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Our Mission At Omnea, we're reinventing how enterprise businesses operate, starting with the most painful parts: procurement - where a single purchase can drag on for months, trigger 50+ emails, and pull in Finance, Legal, Security, and IT just to get something approved. We've raised $75M from Khosla Ventures, Insight Partners, and Accel to change that. Our AI-native platform connects every person, step, and system so buying is fast, safe, and efficient - one place to request, automated approvals and renewals, real-time supplier risk, and complete spend visibility. The opportunity is massive. Every enterprise on the planet has this problem and nobody has solved it. We've 10x'd ARR to double-digit millions in 18 months and are trusted by global enterprises like Spotify, MongoDB, Monzo, and Albertsons. We're now the 4th fastest growing startup in Europe & the Sunday Times' Best Medium Sized Tech Company To Work for. Our team previously scaled Tessian (cybersecurity tech, backed by Sequoia, Balderton, Accel, acquired post-Series C), and our team includes ex-founders operators who've grown unicorns, shipped world-class products, and executed at the highest levels. You'll work alongside leaders like Ben, Abs, Sabrina, and Rebe. Find out more about the team and life at Omnea here. The Role AI is changing what it means to deploy enterprise software. Configuring a customer's procurement workflows used to mean weeks of manual setup, integration by integration, edge case by edge case. Increasingly, that first-draft build work can be directed rather than done by hand: AI agents can generate workflow configurations, draft integration mappings, and produce the initial pass on a customer's setup. The job shifts with it. Instead of building every workflow yourself, you specify exactly what needs to exist, direct AI to build it, and apply the judgment AI can't: is this the right configuration for this customer's approval policy, will Legal and Finance actually sign off on it, does it hold up once real spend starts flowing through it. In practice, that might mean catching that the approval chain AI just drafted works perfectly for HQ, but misses a regional delegation-of-authority rule that would fail an audit in the customer's APAC entity. As Omnea's AI Solutions Lead, you own deployment of the Omnea platform end to end - typically running 3-5 enterprise deployments concurrently - for some of Europe's most recognisable companies. You advise customers on the best-fit configuration, direct AI-assisted build work to get there fast, and validate every output against what the customer actually needs. You'll also deal with the politics that come with every enterprise rollout: the Legal team wanting one more sign-off, the Finance stakeholder who doesn't trust the new approval flow, the exec sponsor who's gone quiet. You become the internal voice of the customer, and you're judged on outcomes you can point to: time to launch, post-go-live CSAT, and whether that customer becomes a case study or reference. This is an early hire on Omnea's customer team, working directly with our sales, customer, product, and engineering leadership. The future shape of the role is yours to define! What You'll Do Discover and design Run discovery with customer stakeholders across Procurement, Finance, Legal, and IT, and translate their process into an Omnea configuration Design the target workflow: approval chains, routing logic, integrations, and the edge cases that make procurement hard On a deployment with a dozen-plus integrations, you own the sequencing - what has to land first, what blocks what - and the harder calls underneath it: which system is the source of truth for a given entity, and how records reconcile when two systems key that entity differently Define success criteria and a realistic path to go-live with the customer's project sponsor Build with AI, not instead of it You're not just directing AI to draft your own deliverables faster - you're configuring the specialized agents Omnea's customers rely on every day: an intake agent that knows how to ask a procurement analyst the right follow-up question, a risk agent that flags what actually matters to this customer's Legal team The real leverage comes from chaining agents together - an intake agent that hands clean, structured requests to a risk agent, which in turn routes into approvals with the right context already attached. You design how those agents work as a system, not just individually Writing a spec for one agent is a skill. Writing one that holds up across a chain of agents - where one agent's output becomes another's input - is the actual bar here Validate every AI-generated output against the customer's actual process, policy, and edge cases before anything ships Handle what AI can't: judgment calls on ambiguous requirements, custom logic, and anything that needs a human read on internal politics Deploy and prove value Present configured workflows to stakeholders, from procurement analysts to CFOs, working through the pushback and internal politics that come with any enterprise rollout, and win their buy-in Run multi-day onsite workshops with customers, coordinating dozens of stakeholders across multiple workstreams at once - a different muscle than a single stakeholder meeting Project-manage the deployment: timelines, blockers, stakeholder alignment, and a clear path to launch, acting as an extension of the customer's team Track adoption after go-live and keep the configuration working as the customer's process evolves Work with Product and Engineering during the design phase, not just after something breaks in the field - you're often the earliest signal on whether a new module will hold up for an enterprise customer, and that shapes what gets built next What's Different About This Role You'll spend more time specifying and validating than building from scratch. AI produces the first draft; you make sure it's right for this customer Writing instructions AI can act on precisely is a skill you'll build fast here. Vague requests produce vague configurations Judgment matters more, not less. AI speeds up the build, but you decide whether the output is right for this contract, this Board, this customer You'll keep experimenting as our AI tooling evolves, and share what works with the rest of the team About You We don't expect you to know how to do all of this on day one. TL;DR: you're ambitious and hard-working, as comfortable directing an AI agent through a tricky configuration as you are presenting a project plan to an exec. You make up for any gap in experience with hunger and a genuine growth mindset. You derive energy from building relationships, shipping projects, and making customers succeed. 4-8 years in a fast-paced, high-bar environment: a startup, scale-up, consulting, banking, or something you built yourself Less experience? Check out our Solutions Associate role Comfortable directing AI tools to produce first-draft work, and confident enough in your own judgment to catch what's wrong. Prior use of tools like ChatGPT, Claude, or Cursor is a strong plus. What matters most is your ability to write clear, specific instructions and evaluate what comes back Client-facing experience, or the natural gravitas to be excellent at it. You can point to a time you went well beyond what a client expected A track record of doing something exceptionally well, whether that's work, academia, sport, or anything else you've put your mind to Comfortable reasoning about system architecture - how data models, primary keys, and integration sequencing interact across a dozen enterprise systems. You don't need to write the integration code, but you need to know why it breaks and be able to reason with the people who do, and you'll need to become an Omnea product expert You build real relationships with people at any level, from a junior procurement analyst to a CFO, and know how to handle pushback and stakeholder politics, not just build rapport Comfortable running rooms of stakeholders across a genuinely cross-functional tool - on a single project you'll interface with the CPO, Legal, Finance, AP, InfoSec, and Compliance, plus each of their technical resources, often all with competing priorities on the same decision Comfortable moving between the detail and the big picture: configuring a workflow in the morning, presenting a project plan to an exec in the afternoon Entrepreneurial, have high ownership, and want to be part of building something. We've signed up to the Future Founder Promise An excellent communicator: clear and concise, verbal and written, even when the subject is complicated Highly organised: comfortable running 3-5 enterprise deployments concurrently, each at a different stage, without dropping any of them At Omnea, we embrace diversity. To build a product that's loved by everyone, we're best served by a team with all sorts of backgrounds, experiences, and perspectives. We encourage you to apply even if your experience doesn't quite match the full job spec! And regardless of your race, religion, colour, gender, or anything else! If you think you could be a good fit for Omnea, please reach out. A few things to note: We offer competitive geo-localised benefits, and you can check out our UK Benefits Package here and our US Benefits Package here. We work Tuesdays . click apply for full job details

# Senior Intelligence Analystat Chainalysis • London, United KingdomBack to jobs1. Home2. Jobs3. United Kingdom4. Senior Intelligence Analyst4h agoC Senior Intelligence AnalystChainalysis31Intelligence AnalysisFull-timeLondon, United Kingdom Visa RelocationApply Job Job DescriptionThe R&D team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate.Chainalysis data has helped solve some of the world's highest-profile criminal cases and made it safer for people everywhere to access crypto. The Global Intelligence Team produces the attribution at the heart of that data - connecting on-chain activity to the real-world entities behind it, across the global crypto ecosystem. It's the intelligence data moat beneath every Chainalysis product, and what investigators and law enforcement rely on to follow the money and disrupt crime.As a Senior Intelligence Analyst, you'll deepen it at its hardest edges and act as a force multiplier for the team. You'll collect, analyze, and produce intelligence across the crypto-services ecosystem - but your real leverage is scale: you'll design the AI and automation that multiply the whole team's output, set the analytic standard, shape what we collect, and level up the analysts around you.Who you'll work withYou'll join a fast-moving, globally distributed team of analysts collaborating across time zones - async and in real time. We move fast, hold each other to a high bar, and back each other up across regions - and as a senior member, you'll help set that bar.In this role, you'll:- Own attribution for the most complex, high-stakes parts of the ecosystem, and set the standard for how it's done.- Design and lead the AI/automation that scales attribution across the team.- Shape collection strategy - what data we need and how we get it.- Mentor analysts and raise the team's tradecraft.- Contribute analyses and insights that feed our products and customers.- Become a certified cryptocurrency professional across all Chainalysis certifications.We're looking for candidates who have:- Elite potential and a proven track record - exceptional aptitude, judgment, and work ethic. This is a demanding, high-bar role, and you raise everyone around you.- 5+ years of strong analytic or investigative work, including leading hard problems end to end.- Strong research instincts and analytic rigor.- Initiative - you set the agenda: you see what the team should be working on and drive it.- Adaptability - comfortable with ambiguity and energized by a fast-moving space; the threats, the tech, and our tooling are always evolving.- AI-forward instincts - you build automation to scale your work and others'.- Comfort working with data; blockchain forensics experience a plus.- Excellent writing and communication.AI at ChainalysisAI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.About ChainalysisChainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.You belong here.At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We're ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here We can't wait to meet you. Skills Required analytical skills investigative skills AI/automation data analysis cryptocurrency forensics writing communication

Lead Machine Learning Scientist, FinCrime Location: Cardiff, London or Remote (UK) We are seeking a Lead Machine Learning Scientist to join Monzo's FinCrime team. You will lead the development and deployment of advanced machine learning models to detect financial crime and fraud, while protecting genuine customers and optimising operational costs. About our Machine Learning FinCrime Team Our Financial Crime Data team consists of 25+ people across analytics engineers, data analysts, machine learning scientists and data scientists. You will be part of a fast-moving environment building defensible capabilities to keep Monzo and our customers safe. Our work has a direct impact on customer experience and the company's bottom line by reducing fraud and scams in financial transactions. Our ML scientists work on problems spanning fraud detection and prevention, transaction monitoring for suspicious activity, customer risk assessment and operational tooling. What you'll be working on A Lead Machine Learning Scientist is a technical individual contributor (IC) leadership role. You will be expected to leverage deep experience in developing and deploying advanced ML models on a modern cloud-native data platform to: Automatically and accurately detect suspicious user behaviors while minimising impact to genuine customers and operational costs Adapt quickly to changing fraud and financial crime trends, maintaining performance over time You will justify and demonstrate effectiveness, ensuring the approach meets business and customer needs. You will provide technical leadership and ship high-impact ML solutions, collaborating with product managers, data scientists, backend engineers and designers in an agile environment. You will also help steer technical work and raise standards within the ML discipline. This will involve: Identifying and scoping opportunities across the organisation to tackle financial crime and fraud with ML Leading the design and development of advanced real-time ML models, including neural networks, graph-based and sequence-based architectures Providing technical leadership to raise levels of expertise and best practices, including mentoring others Working with the MLOps team to drive tooling for rapid model iteration and lifecycle optimisation You should apply if What we're doing at Monzo excites you. Multiple-year track record of leading development and deployment of advanced ML models to tackle real business problems, preferably in a fast-moving tech company Experience shipping deep learning, graph-based or sequence-based ML architectures to production with measurable business impact You are impact-driven and own the end-to-end journey from problem to measurable production impact You are a self-starter who proactively identifies issues and opportunities and tackles them Interest in reducing financial crime and protecting customers with data-driven strategies Extensive experience writing production Python code and strong SQL; comfortable with these daily and keen to learn Go Experience working in a team dealing with ambiguity and helping resolve it Desire to be involved in building a product you and others use daily Product mindset focused on customer outcomes and data-informed decision making Interest in fast-moving ML developments and ability to communicate ideas to non-domain colleagues Adaptable, curious and eager to learn new technologies Nice to have Experience with financial crime and regulated institutions Commercial experience writing production-ready code and working with microservices The interview process Our interview process involves four stages. We will not ask brain teasers or trick questions. 30-minute recruiter call 45-minute call with hiring manager 60-minute product & ML interview 60-minute behavioural interview Our average process takes around 3-4 weeks and we will work around your availability. If you have questions, contact . What's in it for you We offer visa sponsorship and the option to locate in our London office or work remotely within the UK. We provide flexible hours, a learning budget of £1,000 per year for training and conferences, relocation support where applicable, and other benefits. Equal opportunities for everyone. Monzo is an equal opportunity employer and values a diverse and inclusive workplace.

Lead Machine Learning Scientist, FinCrime Location: Cardiff, London or Remote (UK) We are seeking a Lead Machine Learning Scientist to join Monzo's FinCrime team. You will lead the development and deployment of advanced machine learning models to detect financial crime and fraud, while protecting genuine customers and optimising operational costs. About our Machine Learning FinCrime Team Our Financial Crime Data team consists of 25+ people across analytics engineers, data analysts, machine learning scientists and data scientists. You will be part of a fast-moving environment building defensible capabilities to keep Monzo and our customers safe. Our work has a direct impact on customer experience and the company's bottom line by reducing fraud and scams in financial transactions. Our ML scientists work on problems spanning fraud detection and prevention, transaction monitoring for suspicious activity, customer risk assessment and operational tooling. What you'll be working on A Lead Machine Learning Scientist is a technical individual contributor (IC) leadership role. You will be expected to leverage deep experience in developing and deploying advanced ML models on a modern cloud-native data platform to: Automatically and accurately detect suspicious user behaviors while minimising impact to genuine customers and operational costs Adapt quickly to changing fraud and financial crime trends, maintaining performance over time You will justify and demonstrate effectiveness, ensuring the approach meets business and customer needs. You will provide technical leadership and ship high-impact ML solutions, collaborating with product managers, data scientists, backend engineers and designers in an agile environment. You will also help steer technical work and raise standards within the ML discipline. This will involve: Identifying and scoping opportunities across the organisation to tackle financial crime and fraud with ML Leading the design and development of advanced real-time ML models, including neural networks, graph-based and sequence-based architectures Providing technical leadership to raise levels of expertise and best practices, including mentoring others Working with the MLOps team to drive tooling for rapid model iteration and lifecycle optimisation You should apply if What we're doing at Monzo excites you. Multiple-year track record of leading development and deployment of advanced ML models to tackle real business problems, preferably in a fast-moving tech company Experience shipping deep learning, graph-based or sequence-based ML architectures to production with measurable business impact You are impact-driven and own the end-to-end journey from problem to measurable production impact You are a self-starter who proactively identifies issues and opportunities and tackles them Interest in reducing financial crime and protecting customers with data-driven strategies Extensive experience writing production Python code and strong SQL; comfortable with these daily and keen to learn Go Experience working in a team dealing with ambiguity and helping resolve it Desire to be involved in building a product you and others use daily Product mindset focused on customer outcomes and data-informed decision making Interest in fast-moving ML developments and ability to communicate ideas to non-domain colleagues Adaptable, curious and eager to learn new technologies Nice to have Experience with financial crime and regulated institutions Commercial experience writing production-ready code and working with microservices The interview process Our interview process involves four stages. We will not ask brain teasers or trick questions. 30-minute recruiter call 45-minute call with hiring manager 60-minute product & ML interview 60-minute behavioural interview Our average process takes around 3-4 weeks and we will work around your availability. If you have questions, contact . What's in it for you We offer visa sponsorship and the option to locate in our London office or work remotely within the UK. We provide flexible hours, a learning budget of £1,000 per year for training and conferences, relocation support where applicable, and other benefits. Equal opportunities for everyone. Monzo is an equal opportunity employer and values a diverse and inclusive workplace.

Join the world's largest kdb+ Consultancy where every query matters, every millisecond counts and every system you build shapes the future of data-driven finance. At Data Intellect, we thrive on solving complex data challenges in high-stakes environments. We're a team of engineers, problem solvers and collaborators who believe in pushing boundaries, not egos. If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear from you. As a Senior kdb+ Engineer at DI you'll be at the forefront of delivering high-performance, scalable solutions for some of the world's most data intensive financial institutions. You'll: Lead technical delivery on client projects, setting the standard for quality and performance. Design and implement robust kdb+ architectures that handle billions of rows of time-series data. Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code. Mentor and guide junior and mid-level developers, fostering a culture of technical excellence. Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies. What You Bring 5+ years of hands on kdb+ development, with deep expertise in q and time-series data. Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production. Strong background in Unix/Linux environments and scripting. Demonstrated technical leadership and decision making in fast paced projects. Excellent communication skills to explain complex systems to both technical and non technical stakeholders. Experience in capital markets or investment banking, understanding of the domain and its demands. A passion for clean, performant code and continuous improvement. Bonus Points For Experience with AI tooling (Claude, Co Pilot) Experience with Python, cloud platforms (AWS, GCP, Azure), or other time series databases. Exposure to tick data, real time analytics, electronic trading systems. People management or team leadership experience. Why Join Data Intellect? Hybrid & flexible working - balance your time between home and our global offices. Global opportunities - work with clients in London, New York, Hong Kong, Singapore, Toronto and beyond. Continuous learning - day one access to paid training, certifications and leadership development. Clear progression pathways - biannual promotion cycles and monthly 1:1s to excel your career growth and development. Healthcare & wellbeing - provider dependent on region. Flexible, increasing holiday allowance - option to work bank holidays providing greater flexibility in holiday usage Generous referral bonuses, exciting social events and so much more - we work hard and celebrate harder. Fair Employment & Equal Opportunities We're proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process.

Join the world's largest kdb+ Consultancy where every query matters, every millisecond counts and every system you build shapes the future of data-driven finance. At Data Intellect, we thrive on solving complex data challenges in high-stakes environments. We're a team of engineers, problem-solvers and collaborators who believe in pushing boundaries, not egos. If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear from you. As a Senior kdb+ Engineer at DI you'll be at the forefront of delivering high-performance, scalable solutions for some of the world's most data-intensive financial institutions. You'll: Lead technical delivery on client projects, setting the standard for quality and performance. Design and implement robust kdb+ architectures that handle billions of rows of time-series data. Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code. Mentor and guide junior and mid-level developers, fostering a culture of technical excellence. Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications. Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies. What You Bring 7+ years of hands on kdb+ development, with deep expertise in q and time-series data. Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production. Strong background in Unix/Linux environments and scripting. Demonstrated technical leadership and decision-making in fast paced projects. Excellent communication skills to explain complex systems to both technical and non technical stakeholders. Experience in capital markets or investment banking, understanding of the domain and its demands. A passion for clean, performant code and continuous improvement. Bonus Points For: Experience with AI tooling (Claude, Co Pilot) Experience with Python, cloud platforms (AWS, GCP, Azure), or other time-series databases. Exposure to tick data, real-time analytics, electronic trading systems. People management or team leadership experience. Contract and permanent opportunities available. Data Intellect is a specialist data and technology consultancy with deep expertise in capital markets. We build high-performance systems that power trading, risk, and analytics for some of the world's most demanding clients. Our expertise spans kdb+, AI, data engineering, regulatory technology and enterprise platforms. We're growing, fast! Fair Employment & Equal Opportunities We're proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process. Ready to lead the next generation of high performance kdb+ solutions? Challenge Accepted. Apply now.

Join the world's largest kdb+ Consultancy where every query matters, every millisecond counts and every system you build shapes the future of data-driven finance. At Data Intellect, we thrive on solving complex data challenges in high-stakes environments. We're a team of engineers, problem solvers and collaborators who believe in pushing boundaries, not egos. If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear from you. As a Senior kdb+ Engineer at DI you'll be at the forefront of delivering high-performance, scalable solutions for some of the world's most data intensive financial institutions. You'll: Lead technical delivery on client projects, setting the standard for quality and performance. Design and implement robust kdb+ architectures that handle billions of rows of time-series data. Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code. Mentor and guide junior and mid-level developers, fostering a culture of technical excellence. Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies. What You Bring 5+ years of hands on kdb+ development, with deep expertise in q and time-series data. Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production. Strong background in Unix/Linux environments and scripting. Demonstrated technical leadership and decision making in fast paced projects. Excellent communication skills to explain complex systems to both technical and non technical stakeholders. Experience in capital markets or investment banking, understanding of the domain and its demands. A passion for clean, performant code and continuous improvement. Bonus Points For Experience with AI tooling (Claude, Co Pilot) Experience with Python, cloud platforms (AWS, GCP, Azure), or other time series databases. Exposure to tick data, real time analytics, electronic trading systems. People management or team leadership experience. Why Join Data Intellect? Hybrid & flexible working - balance your time between home and our global offices. Global opportunities - work with clients in London, New York, Hong Kong, Singapore, Toronto and beyond. Continuous learning - day one access to paid training, certifications and leadership development. Clear progression pathways - biannual promotion cycles and monthly 1:1s to excel your career growth and development. Healthcare & wellbeing - provider dependent on region. Flexible, increasing holiday allowance - option to work bank holidays providing greater flexibility in holiday usage Generous referral bonuses, exciting social events and so much more - we work hard and celebrate harder. Fair Employment & Equal Opportunities We're proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process.

Join the world's largest kdb+ Consultancy where every query matters, every millisecond counts and every system you build shapes the future of data-driven finance. At Data Intellect, we thrive on solving complex data challenges in high-stakes environments. We're a team of engineers, problem-solvers and collaborators who believe in pushing boundaries, not egos. If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear from you. As a Senior kdb+ Engineer at DI you'll be at the forefront of delivering high-performance, scalable solutions for some of the world's most data-intensive financial institutions. You'll: Lead technical delivery on client projects, setting the standard for quality and performance. Design and implement robust kdb+ architectures that handle billions of rows of time-series data. Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code. Mentor and guide junior and mid-level developers, fostering a culture of technical excellence. Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications. Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies. What You Bring 7+ years of hands on kdb+ development, with deep expertise in q and time-series data. Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production. Strong background in Unix/Linux environments and scripting. Demonstrated technical leadership and decision-making in fast paced projects. Excellent communication skills to explain complex systems to both technical and non technical stakeholders. Experience in capital markets or investment banking, understanding of the domain and its demands. A passion for clean, performant code and continuous improvement. Bonus Points For: Experience with AI tooling (Claude, Co Pilot) Experience with Python, cloud platforms (AWS, GCP, Azure), or other time-series databases. Exposure to tick data, real-time analytics, electronic trading systems. People management or team leadership experience. Contract and permanent opportunities available. Data Intellect is a specialist data and technology consultancy with deep expertise in capital markets. We build high-performance systems that power trading, risk, and analytics for some of the world's most demanding clients. Our expertise spans kdb+, AI, data engineering, regulatory technology and enterprise platforms. We're growing, fast! Fair Employment & Equal Opportunities We're proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process. Ready to lead the next generation of high performance kdb+ solutions? Challenge Accepted. Apply now.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are seeking a Quantitative AI Strategist to join our quantitative analytics team. This is a front-office role at the intersection of quantitative finance, AI, and product development - focused on building and evolving the firm's AI powered research and analytics platform. The platform helps traders, researchers, analysts, and risk managers move from questions to actionable insight by unifying analytics, data, and research. Your job is to make it indispensable - by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality. You will have broad exposure across asset classes, desks, and problem types - from signal generation and backtesting to risk analysis and research analytics - while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI assisted trading and research. The ideal candidate will be able to: Work directly with trading desks across asset classes and other stakeholders across the firm to identify high value use cases for the platform. Determine the right balance between AI autonomy and structured tooling - deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose built code it should call - and build accordingly. Work with front office stakeholders to turn desk needs into well defined quantitative problems/workflows, and collaborate with technology teams and quantitative researchers to deliver solutions. Key Responsibilities: Prototype and validate quantitative workflows end to end - from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis - while defining how the AI should interact with data sources, analytics libraries, desk specific tools, etc., and work with engineers to deliver them as production platform capabilities. Write high quality platform code and quantitative libraries - including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI. Enhance the platform's ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets. Continuously evaluate how the platform is used, identify where it excels and where it falls short, and drive improvements that deliver measurable value to trading and research workflows. Engage with stakeholders across the firm - trading desks, risk management, researchers, new joiners, and others - to discover emerging use cases and adapt the platform's capabilities accordingly. Proactively identify new use cases and capabilities as AI technology evolves. Act as the first line of quantitative support for platform users - diagnosing issues, feeding insights back into platform development, and ensuring a high quality user experience. Qualification and Experience: Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field. 3-7 years' experience in a front office quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes. Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution. Experience building or contributing to internal analytics platforms or tools used by traders and researchers. Experience with signal generation, backtesting, or systematic strategy development. Strong programming skills in Python. Familiarity with Git and collaborative development workflows. Familiarity with AI technologies and their application to quantitative workflows is a strong plus. Experience building AI agents is a strong plus. Excellent communication skills - able to engage directly with trading desks to understand their needs, formalize them into quantitative specifications, and collaborate effectively with software engineers. Strong problem solving ability, intellectual curiosity, and comfort working across team boundaries in a fast paced trading environment. Strong ability to quickly learn and adapt to new technologies - particularly important given the rapid pace of development in AI. 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Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future. About the Role We are hiring a Support Desk Analyst to join our Support & Operations team and serve as the frontline of our technical support organization. In this role, you will provide first- and second-line technical support to both internal teams and customers. You will handle incoming support requests, troubleshoot technical issues, and elevate more complex challenges to specialist teams. This role requires strong problem solving ability, clear communication, and a structured, methodical approach in a fast paced, high growth environment. Your work will directly impact customer satisfaction, internal productivity, and operational excellence. What you'll be doing Support Delivery & Ticket Management Handle incoming support requests via email, ticketing systems, and chat channels. Diagnose and resolve technical issues for internal users and customers. Log, track, and maintain accurate updates on all support tickets. Prioritize and elevate issues appropriately based on severity and impact. Maintain professional, clear, and courteous communication with all stakeholders. Technical Troubleshooting Provide first-line technical support for hardware, software, and cloud infrastructure issues. Troubleshoot connectivity, access, authentication, and configuration problems. Document issues and resolutions to build and maintain a searchable knowledge base. Identify recurring patterns and elevate systemic issues to engineering teams. User Support & Enablement Assist users with account setup, permissions, and authentication challenges. Provide clear, easy-to-understand technical guidance to non-technical users. Support onboarding and off boarding processes with technical provisioning and deprovisioning. Create and maintain documentation for common support scenarios. System & Process Improvement Contribute to continuous improvement of support workflows and procedures. Identify opportunities to automate repetitive or manual tasks. Participate in team knowledge sharing and training sessions. Support implementation of new support tools and systems. Cross-Functional Collaboration Work closely with Internal IT, Infrastructure, and Platform Engineering teams. Coordinate escalations with specialist teams to ensure timely resolution. Support incident response processes and contribute to resolution efforts. Communicate effectively with both technical and non-technical stakeholders. About You 2-3 years of experience in a technical support, help desk, or similar customer facing technical role. Strong troubleshooting and analytical problem solving skills. Excellent written and verbal communication skills. Ability to work effectively in a fast paced, high growth environment. Highly organized, disciplined, and detail oriented. Reliable and methodical with a strong sense of ownership. Strong team player with the ability to build positive working relationships. Technical Knowledge Solid understanding of IT fundamentals (networking, operating systems, cloud concepts). Experience supporting Windows and/or macOS environments. Familiarity with ticketing systems and support tools. Basic understanding of IT security and data protection principles. Experience using remote support tools and VPN technologies. Preferred Experience in a startup or scale up environment. Familiarity with cloud platforms (AWS, GCP, Azure). Exposure to GPU infrastructure or AI/ML tooling environments. Knowledge of IT Service Management (ITIL) practices. CompTIA A+, Security+, or similar certifications. Experience supporting engineering or technical teams. Mindset & Attributes Proactive, solution oriented approach. Calm and professional under pressure. Genuine desire to help and support others. Quick learner with adaptability to new tools and processes. Strong work ethic and commitment to delivering excellent service. Comfortable working independently and collaboratively. What we can offer you At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive package (base + equity) with reviews every 12 months. Join one of the fastest growing tech startups - your chance to collaborate with brilliant minds and support cutting edge AI infrastructure. Expect a dynamic progression plan tailored to your ambitions. Grow into senior support, specialist engineering, or broader technical roles with our full support. Human First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. Learning & Development: Access training resources and certification support to advance your technical skills. Career Growth: Clear pathways into senior support, infrastructure, platform engineering, or other technical career tracks. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice:Here.