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Our client with a three days in office two from home arrangement seek an experienced AI & Automation Engineer .They are a global growing business providing software services to deliver integrated business management solutions designing and delivering integrated ERP solutions to their distribution trade customers . ( salary £70000 but some flexibility upwards for the right person ) . Client provides specialist software, services and support to deliver fully integrated trading and business management solutions to companies in the distributive trade They are looking for new ways of working automation , they have their own LLMs . Previous experience of an Azure migration would be very much of interest , relaxed work environment , looking for a techy , they will ask me your level of automation experience , as looking for hands on in that area and will ask what migration you have worked on and any mentoring you've been involved with . This can be based out of their Newcastle office or Berkshire office , Yorkshire office or Nottingham which ever suits best . Your colleagues are mainly in Newcastle . This is a senior technical leadership role within their AI & Automation team, where you'll help shape how they use automation, Infrastructure as Code, and AI across Azure and Oracle Cloud environments. The focus is on designing and delivering large-scale automation solutions, AI agents, and cloud engineering improvements that reduce manual effort, improve resilience, and speed up recovery, while also mentoring other engineers and driving adoption of AI-first ways of working. We're looking for someone with strong hands-on experience in cloud automation, Terraform/Pulumi, CI/CD, scripting, security, and AI-powered tooling who enjoys solving complex technical challenges and influencing engineering standards across the organisation As a technical lead you will be within their shared-service AI and automation team, which provides AI capabilities, automation and tooling to Cloud Operations and associated teams across both Microsoft Azure and Oracle Cloud Infrastructure (OCI). The Senior AI & Automation Engineer designs and delivers complex automation, Infrastructure as Code and domain-specific AI agents, and sets the technical direction for how they industrialise provisioning and improve recovery times across their online products and services. The role mentors engineers, leads by example on security and quality, and drives the adoption of an AI-first, automation-first approach through influence, knowledge-share and training. You would identify where automation and Infrastructure as Code will deliver the greatest resilience and efficiency gains. Experience • 10 years' experience +, • Extensive hands-on automation and scripting experience across multiple languages, • Advanced Infrastructure as Code across Azure and OCI (Terraform, Bicep), • Proven design and delivery of CI/CD and automation solutions, • Experience building and operating AI / LLM-assisted tooling or agents, • Strong grasp of security, identity (Microsoft Entra / IAM) and secrets management, • Understanding of resilience, DR and recovery objectives (RTO/RPO, failover), • A track record of mentoring engineers and leading technical work Nice to have • Experience applying FinOps to optimise cloud cost through automation, • Familiarity with ISO 27001, SOC 2 or GDPR control expectations, • Experience contributing to engineering standards or reusable patterns, • Curiousity about how AI can enhance productivity, decision-making and customer outcomes, open to learning and adapting . JBRP1_UKTJ

Job Title Senior Investment Data Specialist Department Investment Projects and Improvements-BG-UK Overview of Department The Investment Projects and Improvements team support colleagues in the Investment Department to improve efficiency, reduce risk, and implement changes to cope with changing client or regulatory requirements. A key part of this is supporting the development of our investment strategies and the capabilities we offer clients. The team's main focus is to reduce the burden on investment staff from excessive non-investment related activities such as project work or committee membership. Purpose of Role As a Senior Investment Data Specialist, you'll play a key role in developing our Investment Data capability, combining investment domain knowledge with data engineering, data modelling and analytical expertise. You'll work closely with investors, analysts, risk colleagues and technical teams to translate business requirements into trusted, reusable and well-designed data products, with Snowflake as our primary investment data platform. This is a hands-on, individual-contributor role with a high degree of autonomy. It is deliberately neither a pure data-engineering role nor a quantitative-research role; it sits between the two and is valued for exactly that. You'll bring an understanding of how investment data is created and consumed, alongside strong technical and analytical capability. You'll work with large and complex datasets, develop effective data-quality controls and automate the detection and resolution of data issues, helping ensure investment data is accurate, reliable and ready to support decision making. Alongside hands-on delivery, you'll contribute to the future direction of our Investment Data strategy and platform, including how trusted data is made available through Power BI, Streamlit, SQL, Python, APIs, MCP-based services and increasingly LLM and AI-enabled applications. • Drive the design and delivery of high-quality Investment Data products and act as domain owner for those products in line with our data governance framework, sharing detailed, investment-specific data knowledge., • Work closely with investment teams to understand how data is consumed and translate their requirements into appropriate data products and features., • Design practical, reusable data models and semantic structures that support multiple consumption patterns., • Ensure data products have clear definitions, appropriate data-quality controls, lineage and documentation., • Contribute to the evolution of the Investment Data platform, including engineering standards, modelling patterns and target architecture., • Help define how trusted investment data is exposed through BI, analytical, application and AI-enabled channels., • Work collaboratively with Data Engineers, Data Analysts, Data Solutions Analysts, architecture colleagues and other technology specialists., • Identify, evaluate and help onboard new traditional and alternative datasets, assessing quality, coverage, methodology, long-term value, cost and compliance considerations., • Trusted investment data: Investment teams have access to accurate, reliable and well-governed data products that support effective investment analysis and decision making., • Reusable data products: Investment requirements are translated into well-designed data models and products that are understandable, reusable and able to support multiple consumption patterns., • Strong data quality: Effective controls, validation and monitoring identify data issues early, with clear definitions, lineage and documentation supporting confidence in the data., • Effective investment and technology partnership: Investment professionals and technical teams work effectively together, with complex investment requirements translated into practical data solutions., • Future-ready capability: The Investment Data platform and its products continue to evolve, making trusted data available effectively through analytical, application and emerging AI-enabled channels. Deep, practical knowledge of investment data and how it supports the investment lifecycle, including areas such as instruments, research, portfolios, holdings, valuations, trading, benchmarks, performance, risk and company fundamentals and estimates. Experience working within, embedded with or directly supporting a systematic or quantitative investment or research team at an asset manager, hedge fund, bank or specialist provider. Experience in a data engineering, data analytics, quantitative, investment data or similar data-focused role, including designing, building or supporting analytical data products or reusable datasets. Strong Python (including pandas and NumPy) and SQL skills, alongside experience with version control, testing practices and building data-quality, validation and monitoring workflows. Strong practical understanding of data modelling, data products, pipelines and semantic models, including data governance, metadata, lineage, quality and entitlement considerations. Experience with modern cloud data platforms and analytical architectures, with the ability to understand complex data flows, dependencies and existing platform designs. Snowflake knowledge and experience is highly desirable, with experience of platforms such as Databricks also relevant. Hands-on experience with major investment data vendors, for example Bloomberg, LSEG, FactSet, S&P Global or MSCI, including their data models and the ability to evaluate datasets objectively. Experience delivering data for reporting, analytics or applications, including experience with Power BI, Microsoft Fabric, Streamlit, APIs or similar technologies, alongside an understanding of emerging approaches to data consumption through LLMs, AI applications and agent/MCP-based services. Ability to translate investment business requirements into practical data solutions and communicate effectively with both investment professionals and technical specialists. Ability to balance short-term delivery with longer-term platform and strategic considerations. We’re looking for someone who combines strong investment domain knowledge with credible technical or quantitative capability. You’ll be comfortable moving between conversations with investment professionals and detailed discussions about data, models and technology, translating complex requirements into practical solutions. You’ll be pragmatic and product-oriented, with a focus on creating data products that are understandable, reusable and sustainable rather than solving individual requirements in isolation. You’ll enjoy working hands-on with complex data while also thinking about how the Investment Data platform, its architecture and the ways in which data is consumed should evolve over time. You’ll bring curiosity and sound judgement to new datasets, technologies and ways of working, balancing immediate delivery with longer-term value, quality and sustainability. You don't need equal depth across investment expertise, data engineering and quantitative capability, but you'll demonstrate strength across at least two of these areas and the ability and appetite to develop in the third. • Data literacy, • Adaptability, • Systems thinking, • Enabling others, • Digital effectiveness (including AI) Closing Date October 27, 2026 Should you choose to use AI tools to support your application, we ask that you do this thoughtfully. We encourage you to ensure your application reflects your own voice, experience, and motivations. We value authenticity and want to understand your individual strengths and perspectives. At Baillie Gifford, we are committed to fostering an inclusive and respectful culture in which each of our colleagues can thrive and develop. We believe that our clients are best served by a diverse workforce with the experiences, ideas and perspectives that this brings. If you are currently working at Baillie Gifford as an employee or contractor please apply to this job from the firm's Workday internal career site. Baillie Gifford is an independent, private partnership, which allows us to focus entirely on our clients and their investments. It helps our stability, motivation and culture and enables us to take a long-term view on all that we do, including staff development, client relationships and investing. And just like with our investments, we’re good at spotting potential in our employees. Join us and we’ll actively support you to explore the possibilities of your career and interests. We’ll give you on-going training and development, all to ensure you have valuable opportunities to grow your unique talents and pursue your goals. We’re also incredibly committed to the wellbeing of our employees. This is just a taste of our culture. One that was created by the partners who own and will work with you every day in the firm. People who are always on hand to hear your ideas and suggestions of how to make Baillie Gifford an even better place to be. So, if this sounds like somewhere you could realise your full potential, then our next investment could be you. If you have any questions or issues regarding your application, please contact us at . For more detail on careers at Baillie Gifford visit our careers site at: en/uk/careers This page hosts our regular vacancies - to view our graduate and internship vacancies follow this link. #J-18808-Ljbffr

Job TitleSenior Investment Data Specialist## DepartmentInvestment Projects and Improvements-BG-UK## Overview of DepartmentThe Investment Projects and Improvements team support colleagues in the Investment Department to improve efficiency, reduce risk, and implement changes to cope with changing client or regulatory requirements. A key part of this is supporting the development of our investment strategies and the capabilities we offer clients. The team's main focus is to reduce the burden on investment staff from excessive non-investment related activities such as project work or committee membership.## Purpose of RoleAs a Senior Investment Data Specialist, you'll play a key role in developing our Investment Data capability, combining investment domain knowledge with data engineering, data modelling and analytical expertise. You'll work closely with investors, analysts, risk colleagues and technical teams to translate business requirements into trusted, reusable and well-designed data products, with Snowflake as our primary investment data platform. This is a hands-on, individual-contributor role with a high degree of autonomy. It is deliberately neither a pure data-engineering role nor a quantitative-research role; it sits between the two and is valued for exactly that. You'll bring an understanding of how investment data is created and consumed, alongside strong technical and analytical capability. You'll work with large and complex datasets, develop effective data-quality controls and automate the detection and resolution of data issues, helping ensure investment data is accurate, reliable and ready to support decision making. Alongside hands-on delivery, you'll contribute to the future direction of our Investment Data strategy and platform, including how trusted data is made available through Power BI, Streamlit, SQL, Python, APIs, MCP-based services and increasingly LLM and AI-enabled applications.## Responsibilities Drive the design and delivery of high-quality Investment Data products and act as domain owner for those products in line with our data governance framework, sharing detailed, investment-specific data knowledge. Work closely with investment teams to understand how data is consumed and translate their requirements into appropriate data products and features. Design practical, reusable data models and semantic structures that support multiple consumption patterns. Ensure data products have clear definitions, appropriate data-quality controls, lineage and documentation. Contribute to the evolution of the Investment Data platform, including engineering standards, modelling patterns and target architecture. Help define how trusted investment data is exposed through BI, analytical, application and AI-enabled channels. Work collaboratively with Data Engineers, Data Analysts, Data Solutions Analysts, architecture colleagues and other technology specialists. Identify, evaluate and help onboard new traditional and alternative datasets, assessing quality, coverage, methodology, long-term value, cost and compliance considerations. What success looks like:* Trusted investment data: Investment teams have access to accurate, reliable and well-governed data products that support effective investment analysis and decision making.* Reusable data products: Investment requirements are translated into well-designed data models and products that are understandable, reusable and able to support multiple consumption patterns.* Strong data quality: Effective controls, validation and monitoring identify data issues early, with clear definitions, lineage and documentation supporting confidence in the data.* Effective investment and technology partnership: Investment professionals and technical teams work effectively together, with complex investment requirements translated into practical data solutions.* Future-ready capability: The Investment Data platform and its products continue to evolve, making trusted data available effectively through analytical, application and emerging AI-enabled channels. Your knowledge and experience:This is a broad role spanning investment knowledge, data and technology, and we don't expect candidates to bring deep expertise across every area listed below. You'll likely bring particular strengths in some areas and opportunities to develop in others. We're interested in the overall depth and relevance of your experience and your ability to operate effectively across these disciplines. Deep, practical knowledge of investment data and how it supports the investment lifecycle, including areas such as instruments, research, portfolios, holdings, valuations, trading, benchmarks, performance, risk and company fundamentals and estimates. Experience working within, embedded with or directly supporting a systematic or quantitative investment or research team at an asset manager, hedge fund, bank or specialist provider. Experience in a data engineering, data analytics, quantitative, investment data or similar data-focused role, including designing, building or supporting analytical data products or reusable datasets. Strong Python (including pandas and NumPy) and SQL skills, alongside experience with version control, testing practices and building data-quality, validation and monitoring workflows. Strong practical understanding of data modelling, data products, pipelines and semantic models, including data governance, metadata, lineage, quality and entitlement considerations. Experience with modern cloud data platforms and analytical architectures, with the ability to understand complex data flows, dependencies and existing platform designs. Snowflake knowledge and experience is highly desirable, with experience of platforms such as Databricks also relevant. Hands-on experience with major investment data vendors, for example Bloomberg, LSEG, FactSet, S&P Global or MSCI, including their data models and the ability to evaluate datasets objectively. Experience delivering data for reporting, analytics or applications, including experience with Power BI, Microsoft Fabric, Streamlit, APIs or similar technologies, alongside an understanding of emerging approaches to data consumption through LLMs, AI applications and agent/MCP-based services. Ability to translate investment business requirements into practical data solutions and communicate effectively with both investment professionals and technical specialists. Ability to balance short-term delivery with longer-term platform and strategic considerations. The type of candidate that we're looking forWe're looking for someone who combines strong investment domain knowledge with credible technical or quantitative capability. You'll be comfortable moving between conversations with investment professionals and detailed discussions about data, models and technology, translating complex requirements into practical solutions. You'll be pragmatic and product-oriented, with a focus on creating data products that are understandable, reusable and sustainable rather than solving individual requirements in isolation. You'll enjoy working hands-on with complex data while also thinking about how the Investment Data platform, its architecture and the ways in which data is consumed should evolve over time. You'll bring curiosity and sound judgement to new datasets, technologies and ways of working, balancing immediate delivery with longer-term value, quality and sustainability. You don't need equal depth across investment expertise, data engineering and quantitative capability, but you'll demonstrate strength across at least two of these areas and the ability and appetite to develop in the third.Critical skills Data literacy Adaptability Systems thinking Enabling others* Digital effectiveness (including AI) ## Closing DateOctober 27, 2026 #J-18808-Ljbffr

Job Description We are seeking a dedicated Network Design Engineer or Network Architect to join our Edinburgh based clients Network team. The successful candidate will be responsible for creating technical designs, operating models, and implementation plans for technology change programmes and projects. This role requires collaboration with the Network Infrastructure Manager to define policies, set standards, and maintain operational controls that ensure service stability and performance. • Collaborate with the Network Infrastructure Manager to define policies and set standards for improving efficiency and working practices within the estate., • Contribute to technical designs for change programmes in all technology areas covering networking requirements., • Provide end-to-end technical oversight for major IT technology initiatives, particularly those related to network infrastructure., • Work alongside the Network Infrastructure Manager and other Technical Specialists to define and maintain the roadmap for network infrastructure., • Experience in design and technical management of networking technologies., • Experience in technical ownership of networking solutions throughout their lifecycle., • Knowledge of technical design frameworks, trends, and initiatives., • Strong understanding of networking technical solutions and enterprise application integrations., • In-depth knowledge of advanced technical troubleshooting capabilities and methodologies., • Experience with F5 ADC – BigIP LTM, Cisco Switches, Routers, and Access Points., • Knowledge of Zscaler Internet Egress and Private Access capabilities., • Experience with Checkpoint Next Generation Firewalls., • CCDP and CCNP qualifications are advantageous. This role will require 2-3 days per week in the Edinburgh office and will be INSIDE IR35 for reference. The role also has the opportunity to go permanent with a very attractive package. Edinburgh, UK Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at en-gb/privacy-notices. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to en-gb/privacy-notices. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield. #J-18808-Ljbffr

Edinburgh, Scotland, United Kingdom; Leeds, England, United Kingdom; London, England, United Kingdom Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. Fanatics Markets is the real‑money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real‑world outcomes and trade on events they actually follow—from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. As a Staff Software Engineer within our Platform team, you will help define the technical direction of the platform underpinning our exchange and trading systems. You will lead the design and evolution of our infrastructure and platform standards to support a highly available, low‑latency exchange, partnering closely with exchange engineers and engineering leads to enable rapid innovation without compromising stability or security. This role requires a balance of deep hands‑on software engineering, systems thinking and technical leadership. You will lead complex projects that support the exchange—from load‑testing environments and mock integrations to monitoring and automated recovery. You will turn ambiguous requirements into practical designs, own delivery from ideation to production and help operate the platform as the exchange goes live. The balance of coding and infrastructure work varies by project, but you should be comfortable independently developing new software as well as improving existing systems, setting platform standards and mentoring engineers across experience levels. On the engineering side, we are pioneering the use of AI as a code collaborator. We need engineers who have moved beyond experimentation—who actively use tools like Claude Code, Cursor, or GitHub Copilot to ship production code faster while maintaining exceptional quality. • Lead the design and development of software tools, services and automation that solve complex infrastructure, reliability and developer experience challenges., • Define and evolve the architecture of highly available cloud‑native infrastructure, balancing performance, reliability, security and cost as the platform grows., • Set technical direction for CI/CD pipelines and developer tooling, remaining hands‑on in delivering improvements to the software delivery lifecycle., • Lead the development of load‑testing environments and supporting software, including mock services and integrations., • Establish and evolve standards for AI‑augmented development, using effective prompting and validation practices to increase velocity without sacrificing code quality., • Identify and mitigate AI‑generated code pitfalls, such as security vulnerabilities or over‑abstraction, and help teams evaluate the impact on quality and productivity., • Guide the design and implementation of platform security safeguards and compliance standards to protect the integrity of the firm’s systems., • Shape the system observability roadmap and lead improvements to monitoring, tracing, alerting and automated recovery., • Partner with exchange, product and engineering leads to resolve architectural trade‑offs, align priorities and deliver scalable platform solutions., • Mentor engineers across experience levels, lead technical design discussions and raise engineering standards across teams., • Participate in the on‑call rotation, lead incident response for team‑owned services and drive engineering improvements that prevent recurring incidents., • Significant experience in software, backend or platform engineering, with a track record of leading complex technical projects and delivering production software and scalable, cloud‑native environments., • Deep software development expertise, including the ability to independently design, build, test and deploy services or substantial tools from scratch and guide others through complex implementation decisions., • Deep hands‑on Kubernetes experience, including designing and operating production environments, troubleshooting complex failures, and establishing patterns for high availability and efficient scaling., • Strong hands‑on experience with AWS and infrastructure as code using Terraform, including making architectural decisions across complex environments., • High proficiency in Java and Python; Go is a plus. You should be comfortable bridging the gap between infrastructure and application logic., • Deep understanding of distributed systems and the ability to make and explain trade‑offs between low latency, high availability, scalability and operational complexity., • Experience shaping CI/CD and observability approaches, with hands‑on knowledge of tools such as Prometheus, Grafana or Datadog., • Strong proficiency in using AI collaborators such as Claude Code, Cursor or GitHub Copilot to ship production code and improve engineering workflows., • Ability to evaluate AI‑generated code for security gaps or architectural errors and establish rigorous testing and validation practices., • Proven ability to turn ambiguous problems into a clear technical direction and deliver improvements across team boundaries, balancing immediate needs with long‑term architectural health., • Strong communication skills, including the ability to explain complex technical decisions, influence without formal authority and collaborate effectively with distributed engineering and product teams., • Experience mentoring senior engineers and building alignment around technical standards and architectural decisions., • Experience in high‑growth startup environments., • Experience with financial systems, exchanges, real‑money transactions or regulatory compliance., • Background in designing and building internal developer platforms, tools, CLI applications or infrastructure automation services., • Experience developing load‑testing environments, mock services or automated recovery systems., • Experience leading technical initiatives spanning multiple teams or evolving platform architecture through significant growth or change. Depending on the role, your interview and onboarding experience may include in‑person components, such as onsite interviews or Launching into Better: LIVE—a multi‑day cultural immersion in New York City for full‑time, non‑seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in the United Kingdom. Remote employees may also be eligible for a home office setup stipend. As set forth in Fanatics Betting & Gaming’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr

Edinburgh, Scotland, United Kingdom; Leeds, England, United Kingdom; London, England, United Kingdom Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real‑world outcomes and trade on events they actually follow—from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. Role OverviewAs a Senior Software Engineer within our Platform team, you will help build and operate the platform underpinning our exchange and trading systems. You will adapt and evolve our infrastructure and platform standards to support a highly available, low‑latency exchange, partnering closely with exchange engineers and engineering leads to enable rapid innovation without compromising stability or security. This role requires a balance of deep hands‑on software engineering and systems thinking. You will build tools, services and automation that support the exchange—from load‑testing environments and mock integrations to monitoring and automated recovery. You will own projects from ideation to production and help operate the platform as the exchange goes live. The balance of coding and infrastructure work varies by project, but you should be comfortable independently developing new software as well as improving existing systems, championing best‑in‑class platform standards and mentoring mid‑level engineers. On the engineering side, we are pioneering the use of AI as a code collaborator. We need engineers who have moved beyond experimentation—who actively use tools like Claude Code, Cursor, or GitHub Copilot to ship production code faster while maintaining exceptional quality. • Design, build and maintain software tools, services and automation that solve complex infrastructure, reliability and developer experience challenges., • Design, build and maintain highly available cloud‑native infrastructure, ensuring the platform scales reliably with our growing user base., • Build and optimize CI/CD pipelines and developer tooling to eliminate friction in the software delivery lifecycle., • Develop load‑testing environments and supporting software, including mock services and integrations., • Implement team‑level standards for AI‑augmented development, using effective prompting and validation practices to increase velocity without sacrificing code quality., • Identify and mitigate AI‑generated code pitfalls, such as security vulnerabilities or over‑abstraction, and assist in tracking team productivity metrics., • Implement and maintain platform security safeguards and compliance standards to protect the integrity of the firm’s systems., • Contribute to the system observability roadmap by implementing monitoring, tracing, alerting and automation to improve operational reliability., • Partner with product and engineering teams to translate technical requirements into scalable platform solutions., • Mentor junior and mid‑level engineers, participate in the on‑call rotation, lead incident response for team‑owned services and deliver engineering improvements that prevent recurring incidents., • 5+ years of experience in software, backend or platform engineering, with a track record of delivering production software and building scalable, cloud‑native environments., • Strong software development skills, including the ability to independently design, build, test and deploy services or substantial tools from scratch., • Deep hands‑on Kubernetes experience, including operating production workloads, troubleshooting failures, and designing for high availability and efficient scaling., • Strong hands‑on experience with AWS and infrastructure as code using Terraform., • High proficiency in Java and Python; Go is a plus. You should be comfortable bridging the gap between infrastructure and application logic., • Understanding of distributed systems and the trade‑offs between low latency, high availability, scalability and operational complexity., • Experience building mature CI/CD pipelines and working with observability tools such as Prometheus, Grafana or Datadog., • Strong proficiency in using AI collaborators such as Claude Code, Cursor or GitHub Copilot to ship production code and improve personal development workflows., • Ability to evaluate AI‑generated code for security gaps or architectural errors and implement rigorous testing strategies., • Proven ability to take ownership of complex projects in a fast‑paced environment, proactively identifying improvements and balancing speed with architectural health., • Strong communication skills and the ability to collaborate effectively with distributed engineering and product teams., • Experience in high‑growth startup environments., • Experience with financial systems, exchanges, real‑money transactions or regulatory compliance., • Background in building internal developer tools, CLI applications or infrastructure automation services., • Experience developing load‑testing environments, mock services or automated recovery systems., • Experience leading small project groups or “squads” within a larger team. Depending on the role, your interview and onboarding e xperience may include in‑person components, such as onsite interviews or Launching into Better: LIVE—a multi‑day cultural immersion in New York City for full‑time, non‑seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in the United Kingdom. Remote employees may also be eligible for a home office setup stipend. #LI-AL1 For government reporting purposes, we ask candidates to respond to the below self‑identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Fanatics Betting & Gaming’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability. A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. #J-18808-Ljbffr

Job-ID: 2778Category: Retail ManagementLocation: Edinburgh, Midlothian, United KingdomPosted: 2026-10-20Business Area: RetailContract Type: PermanentWorking Hours: 40Shift Pattern: 5-7More about the roleMaking sure our shelves are fully stocked is key to a fantastic shopping experience, which is why our Trading Managers are so vital to our success.Reporting directly to the Store Manager, you’ll bring a hands-on approach to managing store-wide trading routines. You'll lead your team to deliver market-leading product availability, run smooth promotional events, and ensure every aisle is safe, legal, and ready for trade.In this role, you’ll be on hand to:Put customers first: Lead your team to deliver outstanding shopping experiences, planning promotions and acting on customer feedback to keep standards high.Lead and support your team: Manage shift rotas, attendance, and talent development, delivering training so colleagues have the confidence to work flexibly across departments.Drive performance and availability: Lead a supportive, performance-driven department, guiding colleagues to work with purpose against all operational and sales targets.Keep operations running smoothly: Plan resources thoroughly, manage daily team routines, and build strong working relationships with other store departments.More about our perksWe value your hard work and commitment, and in return, we provide:Generous holiday entitlementDiscretionary bonus scheme15% discount in our supermarkets and convenience stores from the day you join usAdditional 10% discount card for a friend or family memberGenuine career progression and development opportunities - read more about our Leadership School hereSubsidised in-store cafe or shop floor rangesFree parkingCompetitive pension and life assuranceHealthcare / Wellbeing benefits including Aviva Digital GP'MyPerks' with discounts at high street shops, cinemas and gyms, and lots moreOptional payroll charity donationsA range of family-friendly policies including 26 weeks maternity and adoption leave along with neonatal and fertility leaveMore about youWhether your background is in retail, hospitality, leisure, or travel, if you care about great service and bringing out the best in people, you'll fit right in with us.You'll be the kind of person who:Leads and steps up with confidence: Has experience leading and supporting a team in a fast-paced environment, confidently running shifts and handling daily trading priorities. You’ll be confident to step up as Manager in Charge when required.Builds strong, supportive teams: Communicates naturally, shares knowledge, and deals with everyday challenges calmly to keep the team working well together.Listens and adapts: Active listener who acts on customer and colleague feedback to make things better every shift, staying open and flexible to new ways of working.Keeps a firm grip on the basics: Takes a practical approach to managing department routines, keeping a close eye on safety, stock availability, and operational standards.About the organization Morrisons is a place where you can be yourself, feel valued, and have a true sense of belonging. We are proud to be an equal opportunities employer and welcome applications from people from all walks of life, as we strive to build a workforce that truly represents the communities we serve. We are also a Disability Confident Employer, which means we're committed to providing an inclusive and accessible recruitment process. If you require any reasonable adjustments, please let us know when you submit your application and support will be provided wherever it’s required. About the company Starting as a Bradford market stall, we are proud to be the Yorkshire retailer now serving over 11 million customers nationwide each week. We’re unique: both foodmakers and shopkeepers, processing our own fresh produce and preparing more food in-store than any other supermarket. We offer real opportunities to build your career across our stores, sites, and support teams. We’re a down-to-earth team that values hard work, reliability, and great customer service. If you’re friendly, dependable, and ready to get stuck in, there’s always More to Morrisons for you.

The Technical Data SME is the domain authority for investment data across client engagements, responsible for the quality, integrity and reliability of the client reporting and investment data delivered to clients. This role involves designing and overseeing data systems and pipelines, leading complex data analysis, and presenting insights through advanced data visualisation techniques. The SME collaborates with clients, project management and architecture teams to define customer and company needs, and acts as a senior technical point of contact. This role requires the ability to merge data from multiple sources and present it in alignment with customer and company requirements, while setting standards and driving continuous improvement in data quality and reliability. • Act as the subject matter expert for investment data, providing authoritative guidance on data structures, sourcing, transformation logic and reporting outputs., • Design, build and optimise efficient, scalable data systems and pipelines, ensuring seamless data flow at volume., • Lead deep-dive analysis of complex data sets and root cause investigations, delivering clear recommendations and insightful reports to technical and non-technical stakeholders., • Design and deliver advanced data visualisation and reporting solutions that bring data to life and support data-driven decision making., • Lead the integration of complex multi-source data into consistent, comprehensive and client-ready outputs., • Define and drive the strategy for data quality and reliability, establishing controls, monitoring and remediation approaches that uphold the highest standards., • Develop and implement analytical tools and programmes that empower teams and clients to make data-driven decisions., • Partner with system architects and product development teams to shape data architecture, influence the technical roadmap and evaluate new technologies., • Define and maintain data standards, design patterns and best practices, and champion data governance across teams and client engagements., • Serve as the senior technical contact for clients, advising on solutions, managing expectations and representing the data function in escalations., • Work with project management to scope work, assess risk and shape delivery plans and timelines., • Coach and mentor analysts and junior team members, reviewing work and raising technical capability across the team., • Deep expertise in investment data, including its structures, lifecycle and common data challenges., • Extensive hands-on experience with SQL and NoSQL databases., • Advanced knowledge of cloud platforms and big data technologies (e.g. AWS, GCP, Azure)., • Strong command of database design and data warehouse principles, including modelling for scale and performance., • Proven experience designing and delivering data integration and ETL/ELT processes., • Expert-level data manipulation, data cleansing and transformation techniques., • Strong knowledge of data governance and best practices in data management., • Proven ability to work with large datasets and perform data mining at scale., • Track record of leading complex, client-facing data projects from design through to delivery., • Demonstrated ability to lead technical decision making and influence senior stakeholders., • Proven ability to mentor others and raise team capability., • Continuous improvement mindset for self and team., • Ability to work collaboratively in a cross-functional team environment., • Strong computer skills, including proficiency in Microsoft Office., • Excellent attention to detail and strong documentation skills., • Outstanding verbal and written communication skills, including presenting to clients and leadership., • Strong organisational and interpersonal skills., • Exceptional problem-solving abilities, with the ability to resolve ambiguous, complex issues independently., • Bachelor's degree in data analytics, statistics, accounting, computer science, or a related discipline (advanced degree desirable)., • 7+ years of relevant experience in data analytics, reporting and visualisation, including experience in a senior or lead capacity. Thank you for your interest in a career with Clearwater! Clearwater Analytics (NYSE: CWAN) is transforming investment management with the industry’s most comprehensive cloud-native platform for institutional investors across global public and private markets. While legacy systems create risk, inefficiency, and data fragmentation, Clearwater’s single-instance, multi-tenant architecture delivers real-time data and AI-driven insights throughout the investment lifecycle. The platform eliminates information silos by integrating portfolio management, trading, investment accounting, reconciliation, regulatory reporting, performance, compliance, and risk analytics in one unified system. Serving leading insurers, asset managers, hedge funds, banks, corporations, and governments, Clearwater supports over $8.8 trillion in assets globally. Learn more at www.clearwateranalytics.com. Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with the job description, we encourage you to still apply! You may be just what we're looking for. #J-18808-Ljbffr

Our Purpose We believe in making homes, businesses, and lives better. As our Regional Showroom Sales Manager (RSSM), you will be the driving force behind this mission, guiding and developing our Bathroom Showroom teams across a defined region to ensure we remain the partner of choice for the trade industry. The Role: You will lead, mentor, and inspire our Showroom Managers to deliver exceptional customer service and sustainable sales growth. As our Regional Showroom Sales Manager, your role will involve monitoring area performance to ensure every showroom in your network is a profitable, seamless extension of the City Plumbing brand. By taking ownership of the Showroom's regional sales strategy, you'll implement initiatives that drive consistent sales results across all locations. You'll focus on high standards that will directly impact area performance, allowing you to identify and scale successes within your territory. Through proactive influencing and mentorship, you'll empower your Showrooms to reach new sales heights and maintain a competitive edge when it comes to sales. Ultimately, you will be committed to improving the performance of our Showroom estate by aligning business initiatives with our broader sales objectives, and ensuring the area performance and regional sales targets are consistently met and exceeded. If you achieve this you will be rewarded financially by our brilliant bonus scheme. Key Responsibilities: You will drive performance by taking accountability for showrooms meeting, exceeding sales targets, profit/AOP objectives, and trading margins. You will ensure strategic growth by coaching Showroom Managers to proactively secure new business while nurturing loyal, recurring trade partnerships. You will demonstrate team leadership, by supporting the recruitment, onboarding, and expert product training to empower your teams to lead with knowledge. You will influence standard excellence, by conducting regular site visits to audit showroom standards, ensuring industry-leading visual presentation and customer journeys. You will be a great collaborator, by fostering strong partnerships between Showroom and Branch Managers to drive total branch profitability. This is a remote based role, with travel required throughout Scotland and the North East You: As a Regional Showroom Sales Manager, you will be an example of our behaviours; Make it safe for Everyone, Be the customer's choice, Create the future, Grow stronger together. You'll be a commercially-minded leader who can interpret financial data and turn it into high-performance results. Skills and competencies: Leadership Experience: Proven track record in management or leadership roles. Coaching Skills: Ability to inspire and influence teams to unlock their untapped potential. Industry Knowledge: Understanding of the Bathrooms industry or similar trade sectors (e.g., kitchens, joinery). Commercial Acumen: Ability to examine and interpret complex financial and statistical information. Mobility: A clean UK Driving Licence for travel across your region Us: From boilers to bathroom suites, tubing to towel rails and everything in between, City Plumbing has all the products our customers need to complete the job. And we have all you need to build a successful career! We're proud of our reputation for selling quality plumbing and heating products to both trade and retail customers and we're super excited about our future. We put our colleagues at the heart of all we do, giving them all the tools they need to be successful, happy and feel rewarded in their career with us. Benefits Package and Cultural Environment: 25% OTE Discounts, savings and cash back at numerous retailers Enhanced pension Life assurance Extended family policy including maternity, paternity, additional annual leave and more Mental Health First Aiders and Employee Assistance Programme, we look out for each other Complete induction and a company that lets you grow and encourages development Financial education and loans Flexible working options A business striving to create an environment of inclusion so everyone can be their true self And more! TPBN1_UKTJ

Job TitleSenior Quantitative Analyst, Investment Analytics## DepartmentInvestment - General-Investment Analytics-UK## Overview of DepartmentOur Investment Teams invest money on behalf of our clients, deciding which companies, stockmarkets and other asset classes to invest in. Financial markets will move up and down over short periods in ways that we cannot control or predict but, by analysing and understanding the key fundamental drivers behind this range of potential investments, we use our experience and judgement to select sound investments capable of producing superior long-term returns for our clients. We are also very mindful that our clients have entrusted us to look after their money so, in addition to delivering good long-term investment returns, we also strive to sustain excellent client service by communicating regularly with them. Our teams are set up to deal with different areas of the world and different types of investments. The teams are deliberately small to foster a collegiate and personal working environment that allows for discussion and debate.## Purpose of RoleAs a Senior Quantitative Analyst, you will produce bespoke analytics and quantitative insights for investment teams to enhance their decision-making, portfolio construction, and alpha generation. You will be heavily involved in improving and scaling our analytical capabilities using AI/ML methods through the development of our Investment Intelligence platform.## Responsibilities Producing quantitative insights and bespoke analytics for investors. Analysts will be embedded within investment teams to deliver work tailored to those teams’ processes and philosophies. Analysts will be expected to produce research that makes a material contribution to investment decision-making. Building and developing novel datasets from internal and third-party sources to contribute to the analytical foundations of the team. Analysts are expected to maintain an industry-leading knowledge of and capability with investment data, including but not limited to company financial data, factor models, and portfolio analytics tools. Cohesive and engaging communication of analytical findings through written reports and dialogue with investment teams. Focusing on actionable conclusions and decision-relevant insights for investors with a clear and detailed outline of analytical methods included for reference where appropriate. Developing and enhancing the existing Investment Intelligence platform to scale the impact of the team and make analytical findings accessible across the investment floor. Contributing to the integration of artificial intelligence into investment workflows through the development of tools, semantic views, and agentic loops which can be exposed through our MCP. Build trusted relationships across investment, data, technology, risk, trading and operational teams; review work constructively, share knowledge and contribute to client-facing analysis where appropriate. An openness to personal growth and continuous learning will be required as well as supporting the development of colleagues within the Investment Analytics team.What success looks like* Decision-relevant insight: Quantitative analysis and research provide clear, evidence-based insights that influence investment thinking and make a meaningful contribution to investment decision-making.* Independent value-add: Opportunities to apply quantitative analysis are identified proactively, with sound judgement and growing independence in determining where and how analytical work can add value for investment teams.* Ownership and delivery: Complex analytical projects and workstreams are taken from problem definition through to delivery, coordinating effectively with others and maintaining a clear focus on investment or process outcomes.* Scalable analytical capability: Analytical methods, tools and AI-enabled capabilities extend the value of individual pieces of research, strengthening the Investment Intelligence platform and making insight more accessible across the investment floor.* Trusted partnership: Strong relationships with investors and colleagues across data, technology, risk, trading and operations enable effective collaboration, constructive challenge and high-quality analytical outcomes.* Team contribution: Knowledge and expertise are shared openly, supporting the development of colleagues and contributing to a high-performing, continually learning Investment Analytics team. Qualifications A strong academic or equivalent practical foundation in a quantitative discipline, investment analysis, computer science or a related field. Full Investment Management Certificate (IMC), or willingness to complete it after appointment.* CFA, CQF, postgraduate study or another relevant professional qualification would be advantageous but is not required. Your knowledge and experienceYou should bring demonstrated depth in either quantitative investment research or agentic analytical systems, with credible applied capability in the other. We can support growth from a position of strength; we are not looking to fill foundational gaps in both. Substantial relevant professional experience, demonstrated through the scope, independence, judgement and impact of your work rather than a fixed number of years. Strong applied statistics and quantitative judgement, including method selection, robustness testing and a clear understanding of the difference between correlation, prediction and causality. Advanced practical capability in Python and SQL, experience of working with large financial datasets and reproducible analytical workflows. Fluent with AI coding tools (e.g. Claude Code, Codex, GitHub Copilot) for development with strong judgment skills to maintain a robust analytical foundation when working with agents. Advanced proficiency with modern software and data engineering practices (testing, design patterns, code review, version control). Practical experience working with Large Language Models including context and loop engineering, fine-tuning, and agentic frameworks. Experience building and deploying AI Agents and agentic workflows using open-source frameworks (e.g. OpenAI Agents SDK) and comparable tools or standards such as Model Context Protocol (MCP) for connecting AI agents to tools and data. Strong stakeholder management across multiple teams in a large organisation will be beneficial to our collaboration with other business areas.* Relevant backgrounds may include investment management, quantitative or equity research, data science, analytical engineering, financial technology or applied AI. The type of candidate that we're looking for:The ideal candidate will combine analytical depth with a practical desire to improve investment decisions. They will have direct experience in investment management or quantitative equity research as well as strong analytical capabilities. We also welcome candidates from research and data science backgrounds with strong investment knowledge. Essential skills include fluency with AI coding tools, experience with large financial datasets, and practical experience working with Large Language Models to scale analytical outputs. Candidates should demonstrate advanced data literacy, the ability to communicate complex information in a clear and concise manner to multiple different stakeholders, and a readiness for rapid learning. We are looking for candidates that are energized by solving complex, open-ended problems and want to contribute quantitative insight to advance our long-term, active investment approach. Critical Skills Data Literacy Improvement Mindset Nurture Relationships Adaptability## Closing DateOctober 27, 2026 #J-18808-Ljbffr

Our Investment Teams invest money on behalf of our clients, deciding which companies, stockmarkets and other asset classes to invest in. Financial markets will move up and down over short periods in ways that we cannot control or predict but, by analysing and understanding the key fundamental drivers behind this range of potential investments, we use our experience and judgement to select sound investments capable of producing superior long-term returns for our clients. We are also very mindful that our clients have entrusted us to look after their money so, in addition to delivering good long-term investment returns, we also strive to sustain excellent client service by communicating regularly with them. Our teams are set up to deal with different areas of the world and different types of investments. The teams are deliberately small to foster a collegiate and personal working environment that allows for discussion and debate. As a Senior Quantitative Analyst, you will produce bespoke analytics and quantitative insights for investment teams to enhance their decision-making, portfolio construction, and alpha generation. You will be heavily involved in improving and scaling our analytical capabilities using AI/ML methods through the development of our Investment Intelligence platform. • Producing quantitative insights and bespoke analytics for investors., • Analysts will be embedded within investment teams to deliver work tailored to those teams’ processes and philosophies., • Analysts will be expected to produce research that makes a material contribution to investment decision-making., • Building and developing novel datasets from internal and third-party sources to contribute to the analytical foundations of the team., • Analysts are expected to maintain an industry-leading knowledge of and capability with investment data, including but not limited to company financial data, factor models, and portfolio analytics tools., • Cohesive and engaging communication of analytical findings through written reports and dialogue with investment teams., • Focusing on actionable conclusions and decision-relevant insights for investors with a clear and detailed outline of analytical methods included for reference where appropriate., • Developing and enhancing the existing Investment Intelligence platform to scale the impact of the team and make analytical findings accessible across the investment floor., • Contributing to the integration of artificial intelligence into investment workflows through the development of tools, semantic views, and agentic loops which can be exposed through our MCP., • Build trusted relationships across investment, data, technology, risk, trading and operational teams; review work constructively, share knowledge and contribute to client-facing analysis where appropriate., • An openness to personal growth and continuous learning will be required as well as supporting the development of colleagues within the Investment Analytics team., • Decision-relevant insight: Quantitative analysis and research provide clear, evidence-based insights that influence investment thinking and make a meaningful contribution to investment decision-making., • Independent value-add: Opportunities to apply quantitative analysis are identified proactively, with sound judgement and growing independence in determining where and how analytical work can add value for investment teams., • Ownership and delivery: Complex analytical projects and workstreams are taken from problem definition through to delivery, coordinating effectively with others and maintaining a clear focus on investment or process outcomes., • Scalable analytical capability: Analytical methods, tools and AI-enabled capabilities extend the value of individual pieces of research, strengthening the Investment Intelligence platform and making insight more accessible across the investment floor., • Trusted partnership: Strong relationships with investors and colleagues across data, technology, risk, trading and operations enable effective collaboration, constructive challenge and high-quality analytical outcomes., • Team contribution: Knowledge and expertise are shared openly, supporting the development of colleagues and contributing to a high-performing, continually learning Investment Analytics team., • A strong academic or equivalent practical foundation in a quantitative discipline, investment analysis, computer science or a related field., • Full Investment Management Certificate (IMC), or willingness to complete it after appointment., • CFA, CQF, postgraduate study or another relevant professional qualification would be advantageous but is not required., • You should bring demonstrated depth in either quantitative investment research or agentic analytical systems, with credible applied capability in the other., • We can support growth from a position of strength; we are not looking to fill foundational gaps in both., • Substantial relevant professional experience, demonstrated through the scope, independence, judgement and impact of your work rather than a fixed number of years., • Strong applied statistics and quantitative judgement, including method selection, robustness testing and a clear understanding of the difference between correlation, prediction and causality., • Advanced practical capability in Python and SQL, experience of working with large financial datasets and reproducible analytical workflows., • Fluent with AI coding tools (e.g. Claude Code, Codex, GitHub Copilot) for development with strong judgment skills to maintain a robust analytical foundation when working with agents., • Advanced proficiency with modern software and data engineering practices (testing, design patterns, code review, version control)., • Practical experience working with Large Language Models including context and loop engineering, fine-tuning, and agentic frameworks., • Experience building and deploying AI Agents and agentic workflows using open-source frameworks (e.g. OpenAI Agents SDK) and comparable tools or standards such as Model Context Protocol (MCP) for connecting AI agents to tools and data., • Strong stakeholder management across multiple teams in a large organisation will be beneficial to our collaboration with other business areas., • Relevant backgrounds may include investment management, quantitative or equity research, data science, analytical engineering, financial technology or applied AI., • The ideal candidate will combine analytical depth with a practical desire to improve investment decisions. They will have direct experience in investment management or quantitative equity research as well as strong analytical capabilities., • We also welcome candidates from research and data science backgrounds with strong investment knowledge., • Essential skills include fluency with AI coding tools, experience with large financial datasets, and practical experience working with Large Language Models to scale analytical outputs., • Candidates should demonstrate advanced data literacy, the ability to communicate complex information in a clear and concise manner to multiple different stakeholders, and a readiness for rapid learning., • We are looking for candidates that are energized by solving complex, open-ended problems and want to contribute quantitative insight to advance our long-term, active investment approach., • Data Literacy Improvement Mindset Nurture Relationships Adaptability October 27, 2026 Should you choose to use AI tools to support your application, we ask that you do this thoughtfully. We encourage you to ensure your application reflects your own voice, experience, and motivations. We value authenticity and want to understand your individual strengths and perspectives. At Baillie Gifford, we are committed to fostering an inclusive and respectful culture in which each of our colleagues can thrive and develop. We believe that our clients are best served by a diverse workforce with the experiences, ideas and perspectives that this brings. If you are currently working at Baillie Gifford as an employee or contractor please apply to this job from the firm’s Workday internal career site. Baillie Gifford is an independent, private partnership, which allows us to focus entirely on our clients and their investments. It helps our stability, motivation and culture and enables us to take a long-term view on all that we do, including staff development, client relationships and investing. And just like with our investments, we’re good at spotting potential in our employees. Join us and we’ll actively support you to explore the possibilities of your career and interests. We’ll give you on-ongoing training and development, all to ensure you have valuable opportunities to grow your unique talents and pursue your goals. We’re also incredibly committed to the wellbeing of our employees. This is just a taste of our culture. One that was created by the partners who own and will work with you every day in the firm. People who are always on hand to hear your ideas and suggestions of how to make Baillie Gifford an even better place to be. So, if this sounds like somewhere you could realise your full potential, then our next investment could be you. If you have any questions or issues regarding your application, please contact us at . For more detail on careers at Baillie Gifford visit our careers site at: en/uk/careers This page hosts our regular vacancies - to view our graduate and internship vacancies follow this link. #J-18808-Ljbffr

Senior Quantitative Analyst, Investment Analytics Investment - General-Investment Analytics-UK Our Investment Teams invest money on behalf of our clients, deciding which companies, stockmarkets and other asset classes to invest in. Financial markets will move up and down over short periods in ways that we cannot control or predict but, by analysing and understanding the key fundamental drivers behind this range of potential investments, we use our experience and judgement to select sound investments capable of producing superior long-term returns for our clients. We are also very mindful that our clients have entrusted us to look after their money so, in addition to delivering good long-term investment returns, we also strive to sustain excellent client service by communicating regularly with them. Our teams are set up to deal with different areas of the world and different types of investments. The teams are deliberately small to foster a collegiate and personal working environment that allows for discussion and debate. As a Senior Quantitative Analyst, you will produce bespoke analytics and quantitative insights for investment teams to enhance their decision-making, portfolio construction, and alpha generation. You will be heavily involved in improving and scaling our analytical capabilities using AI/ML methods through the development of our Investment Intelligence platform. • Producing quantitative insights and bespoke analytics for investors. Analysts will be embedded within investment teams to deliver work tailored to those teams’ processes and philosophies. Analysts will be expected to produce research that makes a material contribution to investment decision-making., • Building and developing novel datasets from internal and third-party sources to contribute to the analytical foundations of the team. Analysts are expected to maintain an industry-leading knowledge of and capability with investment data, including but not limited to company financial data, factor models, and portfolio analytics tools., • Cohesive and engaging communication of analytical findings through written reports and dialogue with investment teams. Focusing on actionable conclusions and decision-relevant insights for investors with a clear and detailed outline of analytical methods included for reference where appropriate., • Developing and enhancing the existing Investment Intelligence platform to scale the impact of the team and make analytical findings accessible across the investment floor. Contributing to the integration of artificial intelligence into investment workflows through the development of tools, semantic views, and agentic loops which can be exposed through our MCP., • Build trusted relationships across investment, data, technology, risk, trading and operational teams; review work constructively, share knowledge and contribute to client-facing analysis where appropriate., • An openness to personal growth and continuous learning will be required as well as supporting the development of colleagues within the Investment Analytics team. What success looks like • Decision-relevant insight: Quantitative analysis and research provide clear, evidence-based insights that influence investment thinking and make a meaningful contribution to investment decision-making., • Independent value-add: Opportunities to apply quantitative analysis are identified proactively, with sound judgement and growing independence in determining where and how analytical work can add value for investment teams., • Ownership and delivery: Complex analytical projects and workstreams are taken from problem definition through to delivery, coordinating effectively with others and maintaining a clear focus on investment or process outcomes., • Scalable analytical capability: Analytical methods, tools and AI-enabled capabilities extend the value of individual pieces of research, strengthening the Investment Intelligence platform and making insight more accessible across the investment floor., • Trusted partnership: Strong relationships with investors and colleagues across data, technology, risk, trading and operations enable effective collaboration, constructive challenge and high-quality analytical outcomes., • Team contribution: Knowledge and expertise are shared openly, supporting the development of colleagues and contributing to a high-performing, continually learning Investment Analytics team. Qualifications • A strong academic or equivalent practical foundation in a quantitative discipline, investment analysis, computer science or a related field., • Full Investment Management Certificate (IMC), or willingness to complete it after appointment., • CFA, CQF, postgraduate study or another relevant professional qualification would be advantageous but is not required. Your knowledge and experience You should bring demonstrated depth in either quantitative investment research or agentic analytical systems, with credible applied capability in the other. We can support growth from a position of strength; we are not looking to fill foundational gaps in both. • Substantial relevant professional experience, demonstrated through the scope, independence, judgement and impact of your work rather than a fixed number of years., • Strong applied statistics and quantitative judgement, including method selection, robustness testing and a clear understanding of the difference between correlation, prediction and causality., • Advanced practical capability in Python and SQL, experience of working with large financial datasets and reproducible analytical workflows., • Fluent with AI coding tools (e.g. Claude Code, Codex, GitHub Copilot) for development with strong judgment skills to maintain a robust analytical foundation when working with agents. Advanced proficiency with modern software and data engineering practices (testing, design patterns, code review, version control)., • Practical experience working with Large Language Models including context and loop engineering, fine-timing, and agentic frameworks. Experience building and deploying AI Agents and agentic workflows using open-source frameworks (e.g. OpenAI Agents SDK) and comparable tools or standards such as Model Context Protocol (MCP) for connecting AI agents to tools and data., • Strong stakeholder management across multiple teams in a large organisation will be beneficial to our collaboration with other business areas., • Relevant backgrounds may include investment management, quantitative or equity research, data science, analytical engineering, financial technology or applied AI. The type of candidate that we're looking for: The ideal candidate will combine analytical depth with a practical desire to improve investment decisions. They will have direct experience in investment management or quantitative equity research as well as strong analytical capabilities. We also welcome candidates from research and data science backgrounds with strong investment knowledge. Essential skills include fluency with AI coding tools, experience with large financial datasets, and practical experience working with Large Language Models to scale analytical outputs. Candidates should demonstrate advanced data literacy, the ability to communicate complex information in a clear and concise manner to multiple different stakeholders, and a readiness for rapid learning. We are looking for candidates that are energized by solving complex, open-ended problems and want to contribute quantitative insight to advance our long-term, active investment approach. Critical Skills • Data Literacy, • Improvement Mindset, • Nurture Relationships, • Adaptability October 27, 2026 Should you choose to use AI tools to support your application, we ask that you do this thoughtfully. We encourage you to ensure your application reflects your own voice, experience, and motivations. We value authenticity and want to understand your individual strengths and perspectives. At Baillie Gifford, we are committed to fostering an inclusive and respectful culture in which each of our colleagues can thrive and develop. We believe that our clients are best served by a diverse workforce with the experiences, ideas and perspectives that this brings. #J-18808-Ljbffr

Seeking a Trading Standards Officer to enforce regulations, conduct inspections, and provide advice on food standards, weights and measures, and consumer protection.

Kitchen Team Leader - City of Edinburgh.Stonegate Group is the UK’s largest operator of pubs, bars, and late-night venues, including Slug & Lettuce, Be At One, and Popworld, to name a few.We’re proud of our diverse portfolio and deeply committed to creating an inclusive culture that embraces in

Kitchen Team Leader - City of Edinburgh.Stonegate Group is the UK’s largest operator of pubs, bars, and late-night venues, including Slug & Lettuce, Be At One, and Popworld, to name a few.We’re proud of our diverse portfolio and deeply committed to creating an inclusive culture that embraces in

We sell the world's best chicken.We've done it for a long old time - since 1939, when the idea of.Now, we proudly serve 1000+ communities across the UK and Ireland, bringing the grit, pride and iconic reputation that started in Kentucky all those years ago.We come to work to be ourselves, and to mak

You will act as a key point of contact for your teams, overseeing workloads, allocating resources, supporting development and ensuring service standards are consistently achieved.

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As part of Compass Group UK&I, we combine people-first culture with exceptional service standards. Type of contract: Full-time, Permanent Hours: 40 per week, Monday-Friday, on a shift rota basis between 7 AM and 8 PM Main responsibilities Support the team and client in delivering consistently hi

HR Administrator Placement Programme – No experience needed From £30,000 to £50,000 per annum Trainee HR Administrator – £30,000–£50,000 – Job Programme This is a self-funded programme that leads to employment, fees apply.Job Guarantee Complete the programme and get a job, or get your co

Internal Sales Team Leader – Building Materials You're already training the new starters, running your own book and covering the branch manager's desk when he's not there.None of that comes with a title yet.This one gives you the title, the authority and the money for exactly what you're already d

To work alongside the Branch Manager, ensuring that all quality standards, complaints, and comments are dealt with promptly. Put in place measures to comply with CQC regulations and work to achieve the best care standards possible. Knowledge of CQC standards and CQC Compliance (essential).

Our client is an online gaming company.North East England based | Hybrid Full time | Permanent Shifts discussed at interview Were on the lookout for a Italian speaking Customer Service Team Leader to join our Italian team, supporting and covering our Italian territory while helping shape how we deli

As a member of the Technical & Tax Reporting team, the main purpose of this role is to contribute to our Chargeable Events reviews, production of certificates and support the annual HMRC submission in accordance with UK regulatory requirements.To contribute to the delivery of your own and the te

An established and successful firm of Chartered Accountants is looking to strengthen its Payroll team in their Goole office.Its a full time, Monday to Friday role, dealing with: •Processing payrolls, gross to net •Processing HMRC submissions •Calculation of statutory payments •Liaising direc

The Company Skin Rocks is a movement.A living, breathing, people-gathering energy that demystifies skincare so that everyone knows what to use and when to use it.Our mission? We are here to share science so that people understand why Skin Rocks and how to make theirs look and feel its best.It's hone

Maintain high standards of 6S, housekeeping and tooling control. Experience working to production targets and quality standards. You will work closely with machinists, production operatives and the Production Supervisor to ensure production targets, quality standards and customer requirements are ac

This job is with Entain, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.Please do not contact the recruiter directly.There's nothing like a career at Entain.We're a leading, global sports betting and gaming company and we're upping the

SQL Server DBA – 6 month contract (Inside IR35) - £500 per day (Umbrella)- Hybrid 3 days onsite Edinburgh City Centre.Meraki Talent have partnered with global Financial Services business in Edinburgh who are looking for a SQL Server DBA for an initial 6 month contract.You will focus on ensuring p

You will plan and execute site surveys at high‑voltage substations, lead complex earthing and lightning protection studies, and ensure all work complies with UK standards.

As a key member of the Digital Services team, the Infrastructure Team Leader leads the operation, support, security, monitoring and continual development of the College's core IT infrastructure and the services that underpin teaching, learning and business operations across all campuses.This is a ha

As a Senior Database Administrator, you’ll be the steward of the data layer that powers Podfather.Working closely with our Software Engineers, DevOps Engineers, and CTO, you will keep our databases reliable, performant, and well-designed as the business grows.If you love solving real-world problem

We sort junior office administrator jobs with better pay, shorter commutes and sooner starts in mind.Explore your options and find your next move.

We sort administrator construction accounting jobs with better pay, shorter commutes and sooner starts in mind.Explore your options and find your next move.

Sales and Logistics Administrator North of Shrewsbury – Free Parking £26,000 - £30,000 Permanent Monday – Friday, 8.Our client is a well-established and highly respected business based north of Shrewsbury, specialising in the manufacture and global supply of a unique, market-leading product.Du