Quantios Management Services Ltd.

A leading software solutions provider in the United Kingdom is seeking a Developer to join their Agile team. You will be responsible for creating scalable software solutions, collaborating closely with team members, and ensuring code quality through testing and review processes. The ideal candidate will have a Bachelor's degree in Computer Science, strong proficiency in technologies such as Python and React, and a desire to continuously learn and improve. This role offers opportunities for growth in a dynamic and supportive environment.

Quantios is a leading provider of software solutions for the trust administration and corporate services industry. With over 30 years of experience, we empower our clients with innovative technology that enhances governance, operations, and investment on a global scale. At Quantios, we are committed to fostering a diverse and inclusive workplace where creativity, learning, and collaboration drive success. As a Developer, you will be part of a cross-functional Agile team building modern, scalable software solutions. You will be responsible for developing and maintaining application features, working with senior developers and architects to implement well-structured and secure systems. You will also participate in planning and design activities, continuously improving your technical skills while contributing to the team's success. Job Responsibilities: Software Development: Write clean, efficient, and well-tested code that meets requirements and follows established patterns. Implement application features and enhancements as part of a collaborative development team. Participate in design discussions and contribute ideas for improvements in functionality, performance, and maintainability. Agile Collaboration: Work closely with Product Owners, Scrum Masters, and other developers to refine backlog items, estimate work, and plan sprints. Actively participate in Agile ceremonies, including daily stand-ups, sprint planning, reviews, and retrospectives. Communicate clearly with team members and stakeholders, contributing to a transparent and collaborative work environment. Code Quality and Testing: Write unit tests and contribute to integration and automated test suites. Participate in peer code reviews and apply feedback to improve code quality. Follow established development and security standards, and help identify opportunities for improvement. Learning and Growth: Stay current with emerging technologies, tools, and practices relevant to your area of expertise. Learn from senior team members and mentors while taking ownership of your personal development. Take initiative to troubleshoot issues, suggest enhancements, and contribute to team knowledge-sharing. Job Requirements: Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent practical experience. Strong track of experience in software development, ideally in a SaaS or enterprise environment. Proficiency in Python, React, Angular C#, .NET, HTML, TypeScript and full stack development. Familiarity with Agile development practices, version control systems (e.g., Git), and CI/CD pipelines. Solid understanding of software development principles, object-oriented programming, and secure coding practices. Desire to learn advanced design patterns, architecture concepts, and domain-specific challenges.

Quantios is a leading provider of software solutions for the trust administration and corporate services industry. With over 30 years of experience, we empower our clients with innovative technology that enhances governance, operations, and investment on a global scale. At Quantios, we are committed to fostering a diverse and inclusive workplace where creativity, learning, and collaboration drive success. As a Data Architect at Quantios, you will be responsible for designing the enterprise data architecture underpinning Quantios Insights, our next-generation data platform that unifies data from all Quantios products and powers analytics, regulatory insights, MCP automation, and AI-driven capabilities. You will define the architectural standards, models, integration patterns, and governance frameworks that ensure the platform is reliable, scalable, secure, and adaptable to diverse customer technology stacks. This role also plays a central part in the internal AI Enablement Centre of Excellence, ensuring high-quality datasets flow into RAG pipelines, LLM evaluation frameworks, and strategic AI initiatives across the business. You will collaborate closely with Data Engineers, LLMOps Engineers, Product Owners, Portfolio Architects, and engineering teams to shape Quantios' data and AI ecosystem. Job Responsibilities: Enterprise Data Architecture & Strategy Define the architectural vision, principles, and standards for Quantios' enterprise data platform aligned to the business and product strategy. Own and evolve the data architecture for Quantios Insights, including data ingestion patterns, lakehouse design, semantic modelling, and analytical layers. Define architectural guardrails and reference patterns for Fabric, Databricks, and Snowflake to support customer deployment flexibility. Contribute to the long-term roadmap for data and AI capabilities across Quantios products and internal teams. Data Modelling & Lakehouse Design Lead the design of domain-driven canonical data models for all Quantios products and cross-product datasets. Architect medallion/lakehouse models (bronze, silver, gold) using Fabric, Databricks, or Snowflake. Ensure semantic models, KPIs, and analytical structures (e.g., Power BI, Fabric semantic models) are consistent, scalable, and aligned with business requirements. Guide Data Engineers in applying architectural patterns and modelling best practices. Integration Architecture & Ingestion Patterns Design data ingestion frameworks for distributed Quantios products using batch, streaming, event-driven, or API-based patterns. Define common integration templates for customer and partner ecosystems. Support ingestion of structured, semi-structured, unstructured, and log/event telemetry. Ensure data flows are resilient, observable, and architected for reliability and cost efficiency. Governance, Security & Compliance Define data governance frameworks covering metadata, lineage, data catalogue, access management, and quality standards. Guide implementation of Purview, Unity Catalog, or Snowflake governance tooling depending on platform. Ensure that data architecture adheres to Quantios' security, privacy, and regulatory requirements. Define patterns for sensitive data handling, encryption, and secure data access. AI & Advanced Analytics Enablement Architect dataset structures to support AI, including RAG pipelines, vector search, LLM training/evaluation sets, and semantic enrichment layers. Collaborate with LLMOps Engineers to ensure high-quality, well-structured data flows into embeddings pipelines and retrieval systems. Support MCP-based data access patterns by designing structured data interfaces and schemas tailored for agent use. Define patterns for unstructured data processing and preparation for AI workloads. Collaboration & Technical Leadership Work closely with Portfolio Architects to ensure alignment between product architecture, data architecture, and platform strategy. Collaborate with Product Owners to translate analytical and AI requirements into data architectural designs. Provide architectural oversight to Data Engineers, guiding implementation consistency and quality. Participate in technical reviews, solution assessments, and architectural governance forums. Customer & Partner Enablement Define customer deployment reference architectures for Fabric, Databricks, and Snowflake. Support customer discussions as a subject matter expert on analytics, AI architectures, and integration of Quantios data into client environments. Ensure that Quantios Insights can be deployed flexibly and securely in customer tenancies while maintaining architectural integrity. Continuous Improvement & Innovation Stay current with emerging trends in data engineering, AI data management, lakehouse technologies, governance, and observability. Evaluate new tools, patterns, and technologies that enhance the data and AI platform capabilities. Promote a culture of continuous improvement within the data engineering and broader architecture teams. Job Requirements: Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field; or equivalent experience. 7+ years of experience in data engineering, data architecture, or enterprise architecture roles. Strong expertise with Microsoft Fabric, Azure Databricks, Snowflake, and modern Lakehouse/data platform architectures. Deep experience designing ETL/ELT pipelines, medallion architectures, and semantic models. Strong proficiency in SQL, Python, and cloud-based data engineering tooling. Experience with metadata and governance tools (Purview, Unity Catalog, Snowflake Governance, Fabric Governance). Experience designing data platforms to support analytics, BI, operational reporting, and AI/ML workloads. Understanding of LLM/RAG data preparation, unstructured data processing, and vectorisation workflows is advantageous. Strong communication skills with the ability to collaborate with engineering, architecture, product, and customer teams. Ability to work across cloud environments and support multi-tenant enterprise customer requirements.

Quantios is a leading provider of software solutions for the trust administration and corporate services industry. With over 30 years of experience, we empower our clients with innovative technology that enhances governance, operations, and investment on a global scale. At Quantios, we are committed to fostering a diverse and inclusive workplace where creativity, learning, and collaboration drive success. As a Data Architect at Quantios, you will be responsible for designing the enterprise data architecture underpinning Quantios Insights, our next-generation data platform that unifies data from all Quantios products and powers analytics, regulatory insights, MCP automation, and AI-driven capabilities. You will define the architectural standards, models, integration patterns, and governance frameworks that ensure the platform is reliable, scalable, secure, and adaptable to diverse customer technology stacks. This role also plays a central part in the internal AI Enablement Centre of Excellence, ensuring high-quality datasets flow into RAG pipelines, LLM evaluation frameworks, and strategic AI initiatives across the business. You will collaborate closely with Data Engineers, LLMOps Engineers, Product Owners, Portfolio Architects, and engineering teams to shape Quantios' data and AI ecosystem. Job Responsibilities: Enterprise Data Architecture & Strategy Define the architectural vision, principles, and standards for Quantios' enterprise data platform aligned to the business and product strategy. Own and evolve the data architecture for Quantios Insights, including data ingestion patterns, lakehouse design, semantic modelling, and analytical layers. Define architectural guardrails and reference patterns for Fabric, Databricks, and Snowflake to support customer deployment flexibility. Contribute to the long-term roadmap for data and AI capabilities across Quantios products and internal teams. Data Modelling & Lakehouse Design Lead the design of domain-driven canonical data models for all Quantios products and cross-product datasets. Architect medallion/lakehouse models (bronze, silver, gold) using Fabric, Databricks, or Snowflake. Ensure semantic models, KPIs, and analytical structures (e.g., Power BI, Fabric semantic models) are consistent, scalable, and aligned with business requirements. Guide Data Engineers in applying architectural patterns and modelling best practices. Integration Architecture & Ingestion Patterns Design data ingestion frameworks for distributed Quantios products using batch, streaming, event-driven, or API-based patterns. Define common integration templates for customer and partner ecosystems. Support ingestion of structured, semi-structured, unstructured, and log/event telemetry. Ensure data flows are resilient, observable, and architected for reliability and cost efficiency. Governance, Security & Compliance Define data governance frameworks covering metadata, lineage, data catalogue, access management, and quality standards. Guide implementation of Purview, Unity Catalog, or Snowflake governance tooling depending on platform. Ensure that data architecture adheres to Quantios' security, privacy, and regulatory requirements. Define patterns for sensitive data handling, encryption, and secure data access. AI & Advanced Analytics Enablement Architect dataset structures to support AI, including RAG pipelines, vector search, LLM training/evaluation sets, and semantic enrichment layers. Collaborate with LLMOps Engineers to ensure high-quality, well-structured data flows into embeddings pipelines and retrieval systems. Support MCP-based data access patterns by designing structured data interfaces and schemas tailored for agent use. Define patterns for unstructured data processing and preparation for AI workloads. Collaboration & Technical Leadership Work closely with Portfolio Architects to ensure alignment between product architecture, data architecture, and platform strategy. Collaborate with Product Owners to translate analytical and AI requirements into data architectural designs. Provide architectural oversight to Data Engineers, guiding implementation consistency and quality. Participate in technical reviews, solution assessments, and architectural governance forums. Customer & Partner Enablement Define customer deployment reference architectures for Fabric, Databricks, and Snowflake. Support customer discussions as a subject matter expert on analytics, AI architectures, and integration of Quantios data into client environments. Ensure that Quantios Insights can be deployed flexibly and securely in customer tenancies while maintaining architectural integrity. Continuous Improvement & Innovation Stay current with emerging trends in data engineering, AI data management, lakehouse technologies, governance, and observability. Evaluate new tools, patterns, and technologies that enhance the data and AI platform capabilities. Promote a culture of continuous improvement within the data engineering and broader architecture teams. Job Requirements: Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field; or equivalent experience. 7+ years of experience in data engineering, data architecture, or enterprise architecture roles. Strong expertise with Microsoft Fabric, Azure Databricks, Snowflake, and modern Lakehouse/data platform architectures. Deep experience designing ETL/ELT pipelines, medallion architectures, and semantic models. Strong proficiency in SQL, Python, and cloud-based data engineering tooling. Experience with metadata and governance tools (Purview, Unity Catalog, Snowflake Governance, Fabric Governance). Experience designing data platforms to support analytics, BI, operational reporting, and AI/ML workloads. Understanding of LLM/RAG data preparation, unstructured data processing, and vectorisation workflows is advantageous. Strong communication skills with the ability to collaborate with engineering, architecture, product, and customer teams. Ability to work across cloud environments and support multi-tenant enterprise customer requirements.

A leading data solutions firm in the UK is looking for a Data Engineer to build and manage data pipelines for its enterprise platform. Responsibilities include designing ETL processes, ensuring data quality, and collaborating across teams for optimal data solutions. Candidates should have a Bachelor's degree in a relevant field and over 4 years of experience in data engineering, with strong skills in Python, SQL, and familiarity with cloud platforms like Azure. This role offers the chance to work on innovative data projects and enhance analytics capabilities.

Overview As a Data Engineer at Quantios, you will play a critical role in building and maintaining the data foundation for Quantios Insights, our enterprise data platform that integrates data from all Quantios products and powers advanced analytics, MCP-based automation, and AI-driven use cases. You will design and operate robust data pipelines, ensure data quality and governance, and collaborate closely with developers, architects, and business stakeholders to deliver curated, reliable, and scalable datasets. Job Responsibilities Data Pipeline Engineering Design, build, and maintain scalable ETL/ELT pipelines using Microsoft Fabric, Databricks, or Snowflake. Develop data ingestion processes for structured, semi-structured, and event-based data from Quantios products. Build scalable dataflows using Python, SQL, PySpark, or similar technologies. Implement automated data refresh, validation, and monitoring processes. Ensure pipelines are efficient, cost-effective, and aligned with enterprise data architecture standards. Data Modelling & Lakehouse Architecture Implement lakehouse/medallion architecture (bronze, silver, gold layers). Design and maintain semantic data models for analytics and AI-ready datasets. Optimize datasets for Power BI, Fabric semantic models, and other analytics tools. Collaborate with architects to maintain modelling standards and best practices. Data Quality & Governance Implement data validation, schema enforcement, and profiling to maintain high-quality datasets. Maintain data lineage using governance tools such as Fabric Data Governance, Databricks Unity Catalog, or Snowflake. Support metadata management and cataloguing tools such as Purview. Ensure compliance with data security, governance, and regulatory standards. AI & RAG Data Preparation Prepare structured and unstructured datasets for AI, RAG pipelines, and LLM evaluation. Collaborate with LLMOps engineers to provide high-quality training and validation datasets. Develop curated datasets for AI agents, semantic search, and internal experimentation. Support vectorisation workflows, chunking strategies, and semantic data preparation. Platform Delivery & Customer Enablement Support customer deployments of Quantios Insights across enterprise data platforms. Contribute to reference architectures and platform configuration guidelines. Work with Product Owners and Professional Services to streamline customer data onboarding. Assist customers in aligning their data environments with Quantios product structures. Collaboration & Agile Delivery Work closely with architects, product owners, and engineering teams to deliver data solutions. Translate analytical and AI requirements into scalable data engineering solutions. Participate in Agile ceremonies including backlog refinement, estimation, and sprint planning. Continuous Improvement Stay updated with emerging technologies in data engineering, analytics, and AI platforms. Identify opportunities to improve data reliability, performance, and automation. Contribute to internal best practices and promote high-quality engineering standards. Job Requirements Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related field; or equivalent industry experience. 4+ years of experience in data engineering, preferably within cloud-based or enterprise environments. Hands-on experience with one or more: Microsoft Fabric, Azure Databricks, Snowflake. Strong skills in Python and SQL, with exposure to PySpark or Spark SQL. Experience with Azure Data Lake Storage, Delta Lake, ELT/ETL pipelines, and medallion architecture. Familiarity with Power BI, Fabric semantic models, or equivalent BI modelling tools. Practical experience integrating with CI/CD tools, especially Azure DevOps. Understanding of data governance, cataloguing, and metadata management (e.g., Purview, Unity Catalog). Exposure to AI-related data preparation (RAG datasets, embeddings, unstructured text processing) is a plus. Excellent problem-solving skills, ability to work across teams, and strong communication skills.

Quantios was formed from the merger of TrustQuay and Viewpoint and brings together the unique but complementary strengths of both businesses to deliver a truly global presence, deep industry knowledge and strong delivery capability to meet client challenges, no matter they are based. We have over 30 years' experience in servicing the specific technology needs of the Trust, Private Client, Corporate Services and Fund Administration sectors. We engage closely with stakeholders across the industry on regulatory, operational and other matters via our events programme, customer advisory groups and our active memberships of key industry bodies throughout the world. The role of the Support Developer (G3) is to deliver outstanding service to customers that are using Quantios G3. This will include development of enhancements, answering how-to questions, resolving faults and providing technical upgrade assistance and troubleshooting. Job Responsibilities Responsible for the investigation of issues logged by customers and recommending resolution options Liaise with the customer via telephone and desktop sharing to aid the investigation of issues Ensure delivery against agreed customer service levels Work with customers to review & progress open customer issues when required. Manage and maintain the accuracy and status of tickets logged in our centralised service desk Enforce commercial procedures to capture and bill for work done outside of maintenance scope Self-manage personal workload of issues balanced against customer service level agreements, timelines and business impact To provide 3rd level / code investigation for issues, when appropriate. Document detailed recreation steps and provide additional relevant information including business impact Define high-level requirements arising out of a customer enhancement request To undertake the develop of enhancement requests. Undertake QA for customer issues that are subsequently resolved via a coding change. Develop, maintain and extend business, product & technical knowledge Participation in on call / shift arrangements as required Exceed expectations throughout all customer interactions and help to grow overall satisfaction among our customer-base Job Requirements 5+ years' experience in providing customer service / Application support and/or application development. COBOL development experience is a MUST as required for this role. Excellent customer service skills. Able to confidently lead conversations, demonstrate empathy, set appropriate expectations, and handle workload with the needs of the customer in mind. Excellent problem-solving skills, including attention to detail, a pragmatic approach and the ability to identify multiple options and recommend preferred solutions. Excellent and confident interpersonal and communication skills (both written and oral) to enable effective management of customer expectations in a professional, methodical and mature manner. Strong Technical background in the following: iSeries experience iSeries OS/400 Application support experience Ability to cover extended support on ROTA basis Technical experience in the following would be beneficial: Visual Basic 6 Java RPG The ideal candidate will also have some practical Financial Services industry experience, with emphasis on Wealth Management. Note Ability to commute to Guernsey, Jersey, London, or Fleet Offices (2 days a week) Ability to work from the Guernsey Office when appropriate

A financial technology firm in the UK seeks a Support Developer (G3) to deliver outstanding service to customers using Quantios G3. Responsibilities include investigating customer issues, developing enhancements, and managing service tickets. Candidates should have over 5 years of experience in customer service and COBOL development, along with a strong technical background in iSeries. The role requires excellent problem-solving and interpersonal skills, with a commitment to exceeding customer expectations.