City of London, London, United Kingdom Hybrid / WFH Options
Cobalt Recruitment
Senior Yardi SystemsAnalyst £50,000 - £55,000 Remote Role Overview Cobalt is proud to be partnered with a globally renowned real estate investment and asset management firm that boasts an impressive and diverse portfolio across commercial, residential, and mixed-use assets. As they continue … to scale their digital capabilities, they are looking to bring in a Senior Yardi SystemsAnalyst to support the optimisation, integration, and innovation of their Yardi platform across multiple regions. Role Responsibilities Lead the support and configuration of Yardi Voyager modules. Gather and translate business More ❯
is re-invested in new and existing homes and improving services. About the role We have an exciting opportunity for a SeniorSystemsAnalyst - HR & Payroll to join the Guinness Team. This is a permanent, full-time vacancy based in our Oldham, Bower House or … are currently working to a hybrid working style. The overall purpose of the role is to design and deliver improvements in HR and Payroll systems and associated services across Guinness to ensure effective, compliant and secure HR processes and high-quality reporting. What we're looking for We know … relationship builder with a willingness to go the extra mile to get the job done. You'll be able to demonstrate: Essential: Proven Oracle systems operation and development experience at a day-to-day and strategic level, including managing systems change in a large and complex organisation. Proven More ❯
available at . It starts here. Have a global impact on the world of payments. Paysafe is hiring for a Senior Risk SystemsAnalyst to join our team in London. What Paysafe stands for: Being open and honest. Keeping focused . Operating with Courage . … Proficiency in MS Office, data manipulation, visualization tools (e.g., Tableau). Experience with Python, SQL Server, big data technologies. Knowledge of antifraud solutions, risk systems, device fingerprinting, CRM, and case management tools. Understanding of machine learning model validation and deployment. Advantages include: Knowledge of card schemes, chargebacks, collections, prepaid More ❯