Hybrid Financial Risk Data/Data Analytics/International Banking Base salary: c. £135k + bonus + comprehensive bens. As a tech recruitment partner for this international bank, we're assisting in hiring a Technical Lead for the Risk Reporting team, which involves designing technologies for data warehousing … mining, BI, and reporting. Are You Ready to Lead in a Fast-Paced, Global Environment? The client seeks a Data & Analytics Engineering Lead to head an international team (10-15 members), driving innovation in Risk Reporting. As the organisation evolves with regulations and tech, they need someone with strong technical leadership, a passion for data, and a drive … to architect impactful risk management solutions. Main Purpose Lead and develop a high-performing team of 10-15 Engineers delivering robust, scalable risk reporting solutions globally. Key Responsibilities Mentor an international team focused on risk data ingestion, transformation, and reporting. Act as SME in database and reporting solutions, working with Risk stakeholders to meet business needs. More ❯

Are you ready to turn data into action? Thames Water is looking for a skilled and driven Collections Data Scientist to join our dynamic Credit Risk team. What you will be doing as the Collections Data Scientist : In this pivotal role, you will help shape data-led strategies that enhance customer experience and reduce bad debt, making a real … impact on millions of lives across the region. As part of a priority investment area, this is your chance to work at the forefront of Credit Risk Analytics, supporting smarter collections through advanced insight and proactive debt prevention. Working closely with a talented team and senior stakeholders, you'll help deliver best-in-class portfolio management, drive innovation … in our data capabilities, and ensure analytics are seamlessly aligned with our digital infrastructure. Key accountabilities: Deep dive analysis: Conduct deep-dive analysis into customer portfolio trends to identify root causes of debt accumulation, enabling preventative measures to be implemented. Create and refine predictive models: Develop and refine predictive models and analytical frameworks to improve credit risk assessment More ❯