McCabe & Barton

A leading Big Four consultancy is looking to hire a Risk and Compliance Manager to join its growing Banking Risk and Regulatory Transformation team (Non-Financial). The group supports retail, wholesale and capital markets clients on complex risk, conduct and regulatory programmes and works closely with Front Office, Risk, Compliance and Finance teams click apply for full job details

Duration: 12 months FTC, salary £45,000 Location: onsite at Chester Role Description: This job is responsible for preparing and reviewing documentation in accordance with the bank's policies and procedures to facilitate closings with the client and ensure lien perfection. Key responsibilities include working on highly complex documentation, supporting Loan Administrators with their primary responsibi click apply for full job details

AI Automation Engineer | Hybrid 3 days a week in office | London | Permanent A leading financial services client in London is seeking a talented AI Automation Engineer to join their team. Please see below for key details. Role Overview: Analyse and optimise business processes for automation whilst designing, building, and deploying intelligent automation solutions using BPA platforms (Appian), Machine Learning, and Generative AI to drive operational efficiency and innovation. Key Characteristics: Process Analysis & Optimisation - Expert in analysing existing business processes through stakeholder interviews, process mapping, and workflow documentation to identify automation opportunities. Skilled in creating process flow diagrams, conducting time-motion studies, identifying bottlenecks and inefficiencies, and redesigning processes to be machine-readable and automation-ready using methodologies. Python Development - Strong proficiency in Python programming including object-oriented design, asynchronous programming, error handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong experience with Appian low-code platform including process modelling, interface design, expression rules, integration objects, and data modelling. Skilled in building end-to-end business process applications, configuring workflows, implementing business rules, managing records, and integrating Appian with external systems via REST APIs, web services, and connected systems. API Development & Integration - Proficient in designing and building RESTful APIs using FastAPI, Flask, or Django REST Framework for exposing AI models and automation services. Experience with API authentication (OAuth, JWT), rate limiting, error handling, API documentation (Swagger/OpenAPI), webhooks, and integrating disparate systems to create seamless automated workflows. Document Processing & OCR - Experience implementing intelligent document processing solutions using OCR technologies (Tesseract, Azure AI Document Intelligence, natural language processing for information extraction, document classification, and building end-to-end pipelines for automated document ingestion, processing, and data extraction with validation rules. Robotic Process Automation (RPA) - Knowledge of RPA concepts and tools (UiPath, Automation Anywhere, Power Automate) for automating repetitive tasks, screen scraping, and Legacy system integration. Ability to assess when RPA vs. API integration vs. AI solutions are most appropriate, and experience building hybrid automation solutions combining multiple technologies. Data Engineering & Pipeline Development - Strong skills in building data pipelines for AI/automation solutions including data extraction, transformation, and loading (ETL). Experience with SQL databases (SQL Server), data validation, cleansing workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks, and implementing CI/CD pipelines for automated model training and deployment. Understanding of model governance, explainability, and compliance requirements. Solution Architecture & Technical Design - Ability to design end-to-end automation architectures that combine multiple technologies (BPA, ML, GenAI, APIs) into cohesive solutions. Experience creating technical design documents, system architecture diagrams, assessing build vs. buy decisions, estimating effort and complexity, and presenting technical recommendations to both technical and non-technical stakeholders. Stakeholder Collaboration & Change Management - Excellent communication skills for gathering requirements from business users, translating business needs into technical specifications, and demonstrating proof-of-concepts. Experience managing stakeholder expectations, conducting user acceptance testing, providing training on automated solutions, measuring automation ROI through KPIs (time saved, error reduction, cost savings), and driving adoption of intelligent automation across the organisation. If you align to the key requirements then please apply with an updated CV.

We are working with a leading Financial Services organisation that is seeking a Technology Risk Analyst to join the business on a permanent basis. This role will help strengthen the organisations technology risk and control environment. You will assess technology platforms, change activity, supplier risk and operational resilience, while working closely with teams across the business click apply for full job details

We are working with a leading Financial Services organisation that is seeking a Technology Risk Analyst to join the business on a permanent basis. This role will help strengthen the organisations technology risk and control environment. You will assess technology platforms, change activity, supplier risk and operational resilience, while working closely with teams across the business click apply for full job details

Interim Head of Service Desk - London A leading financial services client is currently looking for an Interim Head of Service Desk for an initial 3-month contract position. Skills and Qualifications: Experience of supervising and managing a busy IT Service management function Strong ITIL methodologies(Incident, Problem and Change management) Excellent leadership skills to motivate and move the team forward Strong Excel skills for reporting purposes Agile/Scrum practices would be useful Experience working in a customer facing role 3rd Party service provider management experience Demonstrable experience of managing a function that provides end user support in a financial services environment Experience providing resource for and working within a structured change management environment for project delivery Experience defining and establishing service management workflows and processes aligned with the ITIL framework Windows 10/11, MS O365, MS Copilot and Active Directory knowledge Understanding of security platforms, strong Firewall experience Good technical knowledge of Intune, AD, Azure, Compute, Storage and Networking Duties and Responsibilities: Ensure staff are exceeding expectation and are meeting defined metrics and or objectives that you have set Ensure that the team is delivering BAU and project commitments Train, coach, develop and mentor staff Overall responsibility for 1st/2nd line support operations Implementing a robust service management structure and service catalogue processes Reporting and presenting at technology and business forums If you have a Career history in delivering good quality service management and excellent leadership skills, please do reply with your CV in the first instance.

Graduate Trade Support Analyst Location: London, Hybrid Salary: £45,000 + Strong Bonus Type: Permanent Join a leading Financial Services Client as a Trade Support Analyst in a role designed to develop recent graduates into skilled technology professionals. This position offers comprehensive training and exposure to cutting-edge trading systems and market data platforms. This role consists of providing level 2 technical support for the client's applications to both internal departments and external customers. The range of applications covers Middle and Back Office as well as Market Data. Specifically, to provide technical support in a project-based structure to ensure the successful delivery of application solutions. Responsibilities: Provide production support and maintenance for a full range of Pre and Post Trade applications including project-related activities. Perform monitoring, tuning and optimisation of performance. Create and update all documents related to applications and their supporting systems. Support production and pre-production environments. Maintain disaster recovery solutions across different domains. Recommend new or changed standards to ensure improved efficiency, effectiveness, and robustness for all environments. Respond quickly to production issues taking responsibility for seeing those issues through to resolution, recording all actions taken and communicating the impact of the actions to the appropriate levels of management. Provide 24x7x365 support and incident response. Flexibility to work in shifts (as per roster) and during weekends and extended hours when needed. Essential Requirements Computer Science degree (minimum 2:1) from a Russell Group university Desirable Knowledge and Level of Experience: Strong analytical and problem-solving skills Excellent communication and interpersonal abilities Willingness to learn new technologies quickly Customer-focused approach with ability to work under pressure Flexibility for occasional shift work and extended hours Desirable Skills SQL knowledge Linux/Unix Scripting experience Python programming Understanding of Agile/DevOps methodologies Interest in financial markets and trading systems If you think you are a good fit then please apply with an updated CV!

Senior Data Analyst London-based (3 days on-site) 12 month FTC Salary: £80,000 + excellent benefits package About the Role A leading financial services client in London is seeking a talented Senior Data Analyst to join their Information Security team. In this strategic position, you'll drive technology compliance initiatives by producing insightful management information through sophisticated click apply for full job details

A leading Financial Services client is seeking an experienced Senior Data Engineer to join the business on a permanent basis and support a major data transformation. As a Senior Data Engineer, you'll design and deliver robust, automated ETL pipelines and database solutions that power business-critical insights. You'll use your advanced SQL skills to build and optimise data structures, alongside tools such as Snowflake, Azure, and Python. This is a high-impact role where you'll influence architecture, streamline processes, and drive automation across the data landscape. The role offers a base salary of £60,000 to £75,000 plus strong benefits and flexible working. Key Responsibilities: Design, build, and maintain automated ETL pipelines and high-performance database structures. Manage and enhance a Snowflake ecosystem for streaming and batch workflows. Support the adoption of Generative AI (GenAI) and lead platform innovation with Snowflake and Microsoft technologies. Skills & Experience: Advanced SQL skills (DDL, DML, query optimisation) with a track record of building efficient, scalable database structures. Strong knowledge of automated ETL processes. Experience with Snowflake, Azure Data Factory, and Azure DevOps. Proficiency in Python for data engineering tasks. Agile delivery experience. Willingness to work with other modern data engineering toolsets. If you're an experienced Senior Data Engineer with the required skills, please apply today.