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Select how often (in days) to receive an alert: Job Code: 12976 Country: GB City: London Skill Category: Global Markets Description Job Title: Quantitative Structurer - Platform & AI Corporate Title: Vice President / Executive Director Division: Global Markets Location: London Company overview Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit Business Overview The Global Markets Structuring team in EMEA delivers bespoke solutions for clients' hedging and investment requirements across fixed income asset classes - Rates, Foreign Exchange, Credit, and Hybrids. The team engages in end-to-end deal modelling that involves pricing of structured payoffs, suggesting and marketing trade ideas to sales/clients and preparing relevant documentation. Our client services cover both high-volume flow products and carefully tailored structured solutions. The Structuring Platform & AI group is a globally distributed team within Structuring, responsible for building end-to-end digital platforms that scale key structuring business verticals. With a client-centric focus and differentiated by innovation, these platforms deliver market-leading capabilities across the full product lifecycle - from pricing, booking, and risk management to trade idea generation and client servicing - leveraging modern engineering and AI to drive significant efficiency and scale across high-volume flow verticals. Position Specifications The candidate will join as a Strategist in the Structuring Platform & AI group based in London, UK. This is a revenue-aligned role with line of sight to client trades. Working closely with Product Structurers, Sales, Trading, and Quant teams, the candidate will bring modern engineering and AI capabilities to the structured products workflow. The role reports jointly to the Head of Structuring Strategists in Singapore and the GM EMEA Structuring Heads. The role is within a global team spread across Singapore, Mumbai & London. The role combines technical expertise with structured products awareness to design, build, and own autonomous platforms across primarily Rates, Credit and Currency product verticals. This role offers potential for self-motivated individuals to shape and lead Platform & AI functions across a high growth and focus platform, building domain expertise across multiple asset classes. Job Responsibilities Architect and deliver end-to-end digital platforms that scale Fixed Income structuring verticals, covering pricing, booking, lifecycle management, and client servicing Work alongside Product Structuring Specialists to understand payoff design, product mechanics, and client requirements, translating business needs into scalable platforms. Apply modern AI and Generative AI techniques - including RAG, agent architectures, and context engineering - to enhance structuring workflows such as trade idea generation, documentation, and client engagement Drive the design and development of production-grade applications with strong emphasis on system architecture, reliability, and integration with internal infrastructure Contribute to and leverage the global platform ecosystem, ensuring regional solutions align with global development standards and integrate seamlessly with existing capabilities across regions Collaborate with Sales, Trading, Quant, and Technology teams to identify opportunities for efficiency and scale across high-volume flow products Stay current with emerging technologies and industry trends, proactively proposing innovative solutions that strengthen the structuring franchise Job Requirements Degree in Computer Science, Quantitative Finance, Mathematics, or Economics from an accredited institution; advanced degree (Masters or PhD) is a plus Strong Python software engineering skills with proficiency in system architecture, DevOps, and integration with enterprise infrastructure Executive Director equivalent level of experience with a strong track record of building and owning production-grade, end-to-end software solutions Familiarity with structured products, derivatives, and preferably Structuring landscape; experience working alongside a Structuring desk, quantitative Strategists, or Desk quants is valued Working knowledge of modern AI and Generative AI frameworks and concepts - including RAG, agent architecture, context engineering, and orchestration tooling - ideally with applied experience in a financial context Strong analytical and problem-solving abilities with a commercial mindset and attention to detail Ability to communicate complex technical concepts clearly to both technical and business stakeholders Ability to work effectively in a fast-paced environment managing multiple stakeholders and conflicting priorities Desirable skills Experience in building platforms delivering structured products, including pricing and distribution Experience with quantitative modelling and derivatives pricing Hands-on experience with AI/ML frameworks and tooling such as LangChain, LangGraph, vector databases, and MCP-based orchestration Expertise in relational and/or NoSQL databases, data pipelines, and ETL processes Experience with microservices architecture and web development Knowledge of data visualisation tools (e.g., PowerBI, Tableau) and dashboard development Good creativity and lateral thinking skills with an entrepreneurial mindset Nomura Leadership Behaviours Explore Insights & Vision: Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future. Making Strategic Decisions: Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations. Inspire Entrepreneurship in People: Inspire team members through effective communication of ideas and motivate them to actively enhance productivity. Elevate Organizational Capability: Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing. Inclusion: Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect). Right to Work The UK Government have taken steps to reduce net migration to the UK by limiting the number of overseas workers coming to the UK for employment. Please note that whilst we are able to consider applications from overseas workers from outside the UK (who require a Tier 2 Skilled Worker visa) we can only employ them if we can provide evidence that this is a genuine vacancy for a qualified role. Diversity & Inclusion Nomura is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all our employees. We do not discriminate on the basis of age, disability, gender identity and gender expression, pregnancy and maternity, marriage and civil partnership, race, religion or belief, sex or sexual orientation. If you require any assistance or reasonable adjustments due to a disability or long-term health condition, please do not hesitate to contact us. Nomura is an Equal Opportunity Employer

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking an experienced Enterprise Account Executive to drive adoption of Anthropic's AI solutions across the life sciences sector throughout EMEA. In this role, you'll leverage your deep understanding of the pharmaceutical and biotech ecosystem to help organizations accelerate drug discovery, optimize clinical operations, and bring treatments to patients faster through responsible AI implementation. Responsibilities Develop and execute strategic sales plans to drive adoption of Anthropic's AI solutions within large pharmaceutical, biotech, and medical device organizations Build and maintain relationships with key decision-makers at global pharma companies, specialty biotechs, and CROs across EMEA Partner with our HCLS Applied AI team to articulate technical capabilities and develop compelling value propositions for life sciences-specific applications Identify and qualify new opportunities through discovery calls, demonstrations, and collaborative problem solving sessions Navigate complex enterprise buying processes within large pharma organizations, negotiate contracts, and close strategic deals Leverage our strategic partnerships to expand our reach in the life sciences market Monitor and report on sales pipeline, market trends, and competitive landscape Capture and communicate industry specific requirements to inform product development Represent Anthropic at life sciences industry events and conferences Collaborate cross functionally to ensure our solutions address pharma specific challenges around data privacy, security, and regulatory compliance - including EU AI Act considerations and EMA guidance on AI in medicines development You may be a good fit if you have 8+ years of enterprise sales experience within the EMEA market, with at least 5 years selling technology solutions into large pharmaceutical, biotech, or medical device companies Proven track record of exceeding quota and closing complex enterprise deals with global pharma or specialty biotech organizations Deep understanding of life sciences industry dynamics, including R&D workflows, clinical development, drug commercialization, regulatory affairs, and digital transformation initiatives Experience navigating lengthy procurement cycles and multi stakeholder decision processes within large, matrixed pharma organizations Established relationships with senior executives across R&D, IT, and commercial functions at major pharmaceutical and biotech companies Ability to translate technical AI capabilities into business value and ROI in a life sciences context Experience collaborating with technical teams to develop tailored solutions Excellent communication and presentation skills, with the ability to engage credibly with both scientific and business audiences Familiarity with European data privacy and health data frameworks, including GDPR, the EU Health Data Space (EHDS) regulation, GxP requirements, and EMA guidance on AI/data driven technologies The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £280,000 - £330,000 GBP Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large scale research efforts. And we value impact - advancing our long term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to insurance organisations across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with insurers, reinsurers, brokers and MGAs. You'll leverage your consultative sales expertise in the insurance sector to propel revenue growth while becoming a trusted partner to insurance stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in underwriting, claims handling, and distribution. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with insurance decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the insurance sector. Navigate complex insurance organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to insurance procurement cycles, vendor risk assessment, and budgeting processes to meet and exceed revenue quotas. Analyse insurance market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within underwriting teams, claims operations, actuarial functions, and distribution channels. Collaborate cross-functionally to differentiate our offerings for insurance applications Navigate complex insurance stakeholder ecosystems including executives, underwriting and claims leadership, IT departments, risk and compliance functions, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from users and conveying insurance market needs. Provide insights that strengthen our value proposition for insurance Continuously refine the insurance sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: 8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies A track record of managing complex sales cycles within insurance organisations and securing strategic deals by understanding both technical requirements and insurance use cases Demonstrated ability to navigate insurance organisational structures and procurement processes, building consensus among diverse stakeholders including executives, underwriting and claims leadership, and IT departments Extensive experience negotiating complex agreements within insurance procurement frameworks, vendor risk and third-party assurance policies Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various insurance audiences, from underwriters and claims managers to senior executives Deep understanding of insurance buying cycles, decision making processes, and key pain points, including the regulatory environment insurers operate within A strategic, analytical approach to assessing the insurance market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for insurance use The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £280,000 - £330,000 GBP Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you - addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process. Find Jobs in United Kingdom on Arbeitnow

Fractile was founded in 2022 on the bet that, eventually, the world's most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re-invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts. The workloads that push to the limits of the current frontier are already transformational; it is the technical and economic limits on inference speed that are constraining progress. The defining work of the 21st century will be marked by the engine of inference delivering immense and diffuse chains of intellectual inquiry, in drug discovery, in software engineering, in materials discovery, in any field where progress is driven by deep reasoning and intelligence to resolve complex problems. The Role We are looking for Senior ML Compiler Engineers with experience in machine learning compilation to work on the compiler stack for our ground-breaking AI accelerators. You can be based in our Bristol office or London. Fractile isn't another AI startup gluing together frameworks. We are designing a full-stack execution engine: hardware, compiler, runtime, to build the world's largest language models 100 x faster than today's systems. That ambition forces us to rethink everything from first principles. For compiler engineers, this is a rare moment: the architecture is still being shaped. The IR, the lowering strategy, the optimisation passes, the execution model - you get to define its future. In this role, you will: Develop the machine learning compiler stack for Fractile's innovative AI acceleration hardware Enable industry-leading performance of the latest LLMs on Fractile's accelerators Work with hardware, driver runtime, and ML engineers in a highly collaborative hardware-software co-design methodology It would be great if you have: Proven experience of the development of machine learning compilers using industry standard technologies such as MLIR or TVM Up-to-date knowledge of machine learning techniques and technologies A good understanding of computer architecture and performance optimisation techniques Excellent C/C++ skills and solid experience of industry standard development tools and technologies An creative and innovative mindset, and a willingness to take ownership and drive results in a fast-paced environment Computer Science, Electronic Engineering, Maths, Physics, or related degree and 4+ years of industry experience You may also have: Previous experience in a startup or small team environment What We Offer Competitive salary: A competitive salary reflective of your experience and the specialist nature of the role. Equity & Ownership: meaningful equity so everyone shares in the value creation Benefits: Private Medical, Dental and Vision, Contributory Pension, 25 Days holiday plus bank holidays and Life/Critical Illness Insurance. Diverse & fun office: we believe the hardest problems get solved by the broadest range of minds. We are committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment. Fractile is seeking to increase the clock speed of global progress, one chip at a time. We've recently raised $220M from investors including Founders Fund and Accel and our most important work lies ahead. Join us! Export controls Our work involves technologies subject to UK, US and other international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law. We'll be transparent about this throughout the hiring process.

LGT Wealth Management UK LLP is a UK-based partnership, wholly owned by the private banking group LGT, which is in turn owned by the Princely Family of Liechtenstein. When we set up LGT Wealth Management in 2008, our aim was to offer a fresh approach to wealth management. Alongside the LLP we also have two other entities which focus on US and Jersey based clients. Our head office is based in London however we have a presence in Edinburgh, Jersey, Leeds, Birmingham and Bristol. Our plan was simple: put our clients first by providing a transparent service, designed around what is right for each of them. By drawing together in-depth knowledge and experience from across the industry, we provide a flexible, bespoke service adapted to each of our clients' needs. Our mission is to create long-term value for all stakeholders. Our culture encourages individuals to generate, develop and implement ideas which will strengthen our business. Belonging, respect, integrity, conviction and entrepreneurship are our core values. As our brand recognition grows, we are fast becoming an employer of choice in our sector. We have over £29 billion in funds under management and circa 700 staff. Responsibilities Partner closely with business units and support functions to understand workflows, pain points and opportunities where AI can create measurable value. Lead AI use cases end to end from discovery and scoping through prototyping, implementation, rollout and continuous improvement. Design, build and adapt AI agents and AI-enabled workflows to fit real business processes, enterprise constraints and the requirements of a regulated banking environment. Take ownership of deployed AI agents by monitoring their usage, performance and business impact and by driving ongoing optimisation in collaboration with stakeholders. Facilitate workshops and working sessions with business teams to identify, prioritise and shape high-impact AI use cases and practical implementation paths. Act as a bridge between business and technology by translating business requirements into technical solutions and explaining technical concepts in a clear and accessible way. Capture learnings from deployments and feed them back into reusable patterns, improvements and scalable approaches across the organisation. Your Profile Degree in computer science, engineering, data science, business informatics, innovation management, finance, economics or a related field; equivalent practical experience is also welcome. Experience working effectively at the intersection of business and technology. Strong understanding of business processes and stakeholder needs with the ability to build trust and work closely with internal clients and cross-functional teams. Hands-on experience building and deploying practical technology solutions in complex enterprise environments. Strong understanding of modern AI systems and agentic workflows including LLM integration, retrieval, tool use, context orchestration, evaluations, guardrails, observability and human-in-the-loop workflows. Ability to analyse complex workflows, simplify ambiguity and translate business requirements into practical and responsible solutions. Strong communication skills in English; German and additional languages relevant to LGT locations are an advantage. Preferred Qualifications Experience in private banking, wealth management or financial services, ideally in areas such as client advisory, onboarding, KYC, investment processes, operations, risk or compliance. Familiarity with enterprise requirements related to security, governance, risk management, data privacy and regulatory expectations. Experience with modern software development, data management, system integration, cloud technologies, and relevant AI or automation tools. Experience supporting adoption, change and continuous improvement in complex organisational environments. Employee Value Proposition A place for people from all walks of life: our unique culture and values are what make our company stand out from other firms. At LGT, we offer more than investment expertise - we bring a legacy of trust and long-term thinking shaped by the values of the Princely Family of Liechtenstein. Discover the people and principles behind our client-first approach.

Director, Global Service Delivery (f/m/d) - EMEA Based Job ID 517466 Posted since 12-Aug-2026 Organization Field of work Information Technology Company Siemens Industry Software GmbH Experienced Professional Job type Full-time Hybrid (Remote/Office) Employment type Permanent Location(s) Farnborough - Hampshire - United Kingdom Hamburg - Hamburg - Germany London - London City of - United Kingdom We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation- helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential. The Director, Global Service Delivery (SD) is a senior leadership role within Global Engineering Services (GES), part of Siemens' Global Technologies & Infrastructure (GTI) organization. This role owns the end-to-end delivery of engineering support services across three global regions - Americas, EMEA, and APAC - serving approximately 17,000 software engineers worldwide. The Director is accountable for service quality, regional consistency, people leadership, and the ongoing transformation of the SD function. KEY RESPONSIBILITIES Strategic Leadership Define and execute the global Service Delivery strategy aligned with GES and GTI priorities. Set the vision, operating model (Follow-the-Sun), and performance standards for SD across all three regions. Lead the annual planning cycle for SD: headcount, budget, initiatives, and OKRs. Represent the SD function at GES leadership reviews, executive briefings, and cross-functional forums. Drive continuous improvement in service delivery maturity, tooling, and process standardization. Operational Excellence Own the end-to-end SLO/SLA framework for the SD function globally; ensure targets are met and reported. Partner with the Global Operations Excellence (GOE) team to enforce standards, monitoring, and governance. Ensure all regions are aligned on tooling, processes, CMDB accuracy, and asset management practices. Oversee the successful delivery of global programmes (e.g., PCD migration, device refresh, CMDB clean-up etc). Identify operational risks and blockers across regions; escape and resolve proactively. Directly lead three Regional SD Leads (Americas, EMEA, APAC) and maintain accountability for the full SD organization. Build a high-performing, engaged, and geographically distributed team; develop regional leaders and successors. Drive talent reviews, performance management, and calibration across the SD function. Champion a culture of accountability, customer focus, and continuous improvement. Stakeholder & Cross-Functional Engagement Serve as the primary SD point of contact for peer GTI functions. Build and maintain strong relationships with key business stakeholders. Collaborate with regional SD leads and managers to address customer escalations and service issues. Provide regular operational reporting to the Senior Director, GES and GTI leadership. Engineering Segments Engagement Own the customer relationship between GES and engineering segments globally; serve as the primary point of contact for segment leads regarding infrastructure, service quality, and engineering productivity. Establish and maintain a regular engagement cadence with segment representatives to understand development pipeline needs, CI/CD tooling requirements, and environment pain points. Proactively identify opportunities to improve developer productivity and engineering experience - including build performance, environment stability, tooling access, and onboarding friction. Collaborate with SD Leads, GOE, and Architecture & Standards teams to translate segment feedback into actionable service improvements and capacity planning inputs. Track and report on segments satisfaction, developer productivity trends, and GES contribution to engineering velocity - escalate where GES environment is a constraint on delivery. QUALIFICATIONS & EXPERIENCE Required Extensive relevant experience in infrastructure management, service delivery, or technology operations, with a significant portion of that time spent in senior leadership - managing global or multi-regional teams at scale. Proven track record leading large, geographically distributed teams across multiple countries and regions. Deep understanding of ITSM frameworks (ITIL) and IT governance practices (COBIT or equivalent). Strong experience managing budgets, headcount planning, and resource allocation at a global scale. Demonstrated ability to drive transformation programmes and change across complex organizations. Experience operating in a matrixed, multinational corporate environment. Excellent written and verbal communication skills in English; comfortable presenting to executive audiences. Sound understanding of asset management practices, including CMDB governance, hardware lifecycle management, and software asset inventory at enterprise scale. Demonstrable knowledge of data center operations and management, including RDC/colocation environments, capacity planning, and infrastructure governance. Working knowledge of server and storage technologies, including enterprise server platforms, SAN/NAS storage, and backup/recovery frameworks. Familiarity with vulnerability management processes, including risk prioritization, remediation tracking, and coordination with information security teams to ensure compliance. Familiarity with software development practices and the software development lifecycle (SDLC); ability to engage credibly with engineering and development teams on environment and tooling requirements. Working knowledge of CI/CD concepts and common pipeline patterns; exposure to CI/CD platforms, sufficient to understand engineering dependencies and environment requirements. Understanding of developer workflow tooling and environment needs - including source control, build systems, artifact management, and test infrastructure - as they relate to GES infrastructure provisioning and support. Preferred Background in software engineering, or large-scale enterprise Technology environments. Hands-on or oversight experience with virtualization technologies (VMware ESXi, OpenStack, or equivalent platforms). Experience with high-performance or grid computing environments - including job scheduling, compute cluster management, and distributed compute platforms. Understanding of enterprise networking concepts, sufficient to oversee network-dependent service delivery. Experience working with or transitioning to cloud-managed or hybrid infrastructure models. Prior experience in a software engineering, DevOps, or platform engineering role - or significant direct collaboration with software development teams; comfort discussing CI/CD pipelines, build performance, and developer environment requirements. EDUCATION Degree - Required Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Software Engineering, or a closely related technical discipline. Degrees in other disciplines will be considered where accompanied by strong relevant experience. Advanced Education - Preferred Master's degree in Computer Science, Information Technology, Engineering Management, or an MBA with a technology focus. CERTIFICATIONS IT Service Management & Governance - Preferred ITIL v4 Foundation - required; Managing Professional or Strategic Leader tracks highly valued. COBIT 2019 Foundation or Practitioner - IT governance and control framework knowledge. ISO 27001 Lead Implementer or Auditor - advantageous for security governance oversight. PMP (Project Management Professional) - PMI. PRINCE2 Practitioner or PRINCE2 Agile. LOCATION & TRAVEL This is a global role with flexibility on base location. Regular international travel to regional sites and team face-to-face meetings is expected. REPORTING STRUCTURE Reports to: Senior Director, Global Engineering Services (GES) Direct reports: Regional SD Leads - Americas, EMEA, APAC Functional scope: Full global SD organization Why us? A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we Work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! The primary locations for this opportunity are Germany, UK and Ireland. The applicable salary ranges for these locations are: 117,600 Min - 205,900 Max EUR (Germany) 100,300 Min - 175,400 Max GBP (UK) 109,400 Min - 196,700 Max EUR (Ireland) This role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's job-related skills . click apply for full job details

Global Banking Markets - Quantitative Desk Strategist - Associate - London Job Description Job Summary & Responsibilities Goldman Sachs' Strats business unit is a world leader in developing quantitative and technological techniques to solve complex business problems. Working within the firm's trading, sales, banking and investment management divisions, strats use their mathematical and scientific training to create financial products, advise clients on transactions, measure risk, and identify market opportunities. Securities Strats play important roles in several areas. Some Strats sit on trading desks, creating cutting-edge derivative pricing models and developing empirical models to provide insight into market behavior. Others develop automated trading algorithms for the firm and its clients, taking an active part in the increasing shift from voice to electronic trading. Sales Strats work directly with the firm's sales force and clients, analyzing exposures, structuring transactions, and applying quantitative concepts to meet client needs. Between these teams, Core Strats design and develop complex parallel computing architectures, electronic trading tools, and advanced algorithms. Basic Qualifications Successful members of our team hold Bachelors, Masters and Doctoral degrees in Mathematics, Computer Science, Physics, Engineering, and many other fields. Although the work performed by Strats is financial in nature, applicants need not have specific financial knowledge or experience to apply. As a business unit, we are interested in bright individuals who have advanced mathematical and computational backgrounds and a willingness to learn about finance. We are interested in applicants who possess skills in several of the following areas: Mathematics: Understanding of partial differential equations, stochastic calculus, time series analysis, statistics and numerical techniques. Technology: Experience building large-scale distributed systems, implementing fundamental algorithms and working in different programming languages. Finance: Understanding of market dynamics and conventions, and of different products' behaviors and specifications. Goldman Sachs is an equal opportunities employer and is committed to the principle of diversity. Goldman Sachs conducts background checks on individuals offered employment with the firm and employment with Goldman Sachs is conditional upon individuals successfully completing those checks. As past of the background check process, Goldman Sachs may need to obtain a record of disclosable criminal convictions form a government agency such as the Criminal Records Bureau. The firm has adopted policies on the recruitment of ex-offenders and on the retention, storage and disposal of criminal information which are available on request. Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor. ABOUT GOLDMAN SACHS At Goldman Sachs, 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. Learn more about our culture, benefits, and people at Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Job Info Job Identification 182300 Job Category Associate Posting Date 08/21/2026, 01:31 PM Locations London, Greater London, England, United Kingdom Healthcare & Medical Services 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 We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount). We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class-leading benefits our firm has to offer. Learn More

Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role Exists The Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI-augmented threats, sprawling collaboration surfaces, multi-cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait. This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job. The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI-First Ways of Working Mimecast is an AI-first engineering organisation. This is not a cultural aspiration - it is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis. This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data-contract stability, and evaluation coverage for AI-driven features. Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. The ECS Domain ECS covers the following product and capability areas: Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution Space The role engages at the problem-framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product Artefacts The durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first-class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural Context Engineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI-assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without Blocking Governance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit Economics Infrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every Altitude A one-page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring 10+ years building and operating production SaaS systems, with at least 3 years in a Senior Architect or equivalent role carrying product-shaping responsibility. A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole. Comfort operating across cloud-native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade-offs with confidence, without needing to be the most technically specialist person in the room. Product Understanding - Not Just Technical Understanding prior close collaboration with Product Managers and UX designers, with an understanding of jobs-to-be-done framing and a real opinion on what makes a product bet good - not just a technical bet. Genuine customer orientation: asking what problem the customer has before asking how to build the feature. Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one. The Right Mindset for Complex, Inherited Systems An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context. Structure and discipline as cognitive defaults, not imposed processes - thorough, well-reasoned artefacts, and a habit of leaving things clearer than they were found. An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive. Self-Direction and Strategic Initiative A proactive self-starter who identifies the right problems to work on without being told, and drives them to resolution. Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment. Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause. Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem-solver who knows how to navigate to an answer, not a mnemonic database. AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping. Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions. Bonus Points Background in email security, threat detection, DLP, identity, or data platforms. Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture. Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches. Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud-native security SaaS. What We Offer Impact: architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars. Voice: a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane. Senior peers: a small, high-trust Architecture Leadership Team where everyone operates at a high level. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience. 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role. A track record of product-shaping responsibility, not just technical delivery. Active, daily use of AI development tools in a professional setting - not experimentation, practice. Equal Opportunity Statement Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. Commitment to Diversity and Inclusion We're proud to be an Equal Opportunity and Aff We particularly welcome applicants from traditionally underrepresented groups. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won't affect your application. Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. We save companies the embarrassment of awkward data slip ups by disrupting cybercriminal activity. We think fast, go big and always demand more. We work hard, deliver - and repeat. We grow with meaningful determination. And put success well within our reach. We empower each other, live by our values, and always deliver on our purpose . click apply for full job details

Workday Senior Integrations ConsultantApplylocations: United Kingdom: Poland: South Africa: Netherlandstime type: Full timeposted on: Posted 2 Days Agojob requisition id: JR100005 VirtualResource (VR) is a boutique consultancy supporting companies to optimise their HR and Workday systems. We strive to be the go-to company that partners with businesses to optimise their HR technology landscape. Our people are our most important asset We recognise the need for a committed, skilled and loyal team and strive to create a working environment that is flexible, caring and considerate of all needs. We attract the best people and reward them appropriately Staff development and upskilling are core to what we doWe are seeking a Senior Workday Integrations Consultant with deep, hands-on integration expertise to lead the design, delivery, and governance of complex Workday integration solutions. In this role, you will act as a technical authority and trusted advisor, ensuring our clients leverage best-in-class integration architectures aligned to their broader HR and enterprise technology landscapes. You will take ownership of integration workstreams across multiple projects, provide technical leadership to integration teams, and partner closely with clients, internal stakeholders, and sales teams to deliver scalable, high-quality solutions. Job Description Key Responsibilities Lead the end-to-end design, build, testing, and deployment of complex Workday integration solutions Act as the primary technical integration lead for client implementations, both existing and new Define and own integration architecture, standards, and best practices across projects Manage and track integration risks, issues, and dependencies; proactively escalate where required Provide strategic guidance to clients and service partners on integration approaches and roadmaps Oversee and manage all integration deliverables associated with implementation projects Facilitate advanced troubleshooting and collaborate closely with cross-functional internal teams Lead, mentor, and coach junior and mid-level integration consultants across multiple projects Support the pre-sales cycle , including integration scoping, effort estimation, and solution design Produce detailed interface specifications , field mappings, and system/process designs Develop and execute comprehensive test strategies , including scenario testing and validation Manage partner integrations, including setup, analysis, validation, and ongoing data exchanges Coordinate cross-functional implementation activities, contributing to project planning, scope definition, and delivery governance Must have Skills Required 5+ years of Workday Integrations experience , including leading complex implementations 5+ years of combined experience designing and delivering enterprise technical solutions Strong experience with modern integration technologies, including: + EDI, Web Services, XML, XSLT + REST/SOAP APIs + Middleware platforms + Java and/or .NET Proven experience leading integration design and process alignment across stakeholders Demonstrated ability to design, develop, and deploy production-grade integrations Strong understanding of ERP systems , data models, and enterprise architecture concepts Experience working across multiple cross-functional teams, including business and technical stakeholders Highly developed analytical, problem-solving, and communication skills Proficiency with tools such as Excel, Visio, MS Project (or equivalent), and PowerPoint Workday Integration Certification Other Qualifications/Skills that will be beneficial but not mandatory Degree in Information Systems, Computer Science, HR, or related discipline Experience with Workday Extend Project or delivery certifications (e.g., PMP, Agile/Scrum ) Background in one or more of the following: + Java, JavaScript, .NET + XSLT + NetBeans or similar IDEsVirtualResource is a boutique IT consultancy specialising in HR & Digital Transformation. We help organisations shape their Digital Roadmaps, deploy Workday with confidence, keep it running at its best, and adopt AI in ways that deliver real outcomes. We're not the biggest consultancy you'll work with, and that's deliberate. We've built VR around experienced practitioners who've done the work - people who can sit alongside your team, understand the context, and help move things forward without the layers and overhead you'd find elsewhere. Our people are the reason clients come back. Great consulting starts with great people. We invest in ours, because the experience our clients have with VR is shaped entirely by the team they meet. We attract experienced professionals and give them work that's worth showing up forWe create a flexible, considered working environment built around trust. We reward people fairly and recognise the value they bringWe invest in development and upskilling because staying sharp is part of the job

We're looking for a hands-on AI research engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As an AI Research Engineer - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will lead applied research that positions the team for capabilities we will need over the coming years. You will evaluate and prototype emerging techniques (open-source LLMs, fine-tuning, efficient inference, and multimodal models) and bridge them into production-grade capabilities, working closely with the team's engineers so that research translates into shipped product rather than staying on the bench. This is a Vice President-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech. Job responsibilities Leads applied research into open-source LLM evaluation and deployment for cost, sovereignty, and data-residency optionality Runs fine-tuning work for tone, lexicon, and domain-specific tasks that are currently brittle in prompts Investigates inference efficiency and tokenomics: cost-per-output, model routing, and optimisation of production inference Prototypes voice and image/multimodal capabilities (speech-to-text, text-to-speech, voice agents, document and image understanding) to underwrite future user-facing experiences Designs rigorous evaluation methodologies and benchmarks so research findings are measurable and reproducible Partners with AI and platform engineers to productionise research outputs, each tied to a real platform or product need Publishes internal findings and raises the team's collective capability through knowledge-sharing; acts as a recruiting and thought-leadership magnet Champions the firm's culture of diversity, Opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on artificial intelligence and machine learning concepts and applied experience Advanced proficiency in Python and the modern ML/DL stack (e.g., PyTorch, Hugging Face) Hands-on experience evaluating, fine-tuning, and deploying Large Language Models Strong grounding in experimental design, evaluation, and benchmarking of ML systems Ability to bridge research and engineering: prototypes that become production-ready capabilities Awareness of inference cost, performance, and optimisation techniques Strong communication skills, including translating research into business and engineering terms Published in a top-tier AIML venue (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR), or equivalent open-source / applied-research contributions in LLMs, fine-tuning, or efficient inference MSc or PhD in Machine Learning, Computer Science, or a related quantitative field, or equivalent applied experience Preferred qualifications, capabilities, and skills Experience with speech / voice models and audio ML Experience within financial services, particularly wealth, private banking, or asset management Familiarity with data-residency, sovereignty, and Responsible AI considerations for regulated environments Familiarity with JPM-internal AI/ML infrastructure for internal candidates ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Guardian has a single ambition, for every family to have protection that they truly believe in. We aim to achieve that by challenging the market and offering a 'better' way for Financial Advisers and their clients. In line with our brand promise Life. Made Better., we plan to make life better for everyone. You'll be joining us at a time of growth, with lots of opportunities to increase your knowledge and further your career. You'll be part of an innovative business, with a team of people dedicated to doing the right thing for our customers. A team where you can make a real difference and be part of a culture that encourages you to constantly challenge the norm and put our customers at the heart of every decision. What you'll be doing As part of Guardian's Pricing & Reinsurance team, you will play a leading role in shaping pricing decisions and performance across the business. Reporting to the Head of Pricing & Reinsurance, you will combine pricing expertise, advanced analytics, machine learning and AI-enabled automation to deliver actionable insights, optimise pricing outcomes, improve profitability and customer value, and strengthen Guardian's competitive position in the UK protection market. Working closely with colleagues across Distribution, Proposition, Operations, Data and Technology teams, you will lead the development of Guardian's pricing science capability. You will develop and enhance pricing models, deliver commercial insights, identify opportunities to improve pricing sophistication and automation, and support the evolution of next-generation pricing solutions while maintaining robust governance and controls. Key responsibilities Pricing Strategy & Delivery Lead the development and optimisation of pricing across Guardian's product portfolio. Own the end-to-end repricing process, balancing competitiveness, customer outcomes and profitable growth. Maintain and enhance pricing methodologies, assumptions and segmentation frameworks. Provide pricing recommendations that support commercial objectives and strategic priorities. Pricing Science & Analytics Lead the development of pricing data science capability within the Pricing & Reinsurance team. Own and develop Guardian's pricing models, ensuring they remain robust, controlled and fit for purpose. Apply advanced analytics, machine learning and predictive modelling to improve pricing performance. Use internal and external data to identify pricing opportunities, improve segmentation and support growth. Portfolio Performance & Commercial Insight Monitor portfolio and pricing performance, identifying trends, risks and opportunities. Develop insight into customer behaviour, price elasticity and market dynamics to inform pricing decisions. Design and maintain monitoring frameworks to track performance against expectations. Translate complex analysis into clear commercial recommendations for senior stakeholders. Pricing Transformation & Automation Drive the automation of pricing analysis, monitoring and reporting processes. Lead the adoption of AI-enabled pricing capabilities and support the Pricing Transformation programme. Identify new data sources, modelling techniques and automation opportunities to enhance pricing sophistication. Partner with Data and Technology teams to build scalable pricing capabilities. Stakeholder Management & Governance Collaborate with Distribution, Proposition, Operations, Data and Technology teams to deliver pricing outcomes. Ensure compliance with actuarial standards, Consumer Duty requirements and internal governance frameworks. Maintain robust controls, documentation and oversight of pricing models, AI outputs and decision-making processes. Knowledge, Skills & Experience Significant experience in pricing, data science, actuarial, analytics or a similar commercially focused role within insurance or financial services. Strong pricing and analytical expertise, ideally within the UK protection or life insurance market. Advanced modelling and programming capability, including experience with R, Python, SQL, machine learning and predictive analytics. Proven ability to translate complex analytical insights into commercial recommendations and pricing decisions. Experience developing pricing, risk, propensity or optimisation models and working with large, complex datasets. Strong stakeholder management and communication skills, with experience influencing senior decision-makers. Track record of delivering analytical solutions, automation or transformation initiatives that improve business outcomes. Degree-qualified in a quantitative discipline (e.g. Data Science, Statistics, Mathematics, Actuarial Science, Economics or Computer Science); actuarial qualification or equivalent professional experience would be advantageous.

Principal Sales Executive- Trading (Portware)Applylocations: London, GBRtime type: Full timeposted on: Posted 3 Days Agojob requisition id: R32474FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients' needs and exceeding their expectations. Your Team's Impact: As a Sales Executive - Trading for FactSet's EMS (Execution Management System), Portware, you are a seasoned commercial leader driving revenue retention and growth across a high-value book of business. You serve as the primary relationship owner and trusted advisor, leveraging deep industry expertise to identify, develop, and close strategic opportunities within your accounts. Partnering closely with Product, Engineering, Implementation, and Support teams, you deliver measurable client value while directly impacting FactSet's revenue growth. This role demands a proven sales professional with the technical depth, business development acumen, and consultative selling skills to retain, expand, and strategically elevate a sophisticated client base. What You'll Do Build, manage and execute on a pipeline for FactSet's Portware Enterprise offering across buy-side clients Lead the full sales cycle from prospecting and discovery through negotiation and close, partnering with Pre-Sales Engineering to assess client workflows, craft compelling proposals, and win high-value EMS deals against competitors Proactively identify and convert revenue opportunities by uncovering client pain points around execution quality, workflow inefficiencies, and connectivity gaps, positioning Portware's EMS capabilities and delivering a clear ROI narrative to senior decision-makers Build and maintain C-suite and executive-level relationships across trading desks, technology, and operations teams establishing yourself as a trusted, long-term strategic partner who understands the evolving demands of modern order and execution management. Leverage deep knowledge of market microstructure, order routing, algorithmic trading, and multi-asset execution workflows to engage credibly with heads of trading, portfolio managers, and CTOs in highly technical conversations. Stay current on industry trends including evolving best execution obligations, T+1 settlement impacts, fragmentation across lit and dark venues, and the growing role of AI and automation in trade execution - applying these insights to sharpen your competitive positioning and client conversation Mentor and inspire junior team members, modeling a high-performance, results-driven sales culture built on accountability, urgency, deep product expertise and continuous improvement. Serve as a subject matter expert on EMS capabilities, market structure, and trading workflows, leveraging your expertise to differentiate FactSet's offering in competitive situations. What We're Looking For Required Skills Bachelor's degree in Economics, Business, Computer Science, or a related field or equivalent experience. 12+ years of front-office financial markets sales experience with deep knowledge across multiple asset classes and market structures. Proven track record of building C-suite relationships and exceeding revenue targets through consultative selling and long-term account management. Demonstrated ability to close complex, high-value deals navigating multi-stakeholder buying processes across trading, technology, and operations. Experience collaborating directly with software engineers, developers, and technical architects on business requirements and solution delivery. Deep expertise in securities trading, FX or Fixed Income strongly preferred; derivatives and equities experience a strong plus. Advanced understanding of FIX protocol and its practical application across trading workflows and connectivity solutions. Comprehensive knowledge of EMS platforms and their components; OMS experience a plus Exceptional communicator with the executive presence to convey complex technical and commercial concepts to senior business and technology audiences. Ability to operate at both strategic and tactical levels - balancing high-level account planning with hands-on execution and problem-solving. What's In It For You At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: Contributing to a firm with over 40 years of consecutive growth, named a 2023 Best Place to Work by Glassdoor Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and companywide wellness days. Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. A global community dedicated to volunteerism, sustainability, and inclusivity, where collaboration is always encouraged, and individuality drives solutions. Career progression plans with dedicated time each month for learning and development. Employee-led Business Resource Groups that are wholly supported by Executive Management.Learn more about our benefits here. Returning from a break? We are here to support you! If you have taken time out of the workforce and are looking to return, we encourage you to apply and chat with our recruiters about our available support to help you relaunch your career. At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, color, ancestry, ethnicity, religion, sex, national origin, gender expression, sexual orientation, age, citizenship, marital status, disability, gender identity, family status or veteran status. FactSet participates in E-Verify. Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications. Company Overview: FactSet (NYSE:FDS NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees' Choice Award winner. Learn more at and follow us on X and LinkedIn. At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.

ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for the company customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the the company Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About the company the company is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the the company Data Intelligence Platform to unify and democratize data, analytics and AI. the company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow the company on Twitter, LinkedIn and Facebook. At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

At OQC, we aren't just theorising about the future; we're building it. Born from a philosophy of bold innovation, we've successfully transitioned quantum computing from an academic dream into a commercial reality. The most exciting thing is that we're just getting started and we've recently closed our £260 million Series C funding round - the largest fundraise ever completed by a quantum computing company in Europe. The Purpose As our Head of IP & Innovation, you'll be OQC's internal authority on intellectual property, shaping how we identify, protect and leverage the innovations and know-how behind our technology. Working at the intersection of science, engineering, legal and commercial strategy, you'll build an IP framework that protects our competitive advantage without slowing innovation, giving our teams the confidence to invent, collaborate and take quantum technology further. Please note that we also welcome candidates who would like to work 4 days per week on a 80% FTE salary basis. The Role This is a high-impact role with significant autonomy and visibility across OQC. Reporting to the Chief Legal Officer, you'll own the day-to-day management of our IP portfolio and invention pipeline while developing the strategy, governance and culture needed to manage IP effectively as OQC scales globally. You'll work directly with scientists and engineers to uncover potentially valuable inventions, translate complex technical developments into protection strategies, and ensure IP thinking happens early, not after the innovation has happened. Beyond protecting what we create, you'll help OQC understand where our IP can strengthen our competitive position, enable strategic collaborations and potentially unlock new commercial opportunities. What You'll Be Working On Shape OQC's IP strategy: Develop and implement our intellectual property strategy, aligning portfolio decisions and protection priorities with OQC's technology and commercial ambitions. Own our portfolio and invention pipeline: Manage patents, invention disclosures, trade secrets and proprietary know-how, creating robust processes to identify, evaluate, protect and track valuable IP. Get close to the technology: Lead invention and IP workshops with scientists and engineers, translating cutting-edge technical developments into practical protection strategies. Protect our freedom to innovate: Monitor competitor patent activity, oversee freedom-to-operate work and strengthen how we protect confidential information, trade secrets and external technical disclosures. Enable commercial and strategic activity: Advise on IP ownership, licensing and technology rights across customer agreements, research collaborations, strategic partnerships, fundraising, due diligence and international programmes. Build an IP-first culture: Create practical training and guidance covering invention disclosures, confidentiality, publications, open-source software, AI usage, customer demonstrations and confidential information. Scale the IP operating model: Establish governance, SOPs, records, KPIs and reporting across OQC's global operations, while managing external patent attorneys and specialist IP advisers effectively. What We're Looking For Significant hands-on IP experience within technology, deep tech or another complex technical environment, with strong capability across IP strategy, patents, inventions, trade secrets and confidential know-how. A track record of working closely with scientists, engineers or other highly technical specialists to identify innovation and determine the right approach to protection. Experience leading complex IP matters with substantial autonomy, combining technical, legal and commercial considerations to make clear recommendations and knowing when strategic issues require escalation. Evidence that you've built or materially improved IP processes and governance, rather than simply administering an established portfolio. Experience managing external patent attorneys, IP advisers or other specialist advisers, alongside advising internal stakeholders on ownership, licensing, protection and collaboration matters. The ability to understand complex technical information, spot IP implications and communicate them clearly to senior, technical and non-technical audiences. A relevant legal, IP, scientific or technical background - or equivalent practical experience - combined with strong judgement, organisation and the ability to influence across multiple teams and priorities. The 'Nice-to-Haves' Experience with quantum technologies or another deep-tech field such as semiconductors, advanced computing, photonics or advanced engineering. Qualification as a UK and/or European Patent Attorney, solicitor or other relevant IP professional. A degree or equivalent technical background in physics, engineering, computer science or another deep-tech discipline. Experience supporting IP due diligence for fundraising, investment or strategic transactions. Exposure to international IP matters, research collaborations or government-funded programmes. Hands-on experience conducting or coordinating freedom-to-operate assessments. Experience with technology licensing or identifying opportunities to commercially leverage an IP portfolio. Why Join OQC You will join a world-class team at the forefront of the next computational era. We offer a culture of bold innovation, the chance to work with unique lab infrastructure, and the opportunity to see your work redefine the limits of computation. Learn more about our benefits and positive work culture here:

OVERVIEW The Maples Group is a standard bearer in financial and legal services, trusted by many of the world's largest hedge fund managers, private equity firms and international corporations. Our distinction flows from our carefully curated team: 2,500+ professionals characterised by tenacity, ethics and exacting excellence. Operating in key financial centres across the Americas, Asia, Europe and the Middle East, our international presence offers a unique springboard for career development and cross-cultural immersion. Our side-by-side financial and legal services are similarly ripe for interdisciplinary learning and growth. The Maples Group looks to add a London-based Senior Legal Technologist to our team and invites eager and qualified candidates to apply. We are committed to diversity, inclusion and equality of opportunity as we attract, retain and develop world-class talent. Who We Seek Our merit-based culture suits professionals in pursuit of boundless careers and lives. Beyond their acumen, team members are collaborative and conscientious, bringing a healthy sense of drive and purpose to each interaction and to all aspects of their work. About the Role The future of legal services lies in intelligent technology, agile processes, and client-first innovation. The Maples Group is investing in this future through our Innovation Group - a dedicated team that brings together ambitious individuals with a passion for innovation and technology. The Senior Legal Technologist operates with significant autonomy, leading workstreams and projects end-to-end. You are expected to work alongside Legal Technologists, influence solution design, and act as a subject matter expert in one or more technology domains. This is a mid-level role within the Innovation Group's career progression framework. You will report to the Head of Innovation and play a key role in shaping how the team delivers technology-driven solutions to lawyers and clients across the firm. Innovation Project Leadership. You will lead the design and delivery of Innovation projects from scoping through to implementation, taking ownership of workstreams end-to-end with moderate complexity. This includes evaluating vendor products and making recommendations to Innovation leadership on the adoption of new platforms and tools. Solution Design and Advisory. You will act as a trusted advisor to business stakeholders on technology solutions, drawing on your expertise in one or more legal technology domains to influence solution design and ensure that implementations meet business requirements. Mentoring and Development. You will mentor and support the development of Legal Technologists within the team, helping them to build technical skills and navigate project delivery. Adoption and Training. You will drive adoption of new tools and processes across the business, designing and delivering training programmes, creating user documentation, and working closely with legal teams to embed technology into day-to-day practice. Strategy and Roadmap Contribution. You will contribute to team strategy and roadmap planning, helping to identify opportunities for technology-led improvement and shaping the direction of the Innovation Group's work. Research and Evaluation. You will keep abreast of advancements in emerging legal technologies, evaluate new products and solutions, and effectively communicate developments and recommendations to legal teams and the wider business. EXPERIENCE What You Bring We welcome applications from candidates with 3-6 years of relevant professional experience in legal technology, legal innovation, or a related field. A bachelor's degree or higher in Law, Business, Computer Science, or a related discipline is expected. Essential skills and attributes: Demonstrable expertise in one or more legal technology domains (e.g., Legal GenAI, document automation, contract lifecycle management, AI-assisted review, workflow automation, or legal data analytics) Proven experience leading technology projects from inception through to delivery Strong stakeholder management skills, with the ability to advise and influence business stakeholders Proficiency in the Microsoft 365 suite Excellent communication skills, with the ability to translate technical concepts for non-technical audiences A collaborative and solutions-oriented mindset, with a commitment to mentoring and knowledge sharing A commercial mindset and client-centric approach Desirable skills and attributes: Familiarity with vendor evaluation and procurement processes Experience with no-code/low-code development platforms Exposure to legal change management or process improvement methodologies Prior experience mentoring or coaching junior colleagues BENEFITS & REWARDS The most enduring professional relationships are reciprocal relationships. The Maples Group prioritises employee health and wellbeing. Depending on your location, we offer a range of benefits, including: Comprehensive health coverage (medical, dental and optical) Competitive vacation packages Educational assistance and professional development programmes Savings or pension plan Life insurance Travel insurance Global mental wellness programme Sports clubs and social events ABOUT MAPLES GROUP Over five decades, the Maples Group has grown from modest beginnings into one of the world's preeminent professional services firms, offering specialised fiduciary, fund administration, regulatory and compliance, entity formation and management and legal services on the laws of the British Virgin Islands, the Cayman Islands, Ireland, Jersey and Luxembourg. You can learn more about the Maples Group on our corporate website. Experience our culture and our people on our Careers Page or on LinkedIn. Please note that it is the Maples Group standard policy to undertake various background screening checks on all applicants to whom a conditional job offer is made. Except for roles based in the Republic of Ireland, the background checks will include criminal records checks when a conditional job offer is made. If you have a criminal record, it does not mean that your job offer will be automatically withdrawn. The Maples Group will make all job offer decisions on a case-by-case basis and will take a number of factors into account, such as the role that you are applying for and the nature and circumstances of the past offence. You will have the opportunity to discuss the matter with us before a decision is made. Further details will be provided at the time any conditional job offer is made. Disclaimer: All personal information collected during the application process will be used for recruitment-related purposes only. Please refer to our Job Applicant Privacy Notice at for details on how we handle personal information relating to job applicants.

Senior Architect - Email & Collaboration SecurityApplylocations: Great Britain - Londontime type: Full timeposted on: Posted Todayjob requisition id: R6496 Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role Exists The Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI-augmented threats, sprawling collaboration surfaces, multi-cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait.This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job.The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI-First Ways of Working Mimecast is an AI-first engineering organisation. This is not a cultural aspiration - it is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis.This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data-contract stability, and evaluation coverage for AI-driven features.Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. The ECS Domain ECS covers the following product and capability areas: Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution Space The role engages at the problem-framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product Artefacts The durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first-class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural Context Engineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI-assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without Blocking Governance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit Economics Infrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every Altitude A one-page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring Breadth Over Depth - and Knowing the Difference 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product-shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud-native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade-offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs-to-be-done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one The Right Mindset for Complex, Inherited Systems An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well-reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self-Direction and Strategic Initiative A proactive self-starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem-solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud-native security SaaS What We Offer Impact : architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice : a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers : a small, high-trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product-shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.

Sapiens International is seeking a VP, Global Customer Support who will own the strategy, operations and performance of Sapiens' worldwide customer support organization, ensuring 24x7 service desk coverage across all products and functions under GCSO. This role is the executive escalation point for support cases and issues raised by customers, services teams and account managers, and is accountable for building a support function that scales with the business and meets tomorrow's standards for global enterprise customers. Location/working model: London - Hybrid (flexible) Key responsibilities: Serve as the senior escalation point of contact for Sapiens customers on all support matters, representing the voice of the customer at the executive level. Own oversight and direct management of the support functions that enable smooth operations of the Global Customer Support Center worldwide. Set the vision for and continuously evolve the global customer support strategy to meet growing business demand and rising customer expectations. Establish and maintain coverage models for all product lines, including cloud support, incorporating standard operating procedures and follow-the-sun models across multiple time zones. Provide strong, dynamic leadership that mentors, develops and guides regional support leaders and their teams to maximize the efficiency, quality and value of every customer interaction. Deliver results against a defined scope of work, including measurable ROI, strategic innovation, performance reporting and human capital development. Build, implement and maintain enterprise-wide Quality Assurance (QA) programs that drive continuous improvement and consistent achievement of Service Level Agreement (SLA) performance. Design and maintain an effective global organizational structure, including recruiting, training, coaching, recognition, workflow design, performance standards and staffing levels across all regions. Coordinate analytic, strategic and technical resources to meet client expectations, and ensure a disciplined Workforce Management practice is in place, covering planning, forecasting, scheduling and real-time management of all Contact Center staff. Own the customer support budget and resourcing plan, including in-house and outsourced/BPO capacity, and report performance and investment priorities to executive leadership. Partner with Product, Engineering and Cloud teams to ensure support readiness for new releases, regions and product lines, including new L1/L2 service stand ups. Knowledge, skills and expertise required: Bachelor's degree in Computer Science, MIS, or an equivalent field; advanced degree a plus. 15+ years leading global support organizations, including significant experience at a senior/executive management level. Proven experience establishing and scaling geographically dispersed, follow-the-sun support teams. ITIL expertise required; familiarity with ServiceNow is a plus. Track record of standing up new support regions and service tiers, including L1 and L2 operations. Experience working closely with Cloud and Product organizations to align support readiness with product strategy. Demonstrated success designing and modifying support processes and coverage models to improve efficiency. Sound business judgment with the ability to manage shifting priorities while remaining focused, motivated and enthusiastic. Excellent problem-resolution capabilities and strong critical thinking and analytical skills to isolate and resolve complex technical and operational issues. Executive-level interpersonal, communication and stakeholder management skills. Strong organizational, multi-tasking and prioritization skills across a large, distributed organization. Add to my Favorites We Are Sapiens International Corporation N.V. is a global leader of AI-centric, SaaS-based insurance software, delivering hyper-relevant experiences that are efficient, compliant, and innovative. With agile intelligence, Sapiens' solutions turn real time data and human insight into precise action at every moment, across every risk. The Sapiens platform includes agentic workflows accelerating every capability across policy, underwriting, claims, reinsurance, decisioning, and finance and compliance. With more than 600 insurers in over 30 countries running on Sapiens, our deep industry expertise is the foundation of our long term relationships, from initial implementation through to modernization and market transformation. Sapiens is headquartered in London, serving customers in property and casualty, life, reinsurance, specialty, and workers' compensation from offices across North America, Europe, the Middle East, and Asia Pacific. Your Recruitment Journey We will keep you in the loop, as we focus on providing an inclusive screening and interview process. Each country has a local flavor, but here's what you can expect during our recruitment process: Apply Apply Take the first step in our journey by submitting an application that reflects your skills, experiences, and professional aspirations. 1 Review Review Your CV will be carefully reviewed by our talent team to explore how your unique skills and potential align with Sapiens' needs and culture 2 Interview Interview This is your opportunity to shine! Meet with our team, showcase your abilities, and learn more about Sapiens 3 Offer Offer If there's a great match, we'll extend an offer to welcome you to our team. This is the exciting moment when your new journey begins to take shape 4 Onboard Onboard Once you accept, we'll guide you through a comprehensive onboarding process, introducing you to your new colleagues, roles, and the exciting challenges ahead

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies - making you a key voice in shaping how we build and deliver ongoing value as a business. As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle - managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures You may be a good fit if you have 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar) Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns Experience explaining and demonstrating technical products to various audiences Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Strong project management skills and ability to manage multiple customer relationships Passion for AI and interest in responsible development of advanced systems Experience working in and building a growing region, while navigating across time zones with US-based headquarters A knack for bringing order to chaos and an enthusiastic "roll up your sleeves mentality. You are a true team player Native English and (Bonus) Fluency in French, German, Spanish or Italian The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £135,000 - £165,000 GBP Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:Learn about our policy for using AI in our application process.