Research Analyst in London

Position Overview: The research function within Diligent Market Intelligence is primarily responsible for being subject matter experts on one of the research verticals. These verticals include compensation, governance, activism, voting and risk. Key responsibilities include managing the methodology for data collection; managing outsourcer workflow; quality assurance and liaising closely with Product and Engineering teams. The Senior Research Analyst serves as a subject-matter expert within a designated research vertical such as governance, compensation, activism, voting, or broader risk domains. This role conducts oversees third-party research workflows and owns the design and continuous refinement of data collection standards, quality controls, and methodology documentation. Findings are translated into clear, actionable insights for clients, while close collaboration with Research Managers, Product, Engineering, and Data Services ensures accurate outputs, regulatory alignment, process improvements, and strong operational reporting. As a senior team member, the analyst mentors colleagues, reviews deliverables for accuracy and consistency, and brings strong analytical judgment, curiosity, and leadership to advancing both the product and the overall research function. Key Responsibilities Develop, own, and continuously refine the data collection methodology for the assigned vertical, ensuring accuracy, consistency, and alignment with regulatory and product requirements. Proactively manage and communicate workload expectations to third-party research providers, ensuring timely, high-quality data delivery. Monitor and produce management reporting on daily workflows, identifying trends, bottlenecks, and opportunities for process optimization. Train and support third-party providers on methodology, quality standards, and process updates to ensure consistent execution across all research activities. Collaborate with Res

Overview: The Insights product is an offering for Guidepoint's Institutional investment and corporate clients, that offers teleconferences, surveys, and in-person events. The teleconferences live in a transcript library portal, which covers a wide of industries/topics that enables our clients to make informed decisions. All content features experts from Guidepoint’s proprietary global network and is conceptualized and hosted by former investment professionals (i.e. private equity/hedge fund), sell-side equity research analysts, and industry professionals. All applicants must have the right to work in the UK. What You'll Do: Monitor single name corporate credit situations in European markets including new issues, distressed, restructuring/re-orgs, and price dislocations in both leveraged loan and high yield markets. Create original, sell-side type content on these topics Conduct bottoms-up company research including reviewing earnings releases, reading investor presentations and analyzing regulatory filings Moderate teleconferences on timely topics featuring an expert from Guidepoint’s network with the goal of producing actionable insights for buy-side clients Generate ideas and follow key investor views among relevant strategies within European credit Can be an in-person position or a fully remote work-from-home position What You Have: Bachelor’s degree or Master’s degree 7 years or more of sell-side or buy-side analyst experience Follow a bottoms-up, fundamental approach to investment research focusing on individual companies Has prior experience covering single name corporate credit across both bank loan and high yield markets with a European focus; must be proficient in corporate credit analysis, with an emphasis on either loan / High Yield or Distressed strategies Ability to work in a fast-paced entrepreneurial environment Outgoing personality with the ability to speak with people at all professional levels Intellectual curiosity and desire to learn Effective ti

Overview: The Insights product is an offering for Guidepoint's Institutional investment and corporate clients, that offers teleconferences, surveys, and in-person events. The teleconferences live in a transcript library portal, which covers a wide of industries/topics that enables our clients to make informed decisions. All content features experts from Guidepoint’s proprietary global network and is conceptualized and hosted by former investment professionals (i.e. private equity/hedge fund), sell-side equity research analysts, and industry professionals. All applicants must have the right to work in the UK. What You'll Do: Monitor single name corporate credit situations in European markets including new issues, distressed, restructuring/re-orgs, and price dislocations in both leveraged loan and high yield markets. Create original, sell-side type content on these topics Conduct bottoms-up company research including reviewing earnings releases, reading investor presentations and analyzing regulatory filings Moderate teleconferences on timely topics featuring an expert from Guidepoint’s network with the goal of producing actionable insights for buy-side clients Generate ideas and follow key investor views among relevant strategies within European credit Can be an in-person position or a fully remote work-from-home position What You Have: Bachelor’s degree or Master’s degree 7 years or more of sell-side or buy-side analyst experience Follow a bottoms-up, fundamental approach to investment research focusing on individual companies Has prior experience covering single name corporate credit across both bank loan and high yield markets with a European focus; must be proficient in corporate credit analysis, with an emphasis on either loan / High Yield or Distressed strategies Ability to work in a fast-paced entrepreneurial environment Outgoing personality with the ability to speak with people at all professional levels Intellectual curiosity and desire to learn Effective ti

About Yondr Yondr is a disruptor. We challenge convention and simplify complexity. A global developer, owner operator and service provider of data centers, we deliver complex data center capacity needs for the world’s largest tech companies. Our exponential growth sees us looking for extraordinary people to help accelerate us towards our vision: a tomorrow without constraints. But we can’t do this without you. About the Role With continued growth across our business, we are actively seeking to have a new member join our team. This is an exciting role to join an existing group of skilled development and investment professionals, enhancing the team capabilities and becoming an integral part of a rapidly growing business. We are searching for someone who has excellent quantitative and analytical skills, is comfortable building financial models and has experience with communicating with internal and external stakeholders. You will be a highly valued and trusted member of our ambitious and hardworking team, in a business that continues to scale to new heights. Main Responsibilities / Take responsibility for development and management of financial models and valuation analysis in support of potential transactions and investment opportunities / Support in all aspects of financing processes included due diligence, project management, data room management, financial analysis, legal negotiations and preparation of materials / Work closely with the Development and Finance teams to perform detailed financial analysis on new developments as well as existing portfolio assets / Production of presentation material for senior management, board members, investors, lenders and joint venture partners / Assist with commercial negotiation of legal contracts for transactions / Research and analysis of market trends and sector / asset valuations / Support in business strategy and individual project delivery /

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Threat Intelligence team protects OpenAI’s technology, people, research, and infrastructure by proactively identifying and disrupting adversaries who seek to compromise our systems or misuse our models. We investigate sophisticated threats, build tooling to scale and augment analysis, and deliver intelligence that shapes security strategy and equips leadership with timely, risk-aware insights. We combine technical depth, investigative rigor, and strong cross-functional partnerships to uncover threats and drive impact across OpenAI’s security and research organizations. About the Role As a Technical Threat Investigator at OpenAI, you will help protect the company from sophisticated adversaries targeting OpenAI and the broader ecosystem, as well as those attempting to misuse our models in support of cyber operations. This is a deeply investigative role. You will independently conduct complex, end-to-end investigations into capable threat actors to understand their behavior, infrastructure, emerging techniques, and how AI is integrated into their workflows. You’ll use these insights to proactively identify malicious activity and drive detection, disruption, enforcement, and safety improvements across the company. You’ll translate your investigative findings into durable solutions that scale impact. You’ll build and own lightweight tooling, automate where it matters, and create AI-assisted workflows to make investigations faster, more repeatable, and more effective over time. In this role, you will: Conduct deep, end-to-end investigations into sophisticated threat actors interacting with OpenAI’s models, products, and broader ecosystem. Think like an adversary — model attacker behavior, anticipate misuse patterns, and proactively hunt for, identify, and disrupt malicious activity. Leverage internal telemetry, OSINT, vendor data, a

Chicago Trading Company (CTC) is a premier proprietary trading firm specializing in options market making. Our collaborative culture fuels innovation in quantitative research, systematic trading strategies, and cutting-edge trading technology. For over three decades CTC has provided critical liquidity across derivatives exchanges worldwide - making them fairer, more transparent, and more efficient. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. Are you excited by the opportunity to be part of a dynamic trading environment that values teamwork and collaboration? Do you thrive in an innovative atmosphere? If so, we encourage you to consider Chicago Trading Company! The Role The Quant Trading Associate (QTA) role is our entry-level position within our Trading and Quant organization and gives you broad exposure to the whole business as you work towards graduating from the Associate Program and assuming a role as a Quant Trader or Quant Researcher. As a QTA, you will work in a high-impact role as a member of a trading or quantitative team. You will play a vital part in identifying trading opportunities and impacting your team through dynamic problem solving — including trade execution, strategy formulation, back-testing, data analysis, and the modeling and pricing of traded financial derivatives — while communicating with traders, risk managers, software engineers, and quants throughout the trading day. You will learn all aspects of the trading and quant operation and work towards a role that generates trading revenue or drives strategy development for the team. In addition to the

We’re looking for an Account Intelligence & Outbound Specialist to help us create meaningful outbound engagement and pipeline opportunities across priority global strategic accounts. You’ll use Talkwalker insights, market signals, account research and hands-on outbound to build commercially relevant, account specific-outbound that creates movement in the accounts that matter most by identifying the right people, moments and messages to activate complex enterprise accounts working alongside two Global Strategic Account Managers. You will be reporting to the Director, Outbound Strategy. Please note that the role may include 10% of travel to events; other Hootsuite offices, etc. WHAT YOU’LL DO: Conduct deep research across priority global strategic accounts to understand their business context, market environment, brand activity, audience sentiment, competitive landscape and relevant commercial signals. Leverage Talkwalker insights, social listening, news, campaign activity, reputation signals and account history to identify timely and relevant reasons to engage prospective customers. Identify and map complex buying groups, decision-makers, influencers and stakeholders across global strategic accounts, including marketing, communications, social media, insights, customer care, digital, analytics, procurement, legal, security, Data Privacy, regional teams and executive leadership. Design and execute insight-led, account-specific outbound strategies across email, phone, LinkedIn and other relevant channels, using commercial relevance rather than generic product messaging. Develop high-value account intelligence assets including signal summaries, one-page account memos, Talkwalker insight snapshots, competitor views, pre-mortems, executive questions and buying-group maps to support strategic account activation. Act as a strategic partner to Global Strategic & Principal Account Executives by jointly prioritizing accounts, align on account strategy, and deter

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a product marketer at Vanta, you’ll help bring this vision to life by defining the new category of trust management, shaping Vanta’s positioning and differentiators externally, and influencing our product and business roadmap. We sit at the intersection of Marketing & Demand Generation, Sales, Product, and Customer Success and revel in connecting all of these teams to drive the business forward. Research, analysis, curiosity, storytelling, and project management are just a few of the attributes of our team – in addition to being open, empathetic, and genuinely nice people. As the EMEA Product Marketing lead, you will be responsible for bringing Vanta’s story to the EMEA audience to help us drive sustainable growth in the market. You’ll craft compelling messaging that’s tailored to the region, based on insights from buyer and market research. You’ll lead product launches to help amplify Vanta’s presence in the region, and partner closely with our product management team to identify growth opportunities for us to continue building our product. Finally, you’ll partner closely with our GTM organisation to expand Vanta’s footprint and accelerate our growth. What you’ll do as a Product Marketing Lead at Vanta: Define and manage go-to-market (GTM) strategy for Vanta’s business in EMEA tailored to the unique opportunities across the EMEA region Develop tailored messaging and positioning for EMEA based on market research and customer insights Partner with our EMEA growth team on the development and execution of targeted marketing campaigns, including tailored messaging and content that effectively engage local audiences and drive

About the Team The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers. Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale. We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into the evolution of our training platform. About the Role As a Software Engineer, Platform Systems, you will design and build distributed systems that provide visibility into large-scale training workloads and help operate them reliably at scale. You’ll work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimize massive distributed training jobs. This infrastructure is critical to operating OpenAI’s training stack and is actively evolving to support new use cases and increasingly complex workloads. This role sits at the core of our training infrastructure, blending systems engineering, performance analysis, and large-scale debugging. In This Role, You Will Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior Improve observability, reliability, and performance across OpenAI’s training platform Debug and resolve issues in complex, high-throughput distributed systems Collaborate with systems, infrastructure, and research teams to evolve platform

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Solution Engineer dedicated to one of Snowflake's most strategically important healthcare customers. This is a named-account role: your entire focus will be a single global healthcare organisation, whether a payer, provider, life sciences company, or health technology platform. You will own the full technical relationship, drive use case expansion across the organisation's clinical, operational, and research functions, and act as the go-to trusted advisor to CTO, CDO, and engineering leadership within the account. This is a senior-level, high visibility role with global scope and direct exposure to Snowflake's leadership. AS A SENIOR SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL : Own the end-to-end technical relationship for a single strategic Global Account in healthcare, from discovery and technical qualification through proof of concept, technical close, and ongoing expansion Build and deliver compelling demonstrations, solution architectures, and executive presentations that connect Snowflake's platform capabilities to the account's clinical, operational, and research data priorities Design and lead proof of concept engagements covering healthcare use cases including clinical data interoperability, population health analytics, claims and payer data pr

About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world’s most exceptional talent under one roof to push the boundaries of what’s possible. Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization, working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI’s talent. About the Role You will own and execute long-term talent strategies to identify, engage, and recruit many of the world’s leading and emerging AI researchers, research engineers, and technical scientists working at the frontier of machine learning. This is not a traditional execution-focused recruiting role. You will operate as a strategic partner to OpenAI’s research staff, helping define hiring priorities, shape search strategy, influence candidate evaluation, and guide hiring decisions that directly impact the direction and quality of our frontier-model research and fulfillment of our mission. In this role, you will: Partner directly with research and technical staff to define hiring priorities, shape search strategies, and anticipate future talent needs as technical roadmaps evolve. Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist. Use market insights and candidate signals to influence hiring decisions, leveling, and compensation strategy for highly specialized research roles. Serve as a trusted advisor throughout candidate evaluation and closing — helping leaders calibrate for research excellence, long-term potential, and organizational fit. Collaborate closely with your sourcing partner to execute complex, high-impact searches in ambiguous or rapidly evolving technical domains. You might thrive in this role if you: Significant experience recruitin

About the Team OpenAI's Training team is responsible for producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture and optimization techniques, alongside long-term bets aimed at improving the efficiency and capability of future generations of models. We are responsible for integrating these techniques and producing model artifacts used by the rest of the company, and ensuring that these models are world-class in every respect. About the Role As a member of the training team, you will push the frontier of LLM development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities. Relevant interests may include areas such as architecture design, long-context and efficient attention, optimization and the science of scaling. Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, prototype and scale up new architectures to improve model intelligence Execute and analyze experiments autonomously and collaboratively Study, debug, and optimize both model performance and computational performance Contribute to training and inference infrastructure You might thrive in this role if you: Have experience landing contributions to major LLM training runs Can thoroughly evaluate and improve deep learning architectures in a self-directed fashion Are motivated by safely deploying LLMs in the real world Are well-versed in the state of the a

Overview: Guidepoint Insights is an events-based primary research platform that helps our clients leverage the Guidepoint expert network and deepen their understanding of the most pressing topics affecting public and private companies across the globe. We host timely , high-quality moderated events daily to help clients navigate complex topics, reduce research times, bring focus to what matters, and make better business decisions. Play a vital role in Guidepoint’s success. Guidepoint is seeking an entrepreneurial and outgoing individual to spearhead coverage of our transcript library product for our Institutional client base. As the primary liaison for our clients, you will play a pivotal role in driving engagement and revenue growth within the rapidly expanding Insights product line. Leveraging your exceptional CRM skills and keen attention to detail, you will collaborate cross-functionally to maximize usage of our offering among current clients and trial accounts. This highly visible position will involve working closely with the Insights group heads to develop strategic plans for enhancing client engagement and retention. This is a hybrid role located in London. What You'll Do: Serve as the primary advocate for the Insights product with institutional clients and foster three-dimensional relationships with key stakeholders Develop personalized engagement plans for each client depending on investment strategy, companies of interest and sector coverage to effectively market Insights content Monitor and drive client engagement through direct outreach efforts: direct emails, product demonstrations, virtual and onsite meetings Collaborate with sales team to ensure timely renewals, drive upsell opportunities and increase trial conversion Acquire valuable feedback and insights from clients to inform product development, marketing strategies, and sales efforts What You Have: Bachelors or masters degree from an accred

About the Team The Applications Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. You’ll join the team responsible for running the core infrastructure that supports products like ChatGPT and the API. The systems we support include our kubernetes clusters, infrastructure deployment, our networking stack, cloud abstractions, and more. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role The cloud infrastructure team builds and maintains infrastructure abstractions allowing OpenAI to ship products quickly and scalably. In this role, you will: Design and build the development and production platforms that power our products, enabling reliability and security at scale Ensure our infrastructure can scale to the next order of magnitude Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed. You might thrive in this role if you: Have 5+ years building core infrastructure Have experience operating orchestration systems such as Kubernetes at scale Have experience building abstractions over cloud platforms Take pride in building and operating scalable, reliable, secure systems Are comfortable with ambiguity and rapid change About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and

About the Team Training Runtime designs the core distributed runtime that powers everything from early research experiments to frontier-scale model runs. We work on building robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware, with the goal of accelerating progress towards AGI. Within Training Runtime, the Process Management team develops the distributed OS responsible for launching, coordinating, and supervising the large numbers of processes that make up modern training workloads. Our runtime sits beneath training frameworks and on top of research infrastructure, ensuring jobs run reliably across massive clusters while maintaining performance, stability, and observability. Success for us is measured by both system reliability and researcher velocity - enabling ideas to scale from experiments to production training runs. About the Role As a Training Runtime: Process Management Engineer , you will work on the software that ties thousands of computers together and exposes them as a unified system. This system has to serve individual researchers running multiple parallel experiments, as well as our largest training runs spanning 100’s of thousands and even millions of machines and accelerators. This requires easy to use, introspectable systems that can promote a fast debugging and development cycle, as well as relentless optimization for scale while maintaining stability and performance throughout. You will work primarily in Rust , building high-performance asynchronous systems with a strong emphasis on performance, correctness, and scalability. Working at this scale and at the frontier of AI development poses novel challenges. Out-of-the-box approaches often don’t work. The problems you will be working on are highly ambiguous and require strong design judgment as well as proficient execution to advance the state of our infrastructure. We’re loo