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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 Bachelor's 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.

BA – Business Analyst with AML – City London Our Client is seeking to recruit a Business Analyst with Anti-Money Laundering skills – so a BA with AML. You must have a thorough understanding of Anti-Money Laundering processes and regulations as a Business Analyst. Perform business analysis to support the deployment of Anti-Money Laundering - AML software products to meet clients' business requirements Communicate with clients to assess solution fit and identify product gaps Ensure requirements are accurately specified, communicated and understood by the technical implementation team Provide ongoing support to the client and to the technical implementation team to ensure the quality of the implemented system in meeting business requirements Provide tuning, training and consultancy services to clients Lead/perform data and quality analysis including data mapping reviews, data validation and remediation, alert validation and issue impact analysis Respond to Business and Functional requirement requests Comply with internal quality, reporting, and administration processes Qualifications You will must have a degree coupled with at least 5 years experience as a Business Analyst. Should have practical experience of compliance within the Financial Services industry (banking, brokerage or insurance) Preference will be given to candidates with experience in Anti-Money Laundering Must have customer facing experience, preferably in a Consulting or Professional Services capacity Strong written and verbal communication skills are essential Experience of writing detailed specifications Team-oriented and yet able to work independently and creatively Able to thrive in a fast-paced environment and learn quickly Hands on experience in SQL would be an advantage, though not essential The duration of the assignment is 6 months. The location is the City in London with the possibility of travel to Europe and/or the Middle East & South Africa. The daily rate is negotiable. Please send your CV to us in Word format along with daily rate 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 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.

Manager - Risk Reporting with Data Analytics Wholesale Credit and Market Risk (WMR) department within HBEU measures and monitors global credit and market risks arising from lending and trading activities as well as providing credit approval for corporates, financial institution and sovereign exposures. The team is engaged in a lot of European regulatory reporting (for ex. AnaCredit) and senior management reporting and analysis deliverables that are spread across EU countries on a need basis. The aim is to bring all these tasks together as one team and deliver them in a centralized and standardized manner. Key Accountabilities: " Understand the requirements of the regulators/senior management " Create solutions basis the knowledge of Risk systems to optimize the timeliness and accuracy of results " Explain the month on month, quarter on quarter movements in the risk metrics in a business language " Manage stake holders in Regional and Group Risk functions, coupled with finance/business as required " Builds and maintains effective working relationships with IT & System owners " Acquire data from primary or secondary data sources to meet the reporting/analysis requirements " Identify valuable data sources and automate collection processes " Identify, analyze, and interpret trends or patterns in complex data sets " Analyse the data sources and provide solutions in terms of results, bring out the business interpretation of the results and explore better possibilities of coming with an alternate approach as per the requirement " Collate, test and check independently sourced data and assess its robustness and fitness for purpose. " Automate the high volume processes supporting Group, Region and Site " Support ad-hoc requests in support of the business as necessary " Prepare effective material for dissemination to key business stakeholders at all levels of seniority. " Drive standardization of data ingestion processes to gain efficiency " Ensure the timeliness, accuracy and reasonableness of results produced by the process " Work with management to prioritize business and information needs " Locate and define new process improvement opportunities " Support junior team members in terms of delivering assigned tasks " Review junior team members work before releasing to the customers Requirements: " University degree and/or post graduate qualification with a relevant finance/quantitative/risk content " 8+ years of experience in related/relevant areas " Previous exposure to large projects involving technical IT considerations " Strong technical knowledge with any of these (SAS, SQL, Python, Tableau, BI Tools, Qlik Sense etc.) " Knowledge of banking wholesale credit risk " Proven ability to manage high volume data with embedded data quality procedures " Understanding of banking book financial products, macro-economics, econometrics and financial markets " Excellent communication skills with technical (the team) and non-technical (senior entity management around the globe) counterparts; being able to "translate" between the two worlds Self-starter, who can think proactively and demonstrate the ability to learn abstract concepts and to operate effectively against uncertainty and on unfamiliar ground The salary for this role will be in the range PLN 15K to PLN 20 20K per month. The position is based in Krakow P Please send your CV to us in Word format along with your salary in PLN or Euros.

Finance Change Business Manager A global role within Finance Change supporting Wealth and Personal Banking (WBP) reporting to the Head of Finance Change. This is a key function within the central Finance Change team and the job holder will be supporting all Finance Change including Global, Regional, Country and sub-business. Support will also be required key strategic and operational initiatives like Visualisation, Change Operating Model design and Data Quality Framework. Key Accountabilities Impact on Business Program and Business Management – Finance Change Set up an effective and efficient Program Management Coordinate all measures and initiatives within the program Ensure transparency and monitoring (e.g. monthly dashboard) Prepare and follow up on action items from global, regional and sub-business program calls Provide regular status updates to senior management including Finance and Change Prepare and coordinate all operating organisational design and change target operation model related topics Drive efficiency in change approach Coordinate program with wider change and data strategy Support and drive regulatory aspects of data sharing, data visa and compliance for the Global Private Bank Change Support ad hoc business analysis for data remediation and process efficiency on high profile change initiatives Coordinate and provide business cases for various change initiates Support additional Operational Efficiency measures, e.g. Align Cross platform changes between Saracen, tm1, Data Lake and Visualisation Align change across products, Regions and Global Finance Operations Move to Agile ways of working including adoption Agile Target Operating Model (ATOM) Knowledge of banking business (min. 5 years of experience with a major global bank or a top tier management consulting firm) Knowledge of Wealth and Personal Banking business considered as a plus Graduate degree from a top tier university, master's degree a plus Knowledge of organizational design principles and initiatives Experience in Agile methodologies Process analysis and re-engineering experience Experience in operations management Proven ability to work with a team across multiple locations Knowledge of relevant laws and regulations in key locations Preparation of high quality strategic and operational analysis Proficient in MS Office and databases Experience in managing near- and offshoring initiatives PERSONAL ATTRIBUTES Ability to conduct complex business research and analysis in a fast-paced multicultural environment and ability to support generation of business insights and actionable recommendations as a result Ability in complex problem-solving Experience in working on cross-border assignments, large and geographically dispersed projects and project teams Excellent organizational skills and the ability to effectively manage multiple demands, shifting priorities and tight timelines Flexible and adaptable nature to conduct a multi-faced role with changing priorities and assignments that are complex, unpredictable and time-sensitive Good communication skills and consultative approach to partner with WPB Finance Change Team and other stakeholders Critical thinker and is not afraid of challenging others' ideas Excellent analytical and conceptual skills Collaborative nature, able to build effective relationships with multiple stakeholders and peers internally across multiple functions and business lines Focus on delivering to high standards and quality Excellent organisational skills and an ability to juggle priorities to meet varied and sometimes ambiguous requirements. Ability to work with teams across Finance This position is based in Krakow Poland. Salary for this role will be in the range Polish Zlotys PLN 18K to PLN 20K per month. Please send your CV to us in Word format along with your salary.

Expérience5 ans minimum en Data Engineering 🚀 DémarrageDès que possible – au plus tard fin septembre 2026 🏠 Télétravail2 jours de télétravail / semaine 3 jours de présence obligatoire sur site / semaine 🎯 Contexte de la missionAu sein de la Direction des SI Mutualisés, l'équipe DataLab intervient sur les périmètres Data & Analytics dans le cadre du programme de transformation du SI du Groupement Les Mousquetaires. Le consultant intégrera la Data Factory, qui regroupe les équipes Data de la Stime et des métiers. Cette organisation a pour objectif de concevoir et déployer des produits Data, BI, Analytics et Data Science à destination des fonctions support, des équipes logistiques, des magasins et des consommateurs. Dans un contexte de passage à l'échelle et d'industrialisation des pratiques Data, vous rejoindrez une Squad Supply / Logistique, en charge du développement de cas d'usage BI, Analytics et Data Science sur une plateforme Data basée sur Microsoft Azure et Databricks. 🎯 Description de la missionNous recherchons un Data Engineer Confirmé / Senior, polyvalent et opérationnel, disposant d'une solide expertise sur : Azure Databricks Apache Spark Python SQL Le consultant devra également avoir une forte appétence pour l'analyse de données et être capable d'intervenir sur les activités de QA et de testing, afin de garantir la qualité et la fiabilité des livrables de la Squad. Une expérience sur Power BI ainsi qu'une première expérience dans un environnement Supply Chain / Logistique seront fortement appréciées. 🔧 Missions principalesRecueillir et analyser les besoins Data Réaliser des analyses de données Concevoir et développer des pipelines de données Transformer, enrichir et traiter les données au sein du Data Lake Développer des notebooks Databricks pour les traitements avancés Concevoir et optimiser les traitements Data Mettre en œuvre des solutions de Cloud Data Warehousing Optimiser les requêtes SQL et réaliser le tuning des traitements Rédiger la documentation technique : dossiers d'analyse technique, release delivery notes, etc. Participer aux revues de code Garantir l'application des bonnes pratiques de développement Concevoir et exécuter les tests unitaires Réaliser les activités de QA / testing des pipelines développés par les autres Data Engineers de la Squad Concevoir et maintenir des tableaux de bord Power BI Livrer les développements dans un environnement DevOps / CI-CD Participer à l'amélioration continue des pratiques Data Engineering 🧩 Compétences techniques requisesCompétenceExpérience minimaleExpérience Data Engineering5 ansAzure3 ansDatabricks3 ansSpark3 ansPython5 ansSQL5 ansCI/CD – Azure DevOps3 ansAgile / JIRA1 an ⭐ Compétences appréciéesPower BI Expérience Supply Chain / Logistique Data Lake / Cloud Data Warehouse Optimisation et performance des traitements Data QA / Data Quality / Testing Environnement Agile à l'échelle