2 of 2 Financial Institution Jobs in Somerset

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 … modelling tools like dbt. Knowledge of orchestration tools and Agile/DevOps practices. Data Analytics Lead | Data Engineering Lead | Risk Reporting Lead | Risk Data Engineering | SQL Expert | Data Warehouse | Financial Risk Analytics | Risk Data Management | Snowflake | SQL Server | SSIS | Power BI | Regulatory Compliance | Market Risk | Credit Risk | Data Team Manager | Data Platform Lead | Data Transformation | Financial Institution More ❯

end of day risk domain (not front office risk). This is a unique chance to play a key role in a major integration project for a leading global financial institution, with significant exposure to senior stakeholders and the opportunity to shape new business processes from the ground up. You will lead the risk workstream for a major … project steering committees are kept informed and escalate risks/issues appropriately What We're Looking For Proven track record of delivering credit and market risk change projects within financial institutions, on time and within budget Demonstrable experience in investment budget management, project governance, and full project lifecycle management Experience working with risk managers across credit, market, enterprise, and … gather requirements, and translate them for business analysts and technology teams Excellent communication skills, with experience presenting to and working with senior executives Strong knowledge of banking regulations and financial products Experience managing multiple stakeholders and building relationships across diverse business functions No specific risk system experience required, but an understanding of risk data flows and processes is key More ❯