Head of AI

We have partnered with a large, diversified conglomerate to hire an AI/ML Manager. This is a hands-on technical leadership role at the heart of the Group's AI delivery programme. The business is building and deploying real AI systems across multiple functions, and this person will own the engineering of those systems from design through to production. If you want to work on AI that actually ships and actually matters, this is the role.This role suits someone with deep applied AI experience who is ready to lead delivery across a cross-functional engineering team without losing their technical edge.About the role:Design, build and deploy production-grade AI and ML systems including LLM-based applications, RAG pipelines and GenAI workflows across the GroupTranslate business use cases into scalable, well-architected technical solutions that solve real problems rather than demonstrate capabilityDevelop APIs, integrations and orchestration workflows that connect AI systems into broader platform and product architectureLead delivery across small engineering pods, maintaining quality, pace and clear accountability throughoutEnsure all systems meet production readiness standards including performance, scalability, monitoring and fault toleranceStay current with the rapidly evolving AI landscape and bring emerging techniques and tooling into the team where they add genuine value About you:Strong Python skills and deep applied AI/ML experience, with a track record of building and deploying models into production environmentsHands-on experience with LLM APIs, RAG system design and vector databases such as Pinecone, Weaviate or pgvectorProficiency with orchestration frameworks such as LangChain, LlamaIndex or equivalentSolid understanding of system design, APIs and how AI components integrate into broader engineering architecturesComfortable leading engineering teams and managing delivery across multiple workstreams simultaneously

We have partnered with a large, diversified conglomerate to hire an AI Manager with a Data Engineering focus. This is a hands-on technical leadership role sitting at the intersection of data infrastructure and AI delivery.The business is moving fast on its AI agenda and needs someone who understands that the quality of what gets deployed is only ever as good as the data that powers it. You will own the data engineering workstream within a cross-functional AI team, building the pipelines, platforms and architecture that make production AI systems possible.This role suits a technically strong engineer who has grown into delivery leadership and wants to operate at the centre of a genuinely ambitious AI programme.About the role:Design and build scalable, production-grade data pipelines and infrastructure that directly support AI and ML systems across the GroupTranslate business use cases into clean, well-architected technical solutions across both batch and streaming data environmentsOwn data platform development across cloud environments, ensuring reliability, performance and scalability at enterprise scaleDevelop APIs, workflows and integrations that connect data infrastructure to AI and ML systemsLead delivery across small engineering pods, maintaining pace, quality and clear accountabilityEnsure all solutions meet production readiness standards including monitoring, observability and fault tolerance About you:Strong hands-on experience building and maintaining data pipelines using ETL and ELT patterns in production environmentsProficiency with cloud data platforms such as Snowflake, BigQuery or RedshiftExperience with both batch and streaming processing frameworks such as Apache Spark, Kafka or equivalentStrong SQL and Python skills, with an understanding of software engineering principles applied to dataExperience designing data architecture that supports AI and ML systems, including feature stores, data lakes and semantic layersComfortable leading engineering teams and managing delivery across multiple workstreams

We have partnered with a large, diversified conglomerate to hire a Head of AI Engineering. This is a Group-level role with a mandate that matters. AI is moving from strategy into execution across the business, and this person will own that transition end to end. From identifying the right use cases to deploying production-grade systems at enterprise scale, the remit is broad, the visibility is high and the opportunity to leave a lasting mark on a complex organisation is real.This role suits a leader who is equally at home in a technical design review and a boardroom conversation. You will bring strong engineering depth, sharp commercial judgement and the ability to build and inspire a cross-functional team that delivers.About the role:Lead the identification, design and deployment of AI use cases across business functions, owning the full journey from concept to productionDefine and own the architecture across AI/ML, GenAI and automation systems at enterprise scaleBuild, lead and scale a cross-functional AI engineering team, setting the standard for how the function operates and deliversEstablish MLOps frameworks, deployment standards and governance practices that ensure AI systems are reliable, secure and maintainablePartner with product and business stakeholders across the Group to drive adoption, measure ROI and ensure AI initiatives deliver tangible commercial valueAct as the senior technical voice on AI across the organisation, influencing decisions at Group leadership level About you:10 to 15 years or more of experience in engineering, AI or large-scale technology delivery, with a clear track record of deploying AI and ML systems into production at enterprise scaleStrong hands-on understanding of LLMs, orchestration frameworks, MLOps and modern AI architecture patternsSolid experience across cloud platforms including AWS, Azure or GCP, alongside APIs and data pipeline designProven ability to lead technical teams and engage senior stakeholders with equal confidence and credibilityCommercially minded, with the ability to connect technical decisions to business outcomes and articulate value clearlyIndustry background is open, but experience within complex, multi-business-unit organisations is a strong advantageBased in the UAE or willing to relocate

Senior Business Analyst - Contract - 12 MonthsRate: Up to £750 per dayIR35: InsideDuration: 12 MonthsLocation: Newcastle / Hybrid (c. 60% onsite)The role:A public sector organisation is seeking a Senior Business Analyst to support the delivery of a high-profile, user-focused service.This role sits within a multidisciplinary environment, working at pace to analyse, shape and deliver business and digital change. You will play a key role in ensuring services are designed around user needs, aligned to organisational goals, and deliver measurable outcomes. Experience requirements & Responsibilities:Lead business analysis activities across complex programmes and services.Elicit, define and translate business and user needs into clear requirements.Analyse current processes, identify improvement opportunities and define target operating models.Support the design, development and testing of new services and solutions.Assess impacts of change, including business, policy and operational constraints.Define success measures and ensure delivery aligns to expected outcomes and benefits.Collaborate within multidisciplinary Agile teams to support iterative delivery.Engage and influence stakeholders across business and technical teams. Essential:Proven experience operating as a Senior Business Analyst within digital environments.Strong stakeholder management and communication skills.Experience working within Agile or similar delivery frameworks.Ability to analyse complex problems and drive solutions through to delivery.Experience translating business goals into clear requirements and outcomes.Understanding of operating models, business change and service design principles. If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.

We have partnered with a growth-stage enterprise SaaS business to hire an AI Product Manager. This company is not bolting AI onto an existing product and hoping for the best. They are rebuilding how their platform thinks, automates and serves users, and they need a PM who can lead that from the front. With serious engineering talent already in place and a leadership team that understands what AI can actually do, the conditions here are genuinely rare.This role suits someone who sits comfortably between the technical and the commercial. You understand how AI systems work well enough to have credible conversations with engineers, and you understand users well enough to know which problems are actually worth solving.About the role:Own the AI product roadmap, defining and prioritising features that embed AI meaningfully into the core platform experienceWork closely with engineering, data science and design to take AI capabilities from concept through to shipped, production-grade featuresConduct deep user and market research to identify where AI can reduce friction, automate workflows and create measurable value for enterprise customersDefine success metrics for AI features, building evaluation frameworks that go beyond vanity metrics to measure real user and business impactTranslate complex AI capabilities into clear product narratives that resonate with customers, sales and executive stakeholdersStay ahead of the rapidly evolving AI landscape, identifying emerging techniques and tools that could strengthen the productPartner with GTM and customer success teams to ensure AI features land well and drive adoption across the customer base About you:3 to 5 years of product management experience, with at least some of that spent shipping AI or ML powered features in a production environmentStrong enough technical understanding of AI and ML concepts to work as a genuine peer to engineering and data science teamsProven track record of owning and delivering features that created measurable value for enterprise customersComfortable operating in a fast-moving, growth-stage environment where priorities evolve and ambiguity is part of the jobSharp analytical mindset with experience using data to inform prioritisation, evaluate feature performance and drive decisionsExcellent communicator with the ability to align technical teams, commercial stakeholders and senior leadership around a shared visionFamiliarity with LLMs, agentic systems or workflow automation is a strong advantageBased in the US or authorised to work in the United States

We have partnered with an established fintech business to hire a BI Engineer. This is a business that runs on data. Decisions across product, commercial and operations are driven by insight, and the BI function sits right at the centre of that. With a mature data environment and a leadership team that genuinely values what good BI looks like, this is a strong platform for someone who wants to do their best work.About the role:Design, build and maintain scalable data models and BI solutions that serve commercial, product and operational teams across the businessOwn the development and continuous improvement of dashboards and reporting tools, ensuring they are accurate, performant and genuinely usefulWork closely with stakeholders to understand reporting requirements and translate them into clean, well-structured analytical solutionsBuild and maintain data pipelines that feed BI layers, working alongside data engineering to ensure reliability and consistencyDefine and enforce semantic layer standards, metrics definitions and data documentation that create a single source of truthIdentify opportunities to improve data accessibility, reduce manual reporting and drive self-serve analytics across the organisation About you:4 to 6 years of experience in BI engineering or a closely related analytics engineering roleStrong proficiency in SQL and experience working with modern data platforms such as Snowflake, BigQuery or RedshiftHands-on experience with BI tools such as Looker, Power BI or Tableau, including building production-grade dashboards and reportsSolid understanding of data modelling principles including dimensional modelling and experience with dbt or equivalent transformation toolingComfortable working directly with business stakeholders to gather requirements and deliver solutions that drive decisionsFintech, banking or financial services experience is advantageous

We have partnered with a leading omnichannel retailer in the UAE to appoint a Head of Data. This business operates across physical and digital channels, generating rich data across customer behaviour, inventory, supply chain and commercial performance. The opportunity is to bring that data together, make it trustworthy and turn it into something the business uses to compete.This role suits a seasoned data leader who can set strategy, shape technical direction and build a function that delivers real commercial value across a complex retail organisation.About the role:Define and lead the data strategy, aligning capability with commercial priorities across physical and digital channelsBuild and scale a data function spanning engineering, analytics, data science and governanceOwn the architecture and evolution of the data platform, ensuring it supports advanced analytics and AI use cases at scaleDrive the development of a unified customer view connecting online and offline behaviour across the full retail journeyEstablish data governance frameworks and quality standards that make data trustworthy across the organisationPartner with commercial, marketing, supply chain and technology leadership to embed data-driven decision making at every level About you:12 or more years of experience in data leadership, with a track record of building and scaling data functions within complex organisationsDeep understanding of the retail data landscape including customer analytics, merchandising, supply chain and omnichannel measurementStrong technical grounding across cloud data platforms, data modelling and analytics infrastructure, with experience in tools such as Snowflake, Databricks or dbtProven ability to lead high-performing teams across engineering, analytics and data science disciplinesCommercially minded, with the ability to connect data initiatives directly to revenue, margin and customer outcomesCredible at C-Suite level with strong stakeholder management skills

Job title: Fidessa Application Support Analyst - Equities Trading Location: Bromley - Hybrid working Salary: £85,000 - £100,000 + Benefits + Bonus Start date: ASAP Working hours: 40 hours per week We are working with one of the largest global BFSI organisations, operating at scale across international markets, who are looking for an experienced Fidessa Application Support Analyst to support and enhance their front office trading platforms. In this role, the Fidessa Application Support Analyst will be working in a fast-paced front office environment, supporting equities trading systems and contributing to the stability and performance of business-critical platforms.The Fidessa Application Support Analyst will be involved across the full trade lifecycle, working closely with traders and technology teams to resolve issues, drive improvements and support ongoing regulatory and system changes. This is an excellent opportunity to join a highly respected organisation where you will gain exposure to complex, large-scale trading environments and modern technologies.Essential skills - Fidessa Application Support Analyst:Strong experience with FidessaEquities / Global Markets knowledgeUnderstanding of FIX ProtocolJava & Linux experienceScripting (Python, Shell, or TCL)Experience with SQL databases (Sybase / MS SQL)Messaging frameworks (IBM MQ, TIBCO or similar) Desirable skills - Fidessa Application Support Analyst:Experience across the full trade lifecycleExposure to regulatory changeAgile / Jira experienceUnderstanding of DevOps or automation tools If you're an experienced Fidessa Application Support Analyst looking to join a leading global organisation and work on high-impact trading systems, please apply with your most up to date CV to be considered.

Senior Data Quality Analyst (SQL / Power BI)Salary: Up to £52,000 + BenefitsLocation: Central London - Hybrid (2 days per week onsite)Working Hours: 35 hours per week - Full timeJob Type: PermanentA respected organisation is seeking an experienced Senior Data Quality Analyst to drive the improvement of critical asset information across a large and complex property portfolio.This Senior Data Quality Analyst role will focus on leading the strategic roadmap for data quality, ensuring asset data is accurate, trusted and fit for regulatory reporting, operational decision-making and long-term planning.Responsibilities for the Senior Data Quality Analyst:Lead the development and delivery of the Asset Data Quality Roadmap with clear milestones and measurable outcomesDrive large-scale data cleansing, reconciliation and validation programmesOwn and improve data quality within the Asset Management System (AMS)Conduct root cause analysis of data issues and implement sustainable solutionsDevelop data standards, controls and monitoring frameworksBuild and maintain dashboards, scorecards and reporting packs using Power BI and SQLPresent insights and progress updates to senior stakeholdersDeliver training workshops and support colleagues on best practice in data qualityWork with IT, Asset Management and third parties on integrations and migrationsSupport audits, assurance reviews and compliance reportingEssential Skills for the Senior Data Quality Analyst:Advanced experience with SQL, Power BI and data reconciliation toolsData quality, cleansing or transformation experienceStrong analytical skills with the ability to interpret large datasetsKnowledge of data governance frameworks and controlsExperience delivering process improvement and change initiativesStrong stakeholder engagement and communication skillsAbility to translate technical findings into clear business insightDesirable Skills for the Senior Data Quality Analyst:Any relevant certificationsExperience with asset management systems and data migrationsIf you are an experienced data professional looking to lead meaningful improvement across a large asset estate, this role offers visible impact, strong stakeholder exposure and long-term career value.Senior Data Quality Analyst / Data Analyst / Senior Data Analyst

We have partnered with a large, diversified conglomerate to hire an AI/ML Manager. This is a hands-on technical leadership role at the heart of the Group's AI delivery programme. The business is building and deploying real AI systems across multiple functions, and this person will own the engineering of those systems from design through to production. If you want to work on AI that actually ships and actually matters, this is the role.This role suits someone with deep applied AI experience who is ready to lead delivery across a cross-functional engineering team without losing their technical edge.About the role:Design, build and deploy production-grade AI and ML systems including LLM-based applications, RAG pipelines and GenAI workflows across the GroupTranslate business use cases into scalable, well-architected technical solutions that solve real problems rather than demonstrate capabilityDevelop APIs, integrations and orchestration workflows that connect AI systems into broader platform and product architectureLead delivery across small engineering pods, maintaining quality, pace and clear accountability throughoutEnsure all systems meet production readiness standards including performance, scalability, monitoring and fault toleranceStay current with the rapidly evolving AI landscape and bring emerging techniques and tooling into the team where they add genuine value About you:Strong Python skills and deep applied AI/ML experience, with a track record of building and deploying models into production environmentsHands-on experience with LLM APIs, RAG system design and vector databases such as Pinecone, Weaviate or pgvectorProficiency with orchestration frameworks such as LangChain, LlamaIndex or equivalentSolid understanding of system design, APIs and how AI components integrate into broader engineering architecturesComfortable leading engineering teams and managing delivery across multiple workstreams simultaneously

We have partnered with a large, diversified conglomerate to hire an AI Manager with a Data Engineering focus. This is a hands-on technical leadership role sitting at the intersection of data infrastructure and AI delivery.The business is moving fast on its AI agenda and needs someone who understands that the quality of what gets deployed is only ever as good as the data that powers it. You will own the data engineering workstream within a cross-functional AI team, building the pipelines, platforms and architecture that make production AI systems possible.This role suits a technically strong engineer who has grown into delivery leadership and wants to operate at the centre of a genuinely ambitious AI programme.About the role:Design and build scalable, production-grade data pipelines and infrastructure that directly support AI and ML systems across the GroupTranslate business use cases into clean, well-architected technical solutions across both batch and streaming data environmentsOwn data platform development across cloud environments, ensuring reliability, performance and scalability at enterprise scaleDevelop APIs, workflows and integrations that connect data infrastructure to AI and ML systemsLead delivery across small engineering pods, maintaining pace, quality and clear accountabilityEnsure all solutions meet production readiness standards including monitoring, observability and fault tolerance About you:Strong hands-on experience building and maintaining data pipelines using ETL and ELT patterns in production environmentsProficiency with cloud data platforms such as Snowflake, BigQuery or RedshiftExperience with both batch and streaming processing frameworks such as Apache Spark, Kafka or equivalentStrong SQL and Python skills, with an understanding of software engineering principles applied to dataExperience designing data architecture that supports AI and ML systems, including feature stores, data lakes and semantic layersComfortable leading engineering teams and managing delivery across multiple workstreams

We have partnered with a large, diversified conglomerate to hire a Head of AI Engineering. This is a Group-level role with a mandate that matters. AI is moving from strategy into execution across the business, and this person will own that transition end to end. From identifying the right use cases to deploying production-grade systems at enterprise scale, the remit is broad, the visibility is high and the opportunity to leave a lasting mark on a complex organisation is real.This role suits a leader who is equally at home in a technical design review and a boardroom conversation. You will bring strong engineering depth, sharp commercial judgement and the ability to build and inspire a cross-functional team that delivers.About the role:Lead the identification, design and deployment of AI use cases across business functions, owning the full journey from concept to productionDefine and own the architecture across AI/ML, GenAI and automation systems at enterprise scaleBuild, lead and scale a cross-functional AI engineering team, setting the standard for how the function operates and deliversEstablish MLOps frameworks, deployment standards and governance practices that ensure AI systems are reliable, secure and maintainablePartner with product and business stakeholders across the Group to drive adoption, measure ROI and ensure AI initiatives deliver tangible commercial valueAct as the senior technical voice on AI across the organisation, influencing decisions at Group leadership level About you:10 to 15 years or more of experience in engineering, AI or large-scale technology delivery, with a clear track record of deploying AI and ML systems into production at enterprise scaleStrong hands-on understanding of LLMs, orchestration frameworks, MLOps and modern AI architecture patternsSolid experience across cloud platforms including AWS, Azure or GCP, alongside APIs and data pipeline designProven ability to lead technical teams and engage senior stakeholders with equal confidence and credibilityCommercially minded, with the ability to connect technical decisions to business outcomes and articulate value clearlyIndustry background is open, but experience within complex, multi-business-unit organisations is a strong advantageBased in the UAE or willing to relocate

Senior Business Analyst - Contract - 12 MonthsRate: Up to £750 per dayIR35: InsideDuration: 12 MonthsLocation: Newcastle / Hybrid (c. 60% onsite)The role:A public sector organisation is seeking a Senior Business Analyst to support the delivery of a high-profile, user-focused service.This role sits within a multidisciplinary environment, working at pace to analyse, shape and deliver business and digital change. You will play a key role in ensuring services are designed around user needs, aligned to organisational goals, and deliver measurable outcomes. Experience requirements & Responsibilities:Lead business analysis activities across complex programmes and services.Elicit, define and translate business and user needs into clear requirements.Analyse current processes, identify improvement opportunities and define target operating models.Support the design, development and testing of new services and solutions.Assess impacts of change, including business, policy and operational constraints.Define success measures and ensure delivery aligns to expected outcomes and benefits.Collaborate within multidisciplinary Agile teams to support iterative delivery.Engage and influence stakeholders across business and technical teams. Essential:Proven experience operating as a Senior Business Analyst within digital environments.Strong stakeholder management and communication skills.Experience working within Agile or similar delivery frameworks.Ability to analyse complex problems and drive solutions through to delivery.Experience translating business goals into clear requirements and outcomes.Understanding of operating models, business change and service design principles. If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.

We have partnered with a growth-stage enterprise SaaS business to hire an AI Product Manager. This company is not bolting AI onto an existing product and hoping for the best. They are rebuilding how their platform thinks, automates and serves users, and they need a PM who can lead that from the front. With serious engineering talent already in place and a leadership team that understands what AI can actually do, the conditions here are genuinely rare.This role suits someone who sits comfortably between the technical and the commercial. You understand how AI systems work well enough to have credible conversations with engineers, and you understand users well enough to know which problems are actually worth solving.About the role:Own the AI product roadmap, defining and prioritising features that embed AI meaningfully into the core platform experienceWork closely with engineering, data science and design to take AI capabilities from concept through to shipped, production-grade featuresConduct deep user and market research to identify where AI can reduce friction, automate workflows and create measurable value for enterprise customersDefine success metrics for AI features, building evaluation frameworks that go beyond vanity metrics to measure real user and business impactTranslate complex AI capabilities into clear product narratives that resonate with customers, sales and executive stakeholdersStay ahead of the rapidly evolving AI landscape, identifying emerging techniques and tools that could strengthen the productPartner with GTM and customer success teams to ensure AI features land well and drive adoption across the customer base About you:3 to 5 years of product management experience, with at least some of that spent shipping AI or ML powered features in a production environmentStrong enough technical understanding of AI and ML concepts to work as a genuine peer to engineering and data science teamsProven track record of owning and delivering features that created measurable value for enterprise customersComfortable operating in a fast-moving, growth-stage environment where priorities evolve and ambiguity is part of the jobSharp analytical mindset with experience using data to inform prioritisation, evaluate feature performance and drive decisionsExcellent communicator with the ability to align technical teams, commercial stakeholders and senior leadership around a shared visionFamiliarity with LLMs, agentic systems or workflow automation is a strong advantageBased in the US or authorised to work in the United States

We have partnered with an established fintech business to hire a BI Engineer. This is a business that runs on data. Decisions across product, commercial and operations are driven by insight, and the BI function sits right at the centre of that. With a mature data environment and a leadership team that genuinely values what good BI looks like, this is a strong platform for someone who wants to do their best work.About the role:Design, build and maintain scalable data models and BI solutions that serve commercial, product and operational teams across the businessOwn the development and continuous improvement of dashboards and reporting tools, ensuring they are accurate, performant and genuinely usefulWork closely with stakeholders to understand reporting requirements and translate them into clean, well-structured analytical solutionsBuild and maintain data pipelines that feed BI layers, working alongside data engineering to ensure reliability and consistencyDefine and enforce semantic layer standards, metrics definitions and data documentation that create a single source of truthIdentify opportunities to improve data accessibility, reduce manual reporting and drive self-serve analytics across the organisation About you:4 to 6 years of experience in BI engineering or a closely related analytics engineering roleStrong proficiency in SQL and experience working with modern data platforms such as Snowflake, BigQuery or RedshiftHands-on experience with BI tools such as Looker, Power BI or Tableau, including building production-grade dashboards and reportsSolid understanding of data modelling principles including dimensional modelling and experience with dbt or equivalent transformation toolingComfortable working directly with business stakeholders to gather requirements and deliver solutions that drive decisionsFintech, banking or financial services experience is advantageous

We have partnered with a leading omnichannel retailer in the UAE to appoint a Head of Data. This business operates across physical and digital channels, generating rich data across customer behaviour, inventory, supply chain and commercial performance. The opportunity is to bring that data together, make it trustworthy and turn it into something the business uses to compete.This role suits a seasoned data leader who can set strategy, shape technical direction and build a function that delivers real commercial value across a complex retail organisation.About the role:Define and lead the data strategy, aligning capability with commercial priorities across physical and digital channelsBuild and scale a data function spanning engineering, analytics, data science and governanceOwn the architecture and evolution of the data platform, ensuring it supports advanced analytics and AI use cases at scaleDrive the development of a unified customer view connecting online and offline behaviour across the full retail journeyEstablish data governance frameworks and quality standards that make data trustworthy across the organisationPartner with commercial, marketing, supply chain and technology leadership to embed data-driven decision making at every level About you:12 or more years of experience in data leadership, with a track record of building and scaling data functions within complex organisationsDeep understanding of the retail data landscape including customer analytics, merchandising, supply chain and omnichannel measurementStrong technical grounding across cloud data platforms, data modelling and analytics infrastructure, with experience in tools such as Snowflake, Databricks or dbtProven ability to lead high-performing teams across engineering, analytics and data science disciplinesCommercially minded, with the ability to connect data initiatives directly to revenue, margin and customer outcomesCredible at C-Suite level with strong stakeholder management skills

Job title: Fidessa Application Support Analyst - Equities Trading Location: Bromley - Hybrid working Salary: £85,000 - £100,000 + Benefits + Bonus Start date: ASAP Working hours: 40 hours per week We are working with one of the largest global BFSI organisations, operating at scale across international markets, who are looking for an experienced Fidessa Application Support Analyst to support and enhance their front office trading platforms. In this role, the Fidessa Application Support Analyst will be working in a fast-paced front office environment, supporting equities trading systems and contributing to the stability and performance of business-critical platforms.The Fidessa Application Support Analyst will be involved across the full trade lifecycle, working closely with traders and technology teams to resolve issues, drive improvements and support ongoing regulatory and system changes. This is an excellent opportunity to join a highly respected organisation where you will gain exposure to complex, large-scale trading environments and modern technologies.Essential skills - Fidessa Application Support Analyst:Strong experience with FidessaEquities / Global Markets knowledgeUnderstanding of FIX ProtocolJava & Linux experienceScripting (Python, Shell, or TCL)Experience with SQL databases (Sybase / MS SQL)Messaging frameworks (IBM MQ, TIBCO or similar) Desirable skills - Fidessa Application Support Analyst:Experience across the full trade lifecycleExposure to regulatory changeAgile / Jira experienceUnderstanding of DevOps or automation tools If you're an experienced Fidessa Application Support Analyst looking to join a leading global organisation and work on high-impact trading systems, please apply with your most up to date CV to be considered.

Senior Data Quality Analyst (SQL / Power BI)Salary: Up to £52,000 + BenefitsLocation: Central London - Hybrid (2 days per week onsite)Working Hours: 35 hours per week - Full timeJob Type: PermanentA respected organisation is seeking an experienced Senior Data Quality Analyst to drive the improvement of critical asset information across a large and complex property portfolio.This Senior Data Quality Analyst role will focus on leading the strategic roadmap for data quality, ensuring asset data is accurate, trusted and fit for regulatory reporting, operational decision-making and long-term planning.Responsibilities for the Senior Data Quality Analyst:Lead the development and delivery of the Asset Data Quality Roadmap with clear milestones and measurable outcomesDrive large-scale data cleansing, reconciliation and validation programmesOwn and improve data quality within the Asset Management System (AMS)Conduct root cause analysis of data issues and implement sustainable solutionsDevelop data standards, controls and monitoring frameworksBuild and maintain dashboards, scorecards and reporting packs using Power BI and SQLPresent insights and progress updates to senior stakeholdersDeliver training workshops and support colleagues on best practice in data qualityWork with IT, Asset Management and third parties on integrations and migrationsSupport audits, assurance reviews and compliance reportingEssential Skills for the Senior Data Quality Analyst:Advanced experience with SQL, Power BI and data reconciliation toolsData quality, cleansing or transformation experienceStrong analytical skills with the ability to interpret large datasetsKnowledge of data governance frameworks and controlsExperience delivering process improvement and change initiativesStrong stakeholder engagement and communication skillsAbility to translate technical findings into clear business insightDesirable Skills for the Senior Data Quality Analyst:Any relevant certificationsExperience with asset management systems and data migrationsIf you are an experienced data professional looking to lead meaningful improvement across a large asset estate, this role offers visible impact, strong stakeholder exposure and long-term career value.Senior Data Quality Analyst / Data Analyst / Senior Data Analyst