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Project Manager with Digital Banking Operations and Artificial Intelligence AI We are seeking a Project Manager with Digital Banking Operations and Artificial Intelligence (AI) Projects experience to join our Client a bank based in Central London. This is a full-time role located in London, with flexibility for some remote work. As an AI project manager, you be responsible for overseeing and managing the implementation of AI projects within our digital banking operations. You will collaborate with cross-functional teams to define project goals, develop project plans, allocate resources, track progress, and ensure timely and successful delivery of projects. Experience and Qualifications • Previous experience in project management, preferably within the banking or financial services industry • Strong understanding of digital banking operations and Artificial Intelligence AI technologies • Proven track record of successfully delivering complex projects on time and within budget • Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams • Strong problem-solving and decision-making abilities • Knowledge of agile project management methodologies • Experience with data analysis and reporting • Ability to adapt to changing priorities and work well under pressure • Project management certification (e.g., PMP) is a plus • Bachelors degree in a relevant field Areas to Consider 1. Customer Service Enhancement • Chatbots and Virtual Assistants: Deploy AI-driven chatbots to handle routine inquiries, provide 24/7 support, and reduce wait times. • Sentiment Analysis: Use AI to analyze customer feedback and sentiment from various channels to improve services. 2. Fraud Detection and Prevention • Real-Time Monitoring: Implement AI algorithms to detect and flag unusual transactions in real-time. • Predictive Analytics: Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation • Credit Scoring: AI can evaluate creditworthiness more accurately by analyzing a wider range of data points. • Document Verification: Automate the verification of documents submitted for loan applications, speeding up the approval process. 4. Personalized Banking Services • Customer Insights: Leverage AI to gain insights into customer behaviour and preferences, allowing for personalized product recommendations. • Marketing Campaigns: Use AI to target customers with tailored marketing campaigns based on their transaction history and preferences. 5. Risk Management • Risk Assessment: AI can analyze market trends and economic indicators to provide early warnings about potential risks. • Compliance Monitoring: Automate compliance checks and monitoring to ensure adherence to regulations and reduce the risk of non-compliance penalties. 6. Operational Efficiency • Process Automation: Use robotic process automation (RPA) to handle repetitive tasks such as data entry, account reconciliation, and report generation. • Workflow Optimization: AI can optimize workflows by identifying bottlenecks and suggesting improvements. Implementation Strategy • Assessment: Evaluate the current state of digital banking operations and identify areas where AI can add value. • Pilot Projects: Start with pilot projects to test AI applications in a controlled environment. • Scalability: Ensure that AI solutions are scalable and can handle increasing volumes of data and transactions. • Employee Training: Train staff on AI tools and their applications to ensure seamless integration. • Continuous Improvement: Regularly update AI models and algorithms based on new data and evolving business needs. Challenges and Considerations • Data Quality: Ensure high-quality data for accurate AI predictions and analysis. • Regulatory Compliance: Stay compliant with financial regulations while implementing AI solutions. • Customer Trust: Maintain transparency in AI-driven decisions to build and maintain customer trust. • Integration: Seamlessly integrate AI with existing banking systems and processes. The main emphasis of this position to is harness the data from a variety of data tables at the bank and collate a Data Lake from which to extract a variety of AI reports to increase the banks customer strategy. By strategically implementing AI in these areas, a Digital Banking Operations Manager can greatly improve the efficiency, security, and customer satisfaction in digital banking operations. The position will be hybrid 3 days a week in the office. The salary is negotiable depending on experience but probably in the range £80K - £120K plus benefits. Do send your CV to us in Word format along with your salary and notice period.

Data Analytics Senior Manager ??????\" Kings Cross London The Data Analytics team provides information that is accurate, consistent, timely and reliable, and ensure the information is easily available to users for direct consumption or integration with other systems. The DA team trains CSI managers and staff to use the data as an analytical tool for the purpose of understanding and option exploration. • Champion enterprise-wide culture of fact-based decisions, data quality and accountability. • Serve as the administrative chair facilitating a business data analytics governance council which shall review and approve information policies, data analytics priorities and resource allocations. • Review and recommend approval for information related policies, procedures and standards. • Directs, organizes, and leads DA workstream projects. • Works on highly complex, cross-functional, and enterprise solutions. • Establishes processes, roles and quality criteria for workstream planning process including inception, technical design, development, testing and delivery of DA solutions. • Reviews and approves work plans, timelines, deliverables and resource commitments. • Reviews and approves data architecture, data models and specifications. • Establishes and publishes performance metrics and plans for DA service demand and service levels. • Prepares and manages annual capital and operating budgets for DA assets, personnel and services. • Recruits, hires, develops and motivates the DA team members. • Reviews and approves functional requirements and business cases for DA improvements. • Advises executives on how DA (processes, practices and technologies) play a critical role in improving business management and optimization. • Aligns DA technologies with CSI strategic initiatives. • Approves selection of tools, frameworks and mechanisms for data analytics. Responsible for strategic, tactical, operational, financial, human, and technical resource managerial responsibilities associated with the following DA and DA-related functional areas: • Data governance • Data preparation (sourcing, acquisition, integration) • Data warehousing • Reporting, analytics, data exploration • Information delivery (portals, mobile) DA competency center or center of excellence (DA COE) • A university degree in computer science, economics, operations, management, or a related field is required • A minimum of five (5) years of progressively responsible experience in a directly related area, during which both professional and management capabilities have been clearly demonstrated. • Industry/domain skills: Extensive expertise in finance, HR, sales, marketing, product lifecycle management, manufacturing and post-sales service. • Medical device or pharmaceutical industry experience is preferred. • Experience in and understanding of a wide variety of analytical processes (governance, measurement, etc.). • Experience with agile software development. • A solid understanding of key trends including machine learning and artificial intelligence. General business skills: • Analytical mind with a problem-solving aptitude expressed with clear, concise written, verbal and presentation skills. • Experience managing global, complex projects and teams. • Ability to complete projects and achieve results in an ambiguous work environment. • Ability to take initiative and be innovative. • Ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results. • Ability to build and motivate a team to achieve well communicated expectations. • Strong leadership and consensus building abilities across global cultures and all levels of management. The salary for this role is expected to be in the range £70K - £85K. Location is Kings Cross London. Please send your CV to us in Word format along with your salary and availability.

Data Analytics Senior Manager ??????\" Kings Cross London The Data Analytics team provides information that is accurate, consistent, timely and reliable, and ensure the information is easily available to users for direct consumption or integration with other systems. The Data Analytics team trains CSI managers and staff to use the data as an analytical tool for the purpose of understanding and option exploration. • Champion enterprise-wide culture of fact-based decisions, data quality and accountability. • Serve as the administrative chair facilitating a business data analytics governance council which shall review and approve information policies, data analytics priorities and resource allocations. • Review and recommend approval for information related policies, procedures and standards. • Directs, organizes, and leads Data Ananlytics workstream projects. • Works on highly complex, cross-functional, and enterprise solutions. • Establishes processes, roles and quality criteria for workstream planning process including inception, technical design, development, testing and delivery of DA solutions. • Reviews and approves work plans, timelines, deliverables and resource commitments. • Reviews and approves data architecture, data models and specifications. • Establishes and publishes performance metrics and plans for DA service demand and service levels. • Prepares and manages annual capital and operating budgets for DA assets, personnel and services. • Recruits, hires, develops and motivates the DA team members. • Reviews and approves functional requirements and business cases for DA improvements. • Advises executives on how DA (processes, practices and technologies) play a critical role in improving business management and optimization. • Aligns DA technologies with CSI strategic initiatives. • Approves selection of tools, frameworks and mechanisms for data analytics. Responsible for strategic, tactical, operational, financial, human, and technical resource managerial responsibilities associated with the following DA and DA-related functional areas: • Data governance • Data preparation (sourcing, acquisition, integration) • Data warehousing • Reporting, analytics, data exploration • Information delivery (portals, mobile) DA competency center or center of excellence (DA COE) • A university degree in computer science, economics, operations, management, or a related field is required • A minimum of five (5) years of progressively responsible experience in a directly related area, during which both professional and management capabilities have been clearly demonstrated. • Industry/domain skills: Extensive expertise in finance, HR, sales, marketing, product lifecycle management, manufacturing and post-sales service. • Medical device or pharmaceutical industry experience is preferred. • Experience in and understanding of a wide variety of analytical processes (governance, measurement, etc.). • Experience with agile software development. • A solid understanding of key trends including machine learning and artificial intelligence. General business skills: • Analytical mind with a problem-solving aptitude expressed with clear, concise written, verbal and presentation skills. • Experience managing global, complex projects and teams. • Ability to complete projects and achieve results in an ambiguous work environment. • Ability to take initiative and be innovative. • Ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results. • Ability to build and motivate a team to achieve well communicated expectations. • Strong leadership and consensus building abilities across global cultures and all levels of management. The salary for this role is expected to be in the range £70K - £85K. Location is Kings Cross London. Please send your CV to us in Word format along with your salary and availability.

About the role We have an exciting opportunity for a Java Engineer to join the elementsuite team, with a passion for clean code, elegant architecture, and efficient delivery. This is a hands-on role where you'll be developing the elementsuite platform and its foundational services - all mission-critical components that underpin our software stack. You'll be working with Java (and Rust where needed), developing robust, secure, and scalable applications. As part of a small, elite team, you'll have the freedom and responsibility to shape our platform's future. elementsuite is rewriting the rulebook on how enterprise software is built. Our cloud-native platform powers flexible, scalable, and beautifully simple HR and workforce management solutions. At the start of this year, elementsuite and Zellis joined forces to create an AI-enabled, end-to-end HR, WFM and Pay solution. We already support some of the biggest brands in the UK & Ireland, combining deep HR domain expertise with next-generation technology. Together, we're transforming the future of HR and Payroll technology, where artificial intelligence meets human expertise to reimagine the world of work: intuitive, connected and AI-enabled. Our all-in-one solution is designed to power exceptional employee experiences and help our customers thrive. Key responsibilities in the role will include: Delivering best-in-class Java platform code, developing software in an iterative cycle with a focus on architecture and design throughout the process. Creating robust, scalable applications, using industry-standard source code control within a small team Developing and testing across multiple browsers, platforms, and devices, including smartphones and tablets where applicable. Maintaining and enhancing the platform software as a reliable and secure foundation for our current and future applications. Enhancing the performance of the platform software as required to meet agreed service level objectives. Creating, maintaining and enhancing foundational software tools for internal users. Maintaining and enhancing customer-facing platform services, such as authentication and integration services. Writing and maintaining performant code, interacting with Postgres, using extensive SQL skills and database knowledge. Providing hands-on architectural guidance and practical assistance to project teams and our development team, regarding our core product and customisations / configuration of that product, especially in the areas of interfaces, security and performance. Seeking innovative technical solutions to key business problems and opportunities. Keeping up-to-date with latest industry trends and research in software development, infrastructure operations, architecture and security. Skills & experience Experienced in delivering complex software solutions (any experience in HR software would be advantageous). Deep expertise in Java, OO design patterns, multi-threading and asynchronous paradigms. Experience with Spring, Git, Postgres, MongoDB, and JavaScript. Comfortable designing APIs and working across cloud-native architectures. Experience writing performant Rust code is a strong bonus. Ability to quickly learn new technologies. A collaborative mindset and a champion for innovation, always finding smarter, better ways to solve problems. Benefits & culture At Zellis we create AI-enabled HR, workforce management and payroll products and services, to power exceptional employee experiences so that you and your people do better. Our multi-award-winning products pay over five million employees a year, with almost half (42%) of the FTSE 100, 50% of the top retailers and 30% of the top universities in the UK & Ireland as customers, making us the largest provider of Payroll and HR software and managed services. Our vision is to be the clear leader in pay, reward, analytics, and people experiences. We're passionate about creating an environment where people want to join, belong to, and be part of a progressive organisation. Our values, which were defined with input from all of our 3,000 colleagues, we live and breathe every day: Unstoppable together. Always learning. Make it count. Think scale. Our people are critical to our ongoing success; we're proud of our inclusive culture that gives you the platform to grow, challenge the status quo and play a crucial role in further enhancing our market position as the leading provider of HR & Payroll software and services. With Zellis you'll have the chance to stretch and challenge yourself in an environment that's varied, flexible and hugely supportive. We also love to reward and recognise our brilliant colleagues. As part of your benefits package, you'll receive: A competitive base salary. 25 days annual leave, plus your birthday off and the opportunity to buy additional holiday. Private medical insurance. Life assurance 4x salary. Enhanced pension scheme with company contributions up to 8.5%. A huge range of additional flexible benefits across financial & personal wellbeing, lifestyle & leisure.