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Data & MI Manager Our Client is a bank based in Central London who are looking to recruit Data & MI Manager with at least 3 to 5 years’ experience of working with Data. The position is to ensure the effectiveness of data extraction and data reporting capabilities within the Bank • To support the Senior Management and Head of Compliance in the management of compliance and regulatory risks through MI analytics and reporting. Key Responsibilities • Ensure collation of client data, transactional data/activity by respective Business Units are managed and tracked accurately • Single point of reference for any data related matters within the branch • Prepare daily Transaction Monitoring report for review • Prepare monthly name screening file for Group Financial Crime Compliance (GFCC) to generate 1AML alerts • Ensure master file on full client information is managed and tracked alongside with CMS team • Prepare daily/weekly/monthly branch transaction volume by business unit, client segment etc. • Develop presentations, dashboards, reports, and other project communications and documentation, where required • Provide support to develop/test data analytic trends for profiling, quality and cost performance scoring, risk modelling, program evaluation, where relevant. • Provide recommendations on department policies, objectives and initiatives, based on MI capabilities. • Manage business expectations, manage process performance, conduct continuous improvement and causal analysis activities with business teams. • Participate as independent participant in IT, Data and Project working committees where data related considerations and insights are required. • Support the senior management other Head of Departments at the bank in London • Any other responsibilities / tasks as assigned by the Head of Compliance from time to time Experienced in SAS modelling platforms. • Basic ETL programming skills (SQL, SAS, etc) a must. • 3 years of experience of relevant banking/compliance in established bank / financial institutions. Technical/Functional skills • Knowledge of risk best practices and Models infrastructure coupled with working with data models. • Experienced in SAS modelling platforms. • Basic ETL programming skills (SQL, SAS, etc) a must. • The required understanding of the business/business units. Personal skills (Soft Competencies [Core/Leadership]) • Good judgment in enabling the provision of sound advice on regulation and practice, proactive management of compliance and regulatory risks. • Good presentation and influencing skills, required in guiding and assisting teams in putting forward proposals for clients, whenever necessary. Qualifications (Basic Degree/Diploma etc) • Bachelor's Degree or Professional Qualification in the relevant discipline (Degrees in Statistic, Information Systems, or similar This is an exciting position within a bank with interesting projects. The salary for this position is in the range £45K- £55K. Please do send your CV to us in Word format along with you salary and availability.

Data & MI Manager Our Client is a bank based in Central London who are looking to recruit Data & MI Manager with at least 3 to 5 years’ experience of working with Data. The position is to ensure the effectiveness of data extraction and data reporting capabilities within the Bank • To support the Senior Management and Head of Compliance in the management of compliance and regulatory risks through MI analytics and reporting. Key Responsibilities • Ensure collation of client data, transactional data/activity by respective Business Units are managed and tracked accurately • Single point of reference for any data related matters within the branch • Prepare daily Transaction Monitoring report for review • Prepare monthly name screening file for Group Financial Crime Compliance (GFCC) to generate 1AML alerts • Ensure master file on full client information is managed and tracked alongside with CMS team • Prepare daily/weekly/monthly branch transaction volume by business unit, client segment etc. • Develop presentations, dashboards, reports, and other project communications and documentation, where required • Provide support to develop/test data analytic trends for profiling, quality and cost performance scoring, risk modelling, program evaluation, where relevant. • Provide recommendations on department policies, objectives and initiatives, based on MI capabilities. • Manage business expectations, manage process performance, conduct continuous improvement and causal analysis activities with business teams. • Participate as independent participant in IT, Data and Project working committees where data related considerations and insights are required. • Support the senior management other Head of Departments at the bank in London • Any other responsibilities / tasks as assigned by the Head of Compliance from time to time Experienced in SAS modelling platforms. • Basic ETL programming skills (SQL, SAS, etc) a must. • 3 years of experience of relevant banking/compliance in established bank / financial institutions. Technical/Functional skills • Knowledge of risk best practices and Models infrastructure coupled with working with data models. • Experienced in SAS modelling platforms. • Basic ETL programming skills (SQL, SAS, etc) a must. • The required understanding of the business/business units. Personal skills (Soft Competencies [Core/Leadership]) • Good judgment in enabling the provision of sound advice on regulation and practice, proactive management of compliance and regulatory risks. • Good presentation and influencing skills, required in guiding and assisting teams in putting forward proposals for clients, whenever necessary. Qualifications (Basic Degree/Diploma etc) • Bachelor's Degree or Professional Qualification in the relevant discipline (Degrees in Statistic, Information Systems, or similar This is an exciting position within a bank with interesting projects. The salary for this position is in the range £45K- £60K. Please do send your CV to us in Word format along with you salary and availability.

Data Analyst with Big Data – Canary Wharf Our Client is seeking a Data Analyst for the Data Products team is driving innovations in the Financial Services Sector using Big Data. The Client has a high-calibre, focused and a mission-driven team. The models we build and the analysis that we derive from financial data matters to crucial cutting-edge business decisions made across the global financial services firms every day and provides insight into real world problems. In this role, you will gain a deep understanding of income and expense transactions, financial classifications, and long term financial management within the UK market. You will participate in customer and partner calls to review requirements and client needs. You will quickly gain an understanding how local income and expense calculations, and financial management best practices can be leveraged to deliver financial wellness tools in the UK market. This role will allow you to partner analytics teams to review and enhance data categorization for key income and expense transactions, develop a specification for both rules based and machine learning driven enhancements to categorization by defining transaction types. You will also interact closely with the Financial Product team to provide requirements to localize the financial management tools for the UK market. You will perform regular and ongoing analysis on consumer transactions to identify methods for improved categorization, testing and certifying enhancements, and validating performance metrics. You will also work with the Financial Wellness Product team to adapt their products for the UK market. This requires you to develop a deep understanding of the UK financial management space in order to develop an ongoing UK roadmap with the rest of the Financial product team. Must have a Bachelor’s Degree coupled with 2 – 4 years of experience in software-oriented Product Management, preferably in financial services. Experience in financial modelling and possessing knowledge of the financial services and transactions. Experience/Interest in analysing data and a high attention to detail especially in regards to data cleansing You possess superb written & oral communication skills. You have analytical skills with a background in financial analysis and carefully seek to understand underlying business needs, both on a market level as well as from individual client/prospects. You are adaptable and can work successfully in a technical environment as a non-technical leader. The ideal candidate is inquisitive and highly detail oriented. You are focused on execution and are able to make definitive decisions in uncertain environments with limited data. This is a 3 month contract assignment initially. Please send your CV to us in Word format along with your daily rate and availability.

3rd Level Treasury Systems Support with FIS Integrity Treasury Application Role Description This is a full-time 3rd Level Treasury Systems Support role focused on the FIS Integrity Treasury Application. The position is based in London in a hybrid working model, combining on-site work with some flexibility to work from home. Day-to-day responsibilities include providing advanced technical and functional support for the FIS Integrity Treasury system, investigating and resolving complex incidents, and managing service requests escalated from 1st and 2nd line support teams. The role will require monitoring system performance, performing configuration changes, coordinating application upgrades and patches, and supporting integrations with related finance and banking systems. The specialist will collaborate with treasury, finance, and IT stakeholders to understand user requirements, improve system usability, document solutions and procedures, and contribute to continuous improvement of treasury processes and controls. Our Client is looking to recruit a Level 3 Treasury Systems Specialist will be responsible for the configuration, integrity, and controlled evolution of the Treasury Management System and its integrations, ensuring that all system changes are delivered safely, efficiently, and aligned to Treasury requirements. Technical Platform Management & Treasury System Integrity. Ensures integrity, resilience, and controlled operation of the Treasury platform, safeguarding payment execution, liquidity visibility, risk processing, and accounting accuracy. · Configure and maintain FIS Integrity TMS workflows, parameters, and reference data · Manage integration architecture across banks, trading platforms, ERP, and market data providers · Ensure system configuration aligns with Treasury processes, control standards, and SaaS constraints · Maintain technical documentation and configuration baseline to support audit and traceability Complex Issue Resolution & Treasury Risk Containment Contains and resolves high impact issues that threaten Treasury operational integrity, financial risk exposure, or regulatory compliance. · Diagnose and resolve high‑severity system and integration issues · Perform cross‑system root‑cause analysis covering data, configuration, and integration layers · Implement corrective and preventative actions to reduce recurrence of Treasury‑impacting incidents · Analyse incident trends to strengthen platform resilience and reduce operational risk Release & Regression Governance with Treasury Assurance Protects Treasury outcomes during change by ensuring releases are safe, controlled, and aligned to business risk. · Define regression testing scope based on Treasury risk and process criticality · Validate system changes prior to release against technical and control criteria · Approve production deployments and technical release readiness Ensure release execution meets governance, audit, and SaaS requirements Controls, Configuration & Audit Governance Ensures Treasury systems remain audit ready, controlled, and compliant with segregation of duties and access policies. · Maintain configuration standards and SoD controls · Monitor system access and privileged configuration changes · Support internal and external audits with traceable configuration and change evidence · Ensure ongoing compliance with Company control and governance framework Enhancements & Project Delivery Supporting Treasury Outcomes Delivers platform enhancements that improve Treasury efficiency, accuracy, and control without introducing operational risk. · Deliver system enhancements and configuration improvements · Support Treasury projects and platform upgrades · Translate approved functional requirements into robust system design aligned to SaaS constraints The role operates as the second line of defence for Treasury technology risk, safeguarding platform integrity and ensuring that system design, change, and configuration do not introduce financial, regulatory, or operational exposure to Treasury. : · System configuration supports business processes accurately · Changes are delivered safely without introducing risk · Integrations operate reliably across all connected systems · System behaviour is consistent and auditable · Release cycles are governed and aligned to Treasury operations The role acts as the technical control layer of the platform, ensuring that all system changes meet both operational and regulatory requirements. Must have the following: · 1-2 years’ experience 2nd/3rd Line Support capacity in FIS Integrity · Strong configuration and data model knowledge · Strong Treasury business operation understanding · Advanced SQL capability · Integration experience (APIs, SWIFT, SFTP, ERP) · Experience with SaaS release models Qualifications · Strong treasury domain knowledge, including Treasury Management and Cash Management, with experience supporting or working in corporate treasury environments. · Solid Finance and Accounting skills, with the ability to understand financial instruments, cash flows, reconciliations, and reporting requirements. · Advanced Analytical Skills, including troubleshooting complex system issues, interpreting data, and identifying root causes and process improvements. · Hands-on experience with FIS Integrity Treasury Application or similar treasury management systems, including configuration, support, and upgrades. · Familiarity with interfaces between treasury systems and banking platforms, ERP, or general ledger systems. · Proficiency in SQL or similar query tools for analysis and reporting is highly beneficial. · Experience working in a 3rd line or application support role within financial services or a related sector. · Strong communication skills, with the ability to work collaboratively with technical teams and non-technical business users. · Organized, detail-oriented approach and the ability to manage multiple incidents and change requests in a structured way. · Bachelor’s degree in finance, accounting, information systems, or a related field, or equivalent practical experience. Desirable · Experience with ATS or equivalent frameworks · Custom reporting and data modelling experience · Exposure to global Treasury implementations Qualifications · Degree in IT, Engineering, or Finance · Vendor certifications preferred This is a hybrid position with 3 days a week in the office in Central London. The salary will be in the range £80K - £100K. Do send your CV to us in Word format along with your salary and notice period.

Role: Java/AWS Developer Role Type: Leeds, UK - Hybrid (3 to 2 days onsite/week) Salary/ Rate: Negotiable Type: Permanent (FTE) No. of Openings:10 Note: We have openings here (Junior & Senior Developer) Job Description : (Developer) Skills: 5-7 years of overall experience with the following skills and experience. Good communication and collaboration skills are key to working in a DevOps culture. Growth mindset. Essential Skills Core AWS Services: Proficiency/understanding of key AWS services listed below:- S3- Athena- Glue- Lambda- DynamoDB- OpenSearch- CloudFormation- API Gateway- ECS- CloudWatch Programming and Core Services • Fluency in Kotlin/Java, NodeJS, TypeScript • SQL Databases Experience with SQL, and NoSQL databases such as DynamoDB Security – strong understanding of security principles within the AWS environment, including RBAC and the principle of least privilege, storing credentials securely using Secrets Manager/KMS, and handling sensitive data such as email addresses and tokens securely. CI/CD – Building and managing continuous integration and delivery pipelines is a key skill. Experience with Git and GitHub Actions Other Skills: Workflow Management – Understanding of services like Amazon Step Functions to implement complex workflows. Containers – experience of working with Docker and ECS Monitoring and debugging – familiarity with tools like Datadog, good understanding of DevOps / DevSecOps concepts. Familiarity with the Angular framework. Senior Developer: Skills: Senior developer with the following skills and experience. Strong communication and collaboration skills are key for working in a DevOps culture, with the ability to guide team members when needed. Growth mindset. Essential Skills Core AWS Services: Proficiency/understanding of key AWS services listed below:- S3- Athena- Glue- Lambda- DynamoDB- OpenSearch- CloudFormation- API Gateway- ECS- CloudWatch Programming and Core Services • Fluency in Kotlin/Java, NodeJS, TypeScript • SQL Databases Experience with SQL, and NoSQL databases such as DynamoDB Security – strong understanding of security principles within the AWS environment, including RBAC and the principle of least privilege, storing credentials securely using Secrets Manager/KMS, and handling sensitive data such as email addresses and tokens securely. CI/CD – Building and managing continuous integration and delivery pipelines is a key skill. Experience with Git and GitHub Actions Workflow Management – Understanding of services like Amazon Step Functions to implement complex workflows - Desirable Containers – experience of working with Docker and ECS Good understanding of DevOps / DevSecOps concepts Other Skills: Monitoring and debugging – familiarity with tools like Datadog. Familiarity with the Angular framework.

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.