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Power Platform Developer 3 months initially - extensions London - hybrid £495 per day inside IR35 - Umbrella only Hold active or eligible for SC security clearance The Power Platform Developer / Engineer will design, configure, build, test and support digital solutions using the Microsoft Power Platform. The role will help transform manual, paper-based or inefficient business processes into secure, user-centred and maintainable digital services. The postholder will work with product managers, business analysts, service owners, architects, testers, data specialists, security teams and end users to develop solutions that meet business needs, comply with government standards, and support wider digital transformation. This role combines low code configuration, pro code development, integration, automation, data modelling, testing, support and platform governance. Key Responsibilities 1. Solution Design and Development Design, configure and develop solutions using Power Apps, Power Automate, Dataverse, Power Pages, Copilot Studio and related Microsoft 365 services. Build canvas apps, model driven apps, automated workflows, approvals, forms, dashboards and lightweight business applications. Translate user needs and business requirements into effective digital solutions. Apply modern development standards, including reusable components, documented configuration, secure design and structured deployment. Use Power Platform development tools such as solutions, environments, connection references, environment variables and pipelines. 2. Configuration Engineering Configure Power Platform components in line with agreed design patterns and governance standards. Manage Dataverse tables, columns, views, forms, business rules, security roles and application lifecycle settings. Configure Power Automate flows for business process automation, notifications, approvals and integrations. Configure Power Pages where external-facing or self service user experiences are required. Support configuration of connectors, gateways, service accounts and data connections in line with organisational policies. 3. Integration and Data Integrate Power Platform solutions with Microsoft 365 services such as SharePoint, Teams, Outlook, Excel, OneDrive and Power BI. Support integration with enterprise platforms such as CLIO Operate, ServiceNow, Azure services or line of business systems where required. Design simple and effective data models using Dataverse, SharePoint Lists or approved data sources. Ensure data is structured, secure, accessible and aligned with information governance requirements. Work with data teams to support reporting, analytics and data quality requirements. 4. Testing and Quality Assurance Develop and execute unit, system and user acceptance testing for Power Platform solutions. Support test planning, defect triage and release readiness activity. Ensure solutions are reliable, accessible, performant and supportable. Apply version control, peer review and deployment practices where appropriate. Document test outcomes and support service acceptance into live operation. 5. Security, Compliance and Governance Build solutions that comply with organisational security, data protection, records management and accessibility requirements. Apply role based access controls, data loss prevention policies, environment strategy and connector governance. Work with cyber security, information governance and architecture teams to ensure solutions are secure by design. Support DPIAs, risk assessments, technical documentation and service assurance activities where required. Ensure solutions follow government and departmental standards for secure, accessible and maintainable digital services. 6. Service Support and Continuous Improvement Support live Power Platform services, including incident investigation, defect resolution and minor enhancements. Monitor performance, usage, failures and flow runs. Maintain documentation for support teams, service owners and users. Identify opportunities to simplify, automate or improve existing processes. Contribute to continuous improvement of Power Platform standards, reusable components and delivery methods. 7. Collaboration and User Centred Delivery Work in multidisciplinary teams with product, delivery, technical, data and business colleagues. Engage with users to understand needs, pain points and service outcomes. Contribute to discovery, alpha, beta and live phases of digital service delivery. Communicate technical information clearly to non technical stakeholders. Support knowledge sharing, community of practice activity and upskilling of citizen developers where appropriate. Essential Skills and Experience Technical Skills Developing and configuring solutions using Microsoft Power Platform. Building Power Apps, including canvas apps and model driven apps. Creating and maintaining Power Automate cloud flows. Working with Dataverse, including tables, relationships, forms, views and security roles. Using Microsoft 365 data sources such as SharePoint Lists, Excel, Outlook and Teams. Managing Power Platform solutions across development, test and production environments. Understanding Power Platform environment strategy, connectors, DLP policies and governance. Applying testing, documentation and deployment practices. Troubleshooting issues across apps, flows, data sources and permissions. Understanding accessibility, security and data protection considerations. Development and Engineering Skills Design, build, test, correct and document applications or configurations. Apply modern development standards and reusable design patterns. Write clean, maintainable and secure configuration or code. Use structured testing and release methods. Support services through development, transition and live operation. Work collaboratively in an agile, multidisciplinary environment. Desirable Skills and Experience Experience with Power Pages. Experience with Copilot Studio. Experience with Power BI integration and reporting. Experience with Azure DevOps, GitHub or Microsoft Power Platform pipelines. Experience with Azure Logic Apps, Azure Functions or API integrations. Experience of working in a UK government, public sector or regulated environment. Understanding of the GDS Service Standard, accessibility requirements and government digital delivery phases.

About Javelin About Javelin Javelin Global Commodities is a leading global commodities marketing, trading, logistics services and investment firm with head offices in London and wider global offices in New York, Singapore, Dubai, Switzerland, Canada, Poland, India and Australia. Javelin was founded in 2015 and operates across more than 20 different commodities including metals, coal, oil, iron ore, gas and power, freight, agriculture and renewables. We employ over 200 people but maintain a flat corporate structure and small company agility. We take pride in our values, global reach, meritocratic culture and strong work ethic. Our success over the years has been built on our guiding principles of customer service, creativity, transparency, integrity, and responsibility. Javelin has a dedicated strategy to support local and meaningful charities through volunteer days, donation matching, a 'give as you earn' scheme and other fundraising activities. We are committed to the wellbeing of our colleagues and organise various social evenings, sports clubs and lunchtime activities. Our London office has on site gym facilities and a golf/sports simulator. Discover more at The Role The Quantitative Strategies team is an integral part of Javelin's DNA and acts as the glue between commercial, functional and technical parts of the organisation. We are engaged in all aspects of deal development from conception to execution and we actively advise on risk and management for the firm's most complex trades. Tactically we are a small team of experts, ensuring the role is varied and exciting. Our role is similar to Quantitative Research at investment banks and hedge funds, but the opportunity at Javelin is broader in scope and influence. Whilst the team is embedded on the trading floor and has a front office focus, our company performs significant logistical, financing, and operational activities and our group bridges all these areas. As a result, the problems that we solve are varied and challenging and the pace can be fast and pressurised. Key Responsibilities Include: Assist commercial teams with deal structuring and risk management New trade booking plan, hedging and reporting of complex physical deals on execution Develop pricing models and libraries, capturing specific attributes of our markets and deals Evaluate risk and provide analysis of trading positions to facilitate hedging activity Build risk reporting frameworks for portfolio sensitivities, VAR, credit, working capital attribution and margin for a range of vanilla and exotic financial instruments Understand and quantify funding, accounting, FX/rates and tax implications of positions Support operations, logistics and settlements teams, troubleshooting errors and advising on how to reflect new or changing contract terms Work closely with developers in the Technology team to enhance infrastructure such as in house trade management and physical commodity scheduling platforms. Skills and Experience Required We are looking for an experienced individual with market specific knowledge of commodities, ambitious to get involved in trading decisions and risk platform design. Our candidate would have strong commodities experience, and/or good familiarity with our system architecture, and be able to apply their existing knowledge to our business from early outset. Candidate should be open to the changing priorities of our business, with a dynamic and pragmatic mindset and ability to apply their skills across multiple commodities and business lines. We have scope to hire at varying experience levels - what is important is to find a candidate with the right skills and outlook to fit our team and expanding businesses. Director: More than 10 years' experience as a quantitative analyst in the commodities space Vice President: More than 6 years' experience as a quantitative analyst in the commodities space Requirements Experienced in Python and competent programming pricing models and risk systems Commercial acumen and comfortable liaising across teams, particularly sales, trading, finance and accounting Excellent communication skills Works collaboratively. Open to ideas and suggestions within team, and mentoring more junior colleagues Problem solving skills, proactive and inquisitive Ability to work in a fast paced and sometimes pressurised environment Prior knowledge of Beacon, SecDb, Athena or Quartz would be very helpful, but not essential Benefits Annual discretionary bonus 25 days holiday Company pension scheme (10% company contribution) Private medical scheme with a range of additional wellbeing benefits Travel insurance Income protection Life assurance (5x salary) Bike2Work scheme including secure storage and showers Season ticket loan Onsite gym

Junior Compliance Analyst Location: London. DOE. This entry level role provides an excellent opportunity to gain hands on experience in regulatory compliance within the financial services industry. The successful candidate will support the compliance team in ensuring that the organisation adheres to applicable laws, regulations and internal policies. You will assist with monitoring regulatory requirements, onboarding new clients and maintaining client records as well as all other compliance records to support the development of a strong compliance culture across the business. Responsibilities Assist the compliance team in monitoring and ensuring adherence to relevant financial regulations and internal policies Support the review and maintenance of compliance documentation, policies, and procedures Help conduct compliance monitoring reviews and internal audits Assist with onboarding new clients and carrying out due diligence, KYC and AML checks Support the investigation and reporting of potential compliance issues or breaches Maintain accurate compliance records, registers and logs Assist with regulatory reporting and data collection Monitor regulatory updates and assist in summarising key changes Support compliance training initiatives for employees Work with different departments to promote best compliance practices Skills Required Essential Strong attention to detail Good organisational and time management skills Strong written and verbal communication skills Proficiency in Microsoft Office (Excel, Word, PowerPoint) Desirable Awareness of AML, KYC, FCA regulations or financial compliance frameworks Internship or work experience in financial services or compliance Interest in pursuing professional qualifications (e.g., ICA, CISI, or ACAMS) Closing date for applications: 30th June 2026 First Line Support (IT) Location: London We're looking for someone who brings a perfect blend of experience and qualifications, fits seamlessly into our culture, and thrives in a team environment while being resourceful and capable of working independently. You should have strong problem solving abilities, excellent IT skills, an exceptional eye for detail, and the drive to succeed. Responsibilities Serve as the first point of contact for IT support across the London office, handling helpdesk ticket logging, issue resolution and regular status updates, ensuring seamless communication and adherence to IT and security processes Accurately log, categorise and prioritise incoming IT helpdesk tickets using designated ticketing systems, ensuring all relevant details are captured for timely resolution Provide general user support deskside to our London office - troubleshooting issues, answering IT questions and handling password resets Provide general user remote desktop support for the Dubai, European, US and Singapore offices Support and administer local Intune devices Maintain IT equipment in conference rooms and shared office spaces Manage local IT asset inventory and procurement processes Collaborate with various teams across our offices in Europe, Singapore and USA to ensure the effective implementation of IT services, project rollouts and support, fostering a cohesive working environment Implement and maintain security best practices and compliance requirements Contribute to the continuous improvement of IT operations and user satisfaction Undertake any other duties as reasonably requested Skills Required 1+ years of experience in IT operations or support roles, preferably in a fast growing, fast paced company Strong knowledge of Windows operating systems Office 365 administration, SharePoint Experience in establishing and applying security practices and compliance requirements Excellent problem solving and troubleshooting skills Excellent written and verbal communication skills Ability to work independently with minimal supervision in a fast paced environment Passion for learning and adapting to new technologies Team first mindset with a customer centric approach to IT support Junior Developer (C# / Blazor) Location: London A web developer role building and maintaining dynamic dashboards, reports and data portals that support our broker and research desks. You will work closely with colleagues across the business, translating their requirements into clean, functional web solutions on our data driven platform. Responsibilities Support SSY broker and research desks by generating interactive dashboards and high quality market reports Build and maintain web based products and data queries as required by SSY research, brokers and their clients Assist in the development of SSY's bespoke data products, providing technical support and ensuring data integrity Collaborate with colleagues to ensure consistent technology applications and data delivery across our 28 global offices Skills Required Essential Proficiency in a strongly typed programming language (e.g. C#, Java, Typescript) Experience in SQL, including writing complex queries and managing data structures Solid understanding of core web technologies (HTML, CSS) Desirable Experience with Microsoft Fabric and Excel is a plus, specifically for migrating or integrating legacy data into modern web formats Python experience is advantageous for data processing and visualisation Understanding of good UI, UX and web design Bachelor's degree in a STEM field is preferred UK Right to Work is essential. We are unable to provide visa sponsorship for this role now or in the future. Closing date for applications: Tuesday 30th June

About Glover Glover Labs is building the agentic platform for legacy software modernization. The world's largest enterprises run on decades-old mainframe systems - COBOL, RPG, PL/I - processing trillions of dollars daily. These codebases are too complex, too sprawling, too deeply regulated, and too poorly documented for existing agentic coding tools to touch in any meaningful way. The gap isn't intelligence - it's context. Glover closes that gap. Our platform builds a holistic understanding of large legacy estates, delivers an objective assessment of the right path forward, and provides a spec-driven workflow that lets product owners and engineering teams modernize quickly, confidently, and with low risk. What used to require an 8-month, $800K systems integrator engagement to even assess - Glover delivers understanding in days and transformation outcomes in weeks. We're a small team by design - founded by three ex-Google engineers, backed by top-tier venture investors, and entering our go-to-market phase targeting Fortune 1000 enterprises across financial services, insurance, and government. We operate as AI natives. Every person at Glover uses AI tooling relentlessly to move fast, gain leverage, and create machines that create machines. We expect everyone who joins to share that orientation and push it further. The Role This is Glover's first dedicated GTM hire. You won't inherit a playbook - you'll write it. We are focused on landing a small number of highly engaged global design partners, not running a high-volume pipeline. That means this role is about depth, not breadth: crafting bespoke partnership structures, embedding with senior stakeholders at the world's largest organizations, and proving Glover's value in real production environments. The GTM organization will grow over time, but right now, you are the person leading all aspects of go-to-market for Glover Labs. Above all, we're looking for someone who is extremely thoughtful about how to gain access to the world's largest companies at the right levels - someone who studies the org chart, maps the power structure, finds the angle, and builds relationships with patience and precision. This isn't transactional selling. It's strategic, high-conviction business development that requires creativity, perseverance, and the drive to keep pushing when the first ten doors don't open. What You'll Do Own the full sales cycle from outbound prospecting through close, targeting CIOs, CTOs, and VPs of Engineering at Fortune 1000 financial services, insurance, and government organizations. Structure and negotiate strategic design partnership agreements that position Glover for deep access and long term platform adoption. Build Glover's channel and alliance strategy with global systems integrators and hyperscaler partners, positioning us as the upstream context layer for modernization engagements. Serve as the primary external voice of Glover - in executive meetings, at conferences, and in analyst briefings. Translate field signal into product direction, pricing strategy, and competitive positioning alongside the founding team. Roll up your sleeves across everything: outbound sequences, deck customization, contract redlines, event logistics. There is no "that's not my job." Use AI tooling aggressively to accelerate your own workflows - prospecting, research, outreach, deal analysis, content creation. Who You Are 7+ years selling enterprise software platforms (cloud, AI/ML, developer tools, data platforms) into large, regulated industries - financial services, insurance, or government strongly preferred. Experience selling into Fortune 500 or Global 2000 accounts with comfort navigating multi stakeholder, long cycle deals. Direct experience at or alongside hyperscalers or large systems integrators, with a working understanding of channel and alliance motions. You've worked at an early stage startup or led a new market launch inside a larger organization - you know what it means to operate without established processes. You can hold a credible technical conversation with a CTO about mainframe architecture, modernization approaches, and where AI fits. Exceptional communicator with a consultative, relationship first approach. Bias toward action, extreme ownership, zero ego. AI native - you already use LLMs, agents, and automation in your daily work. Why This Role Founding GTM leader at a well funded Seed stage startup with three ex Google founders and a deeply talented engineering team. One of the largest, most durable markets in enterprise software - legacy modernization is a $300B+ problem every Fortune 1000 company must solve. Founding team equity with strong early investor conviction. The chance to shape not just how Glover goes to market, but what the company becomes.

Support Analyst, 2nd / 3rd Line Support - Financial / Banking - Linux, Python, SQL. An exciting and challenging role providing 2nd / 3rd Line Support / Systems Administration for a primary Trading Application in a Linux environment, candidates must have in depth Linux experience with strong Database / SQL and Scripting skills. Candidates will have previous Banking / Financial experience with some Market Data / Trade Floor Support and experience with FIX protocol and client onboarding. Candidates are required to have a breadth and depth of Technical knowledge along with an unrivalled troubleshooting aptitude as you'll take ownership of incidents from start to finish and be covering a number of different areas from front to back end as opposed to passing it on and escalating to other teams. Required Skills: Troubleshooting aptitude 2nd to none - someone who enjoys the technical challenge and finding resolutions to complex problems. Experience providing Application Support including installation / configuration, upgrading and troubleshooting both in person and remotely. Strong Linux Systems Administration (Redhat, Centos, Rocky). Extensive experience of at least one Scripting Language - Powershell, Python, Ruby, JavaScript,Perl, SQL, Bash. In depth knowledge of Databases to DBA / Developer level including writing and troubleshooting SQl Code including performance issues - SQL Server / Oracle. General Networking / Infrastructure Troubleshooting and Diagnostics - DNS, DHCP, TCP/IP, Firewalls Good understanding / operational experience of ITIL methodology with any certifications beneficial. Ability work well under pressure in a vibrant and busy environment. Non Essential But Highly Desirable Skills: Previous experience supporting Futures & Options Trading, Risk and Settlement Systems. Experience with payment / settlement systems - Swift, Euroclear etc. Linux / Unix System Administration - RedHat, Ubuntu, Solaris. Knowledge of at least one of the ISV's products - Trading Technologies, Stellar, ULLink, WebICE, Object Trading, Fidessa, ION / Patsystems, Trayport. Exchange Connectivity - ICE / LIFFE, Eurex, CME / CBOT, Euronext, Xetra, Chi-X, LME, LSE, NYSE. FIX Connectivity - Client On-boarding, Support / Troubleshooting of FIX Logs / Connections. Other Market Data - Reuters, Bloomberg, CQG, Ateo (Teo and Lisa). Experience in Exchange and Vendor Management with a view to project managing exchange/system critical upgrades Whilst experience gained in Financial Markets or Financial Services - ideally banking - would be highly beneficial the core underlying Technical Skills are more important. Excellent Salary and Benefits to include: Inclusion in Personal and Company Bonus + Overtime 25 days holiday per year, increasing to 30 days. Pension Health Care, Health and Life Assurance Childcare Vouchers Season Ticket Loan Subsidised Gym Membership Cycle To Work Scheme There's a broad salary range which will be wholly dependent on level of skills and relevant Financial Industry experience. If you're an experienced Applications Support Analyst ready to take your career and technical expertise to the next level including learning a number of new skills then apply in strict confidence for more information.

Your opportunity Janus Henderson is undertaking a firm wide AI transformation programme to embed AI capabilities across every business function and become the most technologically sophisticated asset manager in the world. The AI Academy has already been established with a focus on helping users consume AI inside M365. Our next major expansion is enabling the firm's builders - engineers, architects, product owners, analysts, data engineers, quants, and platform specialists - to encode AI into the way technology is delivered and operated. The AI Business Partner for Builders will design and run this expansion. You will define the curriculum, stand up the cohort model, and partner across Technology, Investments, and Innovation to ensure all builders are utilizing modern AI tooling with broad knowledge sharing on best practices and organizational knowledge on the latest developments in AI deployment. You will also work closely with Percepta and the technology organization to extend the program into maximizing the AI native application development occurring on JHOS. This is not a purely a training role or governance role. It sits at the intersection of hands on technical credibility, program design, and change enablement - helping builders work differently and accelerate our AI transformation. This will include directly engaging with builders on specific high priority projects, and then extending that learning and knowledge to the rest of the community. You will report into the Head of Innovation and operate within the AI Academy framework alongside the AI Business Partner team, sharing infrastructure, governance, comms, and the firm wide adoption dashboard. Your primary toolkit today spans the modern AI engineering stack - coding agents, agentic harnesses, MCP, in platform AI in Snowflake and Databricks, and the JHOS / NEXUS platform Percepta is building - but the firm's AI strategy is platform agnostic. You will be expected to evaluate, learn, and deploy new tools as the landscape evolves. Responsibilities Design and run the Builders curriculum: a general foundation for all builders (tools, models, agentic patterns, cross persona level setting) and role specific tracks for app engineers, data engineers, architects, security, product owners, and analysts Design and lead the Builders cohort - the technologist equivalent of Air Traffic Controllers - running them through the material first, iterating with their feedback, and equipping them to cascade training through their teams Partner with Percepta and the Technology org to design Phase 3: enabling engineers to build AI native applications on the JHOS platform, including agent orchestration, governance, and the NEXUS workspace Run hands on, workshop style sessions grounded in participants' real sprint work covering coding agents, agentic CI/CD, planning with LLMs, spec writing and verification, long running agents, and team level skill sharing (CLAUDE.md, SKILLS.md, shared prompt libraries) Partner with Technology, Security, and Architecture to resolve adoption blockers - acceptable use guidance, access paths, budget signals, approved tools - so builders know what is sanctioned and can experiment with confidence Develop and implement appropriate metrics within the AI Academy framework: pipeline telemetry (deploy frequency, lead time, change failure rate, time to restore), survey based signals (focus time, perceived effectiveness), and adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape - coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA and industry research - and translate what matters into practical curriculum changes Collaborate with Technology, Security, and Responsible AI teams to ensure curriculum, tools, and patterns taught are aligned with the firm's governance, data privacy, and compliance posture Carry out other duties as assigned What to expect when you join our firm Hybrid working and reasonable accommodations Generous holiday policies Excellent health and wellbeing benefits including corporate membership to Wellhub Paid volunteer time to step away from your desk and into the community Support to grow through professional development courses, tuition/qualification reimbursement and more Maternal/paternal leave benefits and family services All employee events including networking opportunities and social activities Lunch allowance for use within our subsidised onsite canteen Must have skills Hands on engineering credibility - you have shipped software and you currently use modern coding agents (GitHub Copilot agent mode, Claude Code, OpenCode, or equivalent) on real work. You can sit down with a senior engineer, pair on their codebase, and add value within the hour Working fluency with the modern AI engineering stack - agentic harnesses, MCP, repo level context (CLAUDE.md / SKILLS.md), agentic CI/CD patterns, long running agents, and the tradeoffs between line completion, agent mode, and orchestrated multi agent workflows Curriculum design and facilitation experience - you have built and run technical training, workshops, or enablement programmes for engineers and other technologists, and you know the difference between a session people endure and one they apply on Monday morning Strong cross persona communication - equally credible with a staff engineer debating verification strategy, a product owner rewriting a spec for an agent, an architect worried about review throughput, and an SLT sponsor asking about ROI Practical change management instincts - you understand that tools and training are only half the job; surfacing and removing adoption blockers - access, acceptable use, budget, fear - is the other half Business analysis and measurement literacy - comfortable with DORA metrics, SPACE, developer experience research, and the difference between adoption (a prerequisite) and value (the goal). You can design a survey, interpret pipeline telemetry, and avoid vanity metrics Self directed and comfortable with ambiguity - this effort is brand new; you will define how it runs, with sponsorship but without a detailed playbook Strong documentation instincts - you produce reusable curriculum, patterns, and playbooks that outlast your direct involvement and can be picked up by cohort members and other Academy leads Experience working in a regulated environment (financial services, healthcare, legal, government) where governance, compliance, and data sensitivity shape how tools are evaluated, approved, and deployed Nice to have skills Direct experience in financial services or asset management, particularly exposure to investment technology, quant platforms, trading systems, or data engineering in a regulated context Experience building or operating AI native applications - agent orchestration, retrieval systems, evaluation pipelines, LLM application architecture Familiarity with the Janus Henderson Technology stack or analogous environments: Azure AI Foundry, APIM fronted LLM gateways, Snowflake Cortex, Databricks Genie Code, GitHub Enterprise, Jira / ServiceNow workflows Familiarity with the JHOS / NEXUS platform direction or comparable internal AI platforms built on top of foundation models Background in developer experience, platform engineering, or internal tooling - where success is measured by other engineers' productivity, not your own commits Experience leading a community of practice, internal guild, or cohort based enablement programme Product management sensibility - MVPs, iteration, user feedback, prioritisation - applied to curriculum and enablement rather than software features Familiarity with DORA research, SPACE, Accelerate, and current industry thinking on AI's impact on the software development lifecycle Public contributions - talks, writing, open source - that demonstrate ongoing engagement with the AI engineering community Supervisory responsibilities No - but you will lead the Builders effort and develop cohort members, equipping them to facilitate within their own teams Potential for growth Leadership development programmes Regular training Career development services Continuing education courses Microsoft AI, GitHub, Anthropic, and cloud platform certification pathways Exposure to a firm wide AI transformation programme with direct executive visibility Opportunity to shape a new function - the Tier 3 lead role is being established for the first time at Janus Henderson, with scope to define how AI enablement scales across the firm's technologist population and into AI native product development on JHOS Benefits Competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits Annual discretionary bonus opportunity - subject to company profit pool and performance You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role. At Janus Henderson Investors we're committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Janus Henderson Investors is an equal opportunity employer . click apply for full job details

Payments Engineering Business Analyst (Associate / Vice President) At the company, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. The company Engineers are innovators and problem solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast paced global environment. Transaction Banking (TxB) aims to bring innovative solutions to traditional banking and lending activities. We are a global team of lenders, investors, risk managers, skilled marketers, web experts and banking specialists. We provide a suite of solutions to help our customers meet their financial goals. We make direct investments in and manage risk for a portfolio of corporate loans and securities. We help transform distressed communities through investments and loans of private capital. THE TEAM Payments lay at the heart of what we are doing in Corporate Cash Management and our mission is to build a market leading payment platform that meets our corporate client's needs. We are starting with a clean slate and one singular goal in mind: build a highly scalable, resilient, 24x7 available cloud based payment platform that our corporate clients can run rely on to run and grow their businesses. HOW YOU WILL FULFILL YOUR POTENTIAL As a Technical Payments Business Analyst (Associate / Vice President) within our Payments Engineering organization, you will bridge the gap between business strategy and technical execution. Leveraging your software engineering or technical background, you will dive deep into the system architecture, understand complex data flows, and translate high level business and product requirements into robust technical specifications and system designs. You will collaborate closely with developers, architects, product managers, and operations teams to design scalable payment solutions. Your domain expertise in global payment rails and messaging standards (such as ISO 20022) will enable you to guide the engineering team through complex implementations, manage application lifecycles, and coordinate key compliance and attestation processes. This is a highly flexible role with significant growth potential, offering a clear path to transition into technical leadership or management. RESPONSIBILITIES AND QUALIFICATIONS Key Responsibilities: Technical Requirements & Design: Partner with product managers and business stakeholders to elicit requirements, and translate them into detailed technical specifications, system designs, and clear user stories for the engineering team. System & Architecture Understanding: Leverage your technical background to understand system dependencies, data models, and API integrations, ensuring proposed solutions are technically feasible and align with platform architecture. Stakeholder Management: Act as a key liaison and trusted partner between Payments Engineering, Product Management, Operations, and Compliance to align on priorities, manage expectations, and drive delivery. Payment Domain Leadership: Serve as a subject matter expert on payment processing, messaging standards (e.g., ISO 20022), and clearing networks, helping to guide the technical implementation of payment features. Compliance & Attestation Support: Coordinate and support annual scheme attestations, audits, and evidence collection for key payment rails, ensuring the platform meets all regulatory and operational standards. Agile Delivery: Actively participate in and drive Agile ceremonies (Scrum/Kanban), manage the technical backlog, and help unblock developers during the implementation phase. Basic Qualifications: Education & Background: B.S. or higher in Computer Science, Software Engineering, or a related technical field (or equivalent practical technical experience). Experience: Minimum 3 years of professional experience in a technical business analyst, systems analyst, or techno functional product role within a payments or financial technology environment. Technical Acumen: Strong understanding of software development lifecycles (SDLC), system architecture, APIs, and data modeling, with the ability to read technical documentation and discuss system designs with developers. Payments Expertise: Deep knowledge of payment processing, transaction lifecycles, and messaging standards, specifically ISO 20022 and global/domestic payment rails. Stakeholder Management: Proven track record of managing diverse stakeholders, bridging the gap between highly technical engineering teams and non technical business partners. Agile Methodologies: Comfort working in Agile operating models (practical experience with Scrum / Kanban, Jira, and Confluence). Preferred Qualifications: Prior experience as a software developer or systems engineer before transitioning into a business analyst or product role. Familiarity with UK domestic payment rails (FPS, CHAPS, BACS) and experience handling annual scheme attestations or compliance audits. Experience with payment vendor products (e.g., Finastra GPP, Volante, Fircosoft) or cloud native payment architectures (e.g., AWS). Understanding of payment regulations (e.g., PSD2/PSD3, Open Banking) and AML/sanctions screening. Ambition and capability to grow into a leadership or people management role within a fast paced engineering organization. ABOUT the company At the company, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. The the company Group, Inc., 2023. All rights reserved. The company is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. BENEFITS Healthcare & Medical Insurance - wide range of health and welfare programs including medical, dental, short term disability, long term disability, life, accidental death, labor accident and business travel accident insurance. Holiday & Vacation Policies - competitive vacation policies based on employee level and office location; generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement - assistance with saving and planning for retirement, financial support for higher education, and other benefits to help employees prepare for the unexpected. Live financial education and content on various topics. Health Services - medical advocacy service, counseling and referral services through the Employee Assistance Program (EAP), global medical, security and travel assistance, and workplace ergonomics program. Some offices have on site health centers. Fitness - on site fitness center for eligible employees; reimbursement for fitness club membership or activity up to pre approved amount. Child Care & Family Care - on site child care centers, mother and baby rooms, homework rooms, counseling, resources for expectant parents and programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends available.

City: London Division: Corporate - CFO Why work for us? A career at Janus Henderson is more than a job, it's about investing in a brighter future together. Our Mission at Janus Henderson We help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. Our Values Clients Come First - Always Execution Supersedes Intention Together We Win Diversity Improves Results Truth Builds Trust If our mission, values, and purpose align with your own, we would love to hear from you! Your opportunity Janus Henderson is undertaking a firm-wide AI transformation programme to embed AI capabilities across every business function and become the most technologically sophisticated asset manager in the world. The AI Academy has already been established with a focus on helping users consume AI inside M365. Our next major expansion is enabling the firm's builders-engineers, architects, product owners, analysts, data engineers, quants, and platform specialists-to encode AI into the way technology is delivered and operated. The AI Business Partner for Builders will design and run this expansion. You will define the curriculum, stand up the cohort model, and partner across Technology, Investments, and Innovation to ensure all builders are utilizing modern AI tooling with broad knowledge sharing on best practices and organizational knowledge on the latest developments in AI deployment. You will also work closely with Percepta and the technology organization to extend the program into maximizing the AI-native application development occurring on JHOS. This is not a purely a training role or governance role. It sits at the intersection of hands on technical credibility, program design, and change enablement-helping builders work differently and accelerate our AI transformation. This will include directly engaging with builders on specific high priority projects, and then extending that learning and knowledge to the rest of the community. You will report into the Head of Innovation and operate within the AI Academy framework alongside the AI Business Partner team, sharing infrastructure, governance, comms, and the firm wide adoption dashboard. Your primary toolkit today spans the modern AI engineering stack-coding agents, agentic harnesses, MCP, in platform AI in Snowflake and Databricks, and the JHOS / NEXUS platform Percepta is building- but the firm's AI strategy is platform agnostic. You will be expected to evaluate, learn, and deploy new tools as the landscape evolves. Design and run the Builders curriculum: a general foundation for all builders (tools, models, agentic patterns, cross persona level setting) and role specific tracks for app engineers, data engineers, architects, security, product owners, and analysts Design and lead the Builders cohort - the technologist equivalent of Air Traffic Controllers - running them through the material first, iterating with their feedback, and equipping them to cascade training through their teams Partner with Percepta and the Technology org to design Phase 3: enabling engineers to build AI native applications on the JHOS platform, including agent orchestration, governance, and the NEXUS workspace Run hands on, workshop style sessions grounded in participants' real sprint work covering coding agents, agentic CI/CD, planning with LLMs, spec writing and verification, long running agents, and team level skill sharing (CLAUDE.md, SKILLS.md, shared prompt libraries). Partner with Technology, Security, and Architecture to resolve adoption blockers - acceptable use guidance, access paths, budget signals, approved tools - so builders know what is sanctioned and can experiment with confidence Develop and implement appropriate metrics within the AI Academy framework: pipeline telemetry (deploy frequency, lead time, change failure rate, time to restore), survey based signals (focus time, perceived effectiveness), and adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape-coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA and industry research-and translate what matters into practical curriculum changes Collaborate with Technology, Security, and Responsible AI teams to ensure curriculum, tools, and patterns taught are aligned with the firm's governance, data privacy, and compliance posture Carry out other duties as assigned What to expect when you join our firm Hybrid working and reasonable accommodations Generous Holiday policies Excellent Health and Wellbeing benefits including corporate membership to Wellhub Paid volunteer time to step away from your desk and into the community Support to grow through professional development courses, tuition/qualification reimbursement and more Maternal/paternal leave benefits and family services All employee events including networking opportunities and social activities Lunch allowance for use within our subsidized onsite canteen Must have skills Hands on engineering credibility. You have shipped software, and you currently use modern coding agents (GitHub Copilot agent mode, Claude Code, OpenCode, or equivalent) on real work. You can sit down with a senior engineer, pair on their codebase, and add value within the hour Working fluency with the modern AI engineering stack - agentic harnesses, MCP, repo level context (CLAUDE.md / SKILLS.md), agentic CI/CD patterns, long running agents, and the tradeoffs between line completion, agent mode, and orchestrated multi agent workflows Curriculum design and facilitation experience - you have built and run technical training, workshops, or enablement programmes for engineers and other technologists, and you know the difference between a session people endure and one they apply on Monday morning Strong cross persona communication. Equally credible with a staff engineer debating verification strategy, a product owner rewriting a spec for an agent, an architect worried about review throughput, and an SLT sponsor asking about ROI Practical change management instincts. You understand that tools and training are only half the job; surfacing and removing adoption blockers - access, acceptable use, budget, fear - is the other half Business analysis and measurement literacy. Comfortable with DORA metrics, SPACE, developer experience research, and the difference between adoption (a prerequisite) and value (the goal). You can design a survey, interpret pipeline telemetry, and avoid vanity metrics Self directed and comfortable with ambiguity. This effort is brand new; you will define how it runs, with sponsorship but without a detailed playbook Strong documentation instincts. You produce reusable curriculum, patterns, and playbooks that outlast your direct involvement and can be picked up by cohort members and other Academy leads Experience working in a regulated environment (financial services, healthcare, legal, government) where governance, compliance, and data sensitivity shape how tools are evaluated, approved, and deployed Nice to have skills Direct experience in financial services or asset management, particularly exposure to investment technology, quant platforms, trading systems, or data engineering in a regulated context Experience building or operating AI native applications - agent orchestration, retrieval systems, evaluation pipelines, LLM application architecture Familiarity with the Janus Henderson Technology stack or analogous environments: Azure AI Foundry, APIM fronted LLM gateways, Snowflake Cortex, Databricks Genie Code, GitHub Enterprise, Jira / ServiceNow workflows Familiarity with the JHOS / NEXUS platform direction or comparable internal AI platforms built on top of foundation models Background in developer experience, platform engineering, or internal tooling - where success is measured by other engineers' productivity, not your own commits Experience leading a community of practice, internal guild, or cohort based enablement programme Product management sensibility - MVPs, iteration, user feedback, prioritisation - applied to curriculum and enablement rather than software features Familiarity with DORA research, SPACE, Accelerate, and current industry thinking on AI's impact on the software development lifecycle Public contributions - talks, writing, open source - that demonstrate ongoing engagement with the AI engineering community Supervisory responsibilities No - but you will lead the Builders effort and develop cohort members, equipping them to facilitate within their own teams Potential for growth Leadership development programmes Regular training Career development services Continuing education courses Microsoft AI, GitHub, Anthropic, and cloud platform certification pathways Exposure to a firm wide AI transformation programme with direct executive visibility Opportunity to shape a new function - the Tier 3 lead role is being established for the first time at Janus Henderson with scope to define how AI enablement scales across the firm's technologist population and into AI native product development on JHOS . click apply for full job details

As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting-edge, production-grade AI solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business specific use case solutions. Collaborating with the Data Platform to ingest and transform data from multiple systems, model data, and engineer data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions. Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform. Supporting, governing, and enabling company wide adoption of emerging AI technologies. Purpose of the role We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & data scientists, while remaining hands on enough to solve complex engineering bottlenecks. You will support Use Case design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation. Responsibilities Technical Leadership & Engineering Design Agentic Systems: Design and scale robust, secure, and production ready multi agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation. Define Engineering Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect. Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines. AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise grade safety, security, and compliance. Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer facing AI assets, including prompt libraries and automated testing agents. Team Mentorship & Delivery Grow the team: Act as a technical mentor to a team of intermediate and junior AI engineers, fostering a culture of continuous learning, clean code, and agility. Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints. Drive MVP to Production: Shift the team's focus from sandboxed proof of concepts to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition. Evolve AI Maturity Support the company's evolving AI strategy, providing an expert voice on Use Case identification, platform identification and tool selection. Advise the AI portfolio Lead in scaling impact and AI capability across the company, beyond the Group AI Team. Stay up to date on market trends, new opportunities, and the changing landscape of AI technologies. Requirements Experience AI Orchestration & Development: Expert level experience building complex LLM powered systems and multi agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimisation of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerised workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate engineering talent. Knowledge & Skills Autonomy: Works with high autonomy under broad strategic guidance. Accountable for defining and meeting technical, architectural, and delivery goals, establishing milestones, and assigning tasks. Influence: Exerts major technical influence across the organisation, partners, and peers. Partner with cross functional business and product leaders, making key architectural decisions that affect budgets, timelines, and scalability. Complexity: Manages diverse, highly complex, and unpredictable technical challenges. Uses fundamental engineering principles to connect cutting edge AI research with practical enterprise software. Business Skills: Advises executives on AI trends, risks, and tools. Bridges the gap between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem solving. Technical Expertise & Tools Python: Advanced, production grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimisation strategies for large scale BigQuery environments. Relevant Qualifications Google Cloud Certified - Cloud Engineer (desirable) Google Cloud Certified - Professional Data Engineer / Cloud AI Engineer (desirable) Degree Qualification or Equivalent: A Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field is desirable; however, a proven track record of architecting and shipping production grade commercial AI systems is highly valued and may substitute for specific academic credentials. IT HNC/HND courses will also be accepted. Benefits Competitive salary and bonus scheme Hybrid working Rentokil Initial Reward Scheme 23 days holiday, plus 8 bank holidays Employee Assistance Programme Death in service benefit Healthcare Free parking At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute. We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to if you need anything.

This is an exciting opportunity for a Endur / Physical LNG Business Analyst with Energy Trading experience to join a Global Consultancy working on-site with an Energy giant. Inside IR35 - £750-£800 Per Day 4 days a week in office / Canary Wharf Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. The team supports some of the largest global firms and most recognizable brands in solving their most significant challenges in a world of constant change. With expertise spanning strategy, trading transformation, supply chain optimization, digital innovation, and mobility solutions. Our team delivers innovative solutions across power, gas, and renewables markets, helping clients navigate regulatory changes and market complexities. About Your Role We are looking for a Business Analyst who knows Endur in a Front/Mid Office environment and is more than comfortable specifying work for developers, configuring Endur, liaising with Traders etc. The Endur/ Physical LNG Business Analyst will have expertise in energy trading to contribute to key projects involving optimization, scheduling, ancillary services, trade entry, and power exchange operations. Requirements Have several years of front office LNG experience. ETRM Endur experts with 5+ year relevant experience. Have a broad business skill set including stakeholder management, problem-solving, and resilience. Have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences. Can undertake business process analysis, requirements gathering, data analysis, and documentation. Can lead and contribute to application changes in LNG/ Power trading & dispatch systems. Have experience in working on ancillary services and trade entry operations. Preferred Qualifications Bachelor's or Master's degree in Energy, Engineering, Economics, Finance, or a related field. Certifications in Endur ETRM systems, Power Trading, Gas Trading or Energy Markets are a plus. We believe in equality of opportunity for all job applicants regardless of gender, marital status, race, colour, nationality, ethnic origin, creed or religion, disability, sexual orientation or age.