Full-Time
Solution Engineer
Public Sector
Quantexa
501-1,000 employees
AI-driven decision intelligence for risk
Compensation Overview
$136k - $166k/yr
Boston, MA, USA + 1 more
More locations: New York, NY, USA
Hybrid
Hybrid work is required in New York or Boston.
 Sales & Solution Engineering (1) |
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- Experience in a commercially focused technical role such as Solution Engineering, Presales, Technical Sales, or Value Consulting, selling software solutions within public sector organisations and departments.
- Domain expertise across multiple areas of government, including tax or value-added tax evasion, customs and border risk assessments, public security, and benefits fraud, waste, and abuse.
- Excellent interpersonal, written, and verbal communication skills, with a track record of effective customer engagement.
- Experience across at least two solution areas, such as Financial Crime, Data Management, or Customer 360, with deep expertise in at least one within the banking sector, focused on either technical or business capabilities.
- Strong technology knowledge, particularly in enterprise software environments.
- Successfully led a minimum of five extensive proving engagements, including proofs of concept or early implementation phases, or all of the following activities: technical workshops, prototypes, bespoke demonstrations, and business cases.
- Confidence presenting and pitching solutions to senior stakeholders within government organisations.
- A proven ability to drive innovation and best practices that elevate Solution Engineering performance, with multiple examples of successful implementation.
- Fluency in English.
- Communicate the value and impact of the Quantexa Decision Intelligence Platform, helping prospects understand how it enables smarter, faster, and more confident decision-making through connected, trusted data.
- Identify and position the right Quantexa solution tailored to each prospect’s specific needs.
- Guide prospects through a clear, outcome-driven solution strategy that sets the stage for long-term value and success.
- Act as a functional expert in Quantexa’s platform and products, with a strong understanding of their capabilities and real-world applications.
- Articulate and present the value of the platform, demonstrating how Quantexa solves specific pain points and enables better decision-making.
- Represent Quantexa at industry events, customer meetings, and webinars, showcasing its capabilities and thought leadership.
- Own the technical aspects of the sales cycle, working alongside Sales, Architects, Product, and subject-matter experts.
- Drive winning proposals, including requests for proposals and requests for information.
- Strategically own the design and execution of proofs of concept and trials, ensuring alignment with customer objectives.
- Lead the design and iteration of tailored solutions, working with partners, customers, and internal teams to define the right approach.
- Design, adapt, and deliver customised product demonstrations, both in person and remotely, that engage stakeholders ranging from users to executives.
- Guide and shape discovery sessions with prospects and partners, uncovering core business challenges and technical needs.
- Deep expertise in data-driven, analytical solutions such as Entity Resolution, Graph Generation, Advanced Analytics, and Master Data Management.
- Domain knowledge in areas such as Risk, Fraud, Anti-Financial Crime, Anti-Money Laundering, Know Your Customer, Customer Relationship Management, and Customer Intelligence.
Quantexa builds a decision intelligence platform powered by AI to unify and analyze large data sets for financial institutions, government agencies, and large enterprises. The platform ingests and links data from many sources to surface risks, detect fraud, and support regulatory compliance, with customers paying for the software as a subscription plus optional consulting and support services. It differentiates itself by focusing on creating a trusted data foundation and automating decision-making across complex, regulated data sources for large organizations. Its goal is to help clients automate decisions, improve operational efficiency, and grow revenue by turning data into clear, actionable insights.
Company Size
501-1,000
Company Stage
Series F
Total Funding
$545M
Headquarters
London, United Kingdom
Founded
2016
Get referred to Quantexa
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Simplify's Take
What believers are saying
- March 5, 2025 Series F raised $175 million at $2.6 billion valuation.
- January 29, 2026 Gartner named Quantexa a Leader in Decision Intelligence Platforms.
- November 18, 2025 Microsoft Fabric GA expands distribution inside OneLake and Copilot.
What critics are saying
- Bloomberg on August 5, 2025 said Quantexa targets a 2026 IPO above $3 billion.
- Quantexa still depends on a few giant deals; HMRC and Moody's dominate narrative.
- Microsoft Fabric, Palantir, and Dataiku can commoditize Quantexa's decision-intelligence layer by 2027.
What makes Quantexa unique
- Quantexa's entity resolution and knowledge graphs unify fragmented data for auditable decisions.
- HMRC's May 14, 2026 £175 million deal validates national-scale compliance intelligence.
- Moody's partnership on March 3, 2026 broadens risk data depth across banking workflows.
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Benefits
Private Healthcare
Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
20 days annual leave
Work from Home Equipment
Continuous Training and Development
Flexible Work Hours
Pension Scheme
Life Insurance
Work from Home Allowance
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Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↑ 1%2 year growth
↑ 1%60 second briefing: AI and risk. Published on Mon, 18/05/2026 - 15:35 Quickfire Q&A with Vishal Marria, founder and CEO of Quantexa and speaker at the Global Risk Summit What is the most overlooked business risk from AI? The most overlooked risk is blind trust in AI outputs without understanding how decisions are made. When organisations cannot explain the logic, data lineage or uncertainty behind an outcome, they expose themselves to hidden bias, regulatory risk and poor decision-making. How is AI strengthening defenses in a more complex and interconnected risk landscape? AI enables organisations to unify fragmented data and uncover hidden relationships across entities, transactions and behaviours. This context allows them to detect emerging threats earlier, respond faster, and make more informed decisions across interconnected risks. It shifts risk management from reactive to proactive and predictive. Why do many organisations struggle to use their data effectively? Most organisations are rich in data but poor in context. Data remains siloed across systems, functions and geographies, making it difficult to translate into actionable insight. Without connecting data to real-world entities and decisions, organisations generate volume but not value. What's the one question every risk professional should be asking about AI but isn't yet? Can we clearly explain, govern and trust how this AI system reaches its conclusions? If the answer is no, then the organisation is not ready to rely on it for critical decisions. Trust, explainability and control are the prerequisites for scaling AI safely. Quantexa is a global data, analytics and AI software company that helps insurance providers, banks and the public sector use data and AI to make more trusted decisions.
HMRC just hired an AI to find "tax at risk." Your R&D claim needs to be ready for that. * Ross Taylor * May 15, 2026 Yesterday it was announced HMRC has awarded a £175 million, 10-year contract to a British AI firm to do one thing above all others: give the UK's tax authority a clearer, connected view of its data to improve performance, help identify tax at risk, and strengthen control. The firm in question is Quantexa - a company EmpowerRD happened to be nominated alongside at last night's National Technology Awards, in the Tech Growth Business of the Year category. EmpowerRD Limited is proud to share a shortlist with them. But EmpowerRD Limited'd be doing its clients a disservice if EmpowerRD Limited let the award excitement distract from what this contract actually signals for every UK company claiming R&D tax credits. This is not a routine IT upgrade. Britain's tax collection agency has handed Quantexa a £175 million contract to deploy AI systems that will hunt down fraud and catch tax return errors across millions of filings - a deal that marks one of the largest government AI procurement contracts in UK history and signals a major shift toward automated compliance enforcement. If your R&D claim isn't built to withstand that level of scrutiny, today is the day to fix it. What this AI is actually designed to do. Let's be direct about technology. Quantexa's platform doesn't work like typical keyword-matching software. The company specialises in contextual decision intelligence - teaching machines to connect dots across massive datasets. The system can link shell companies, trace hidden ownership structures, and spot anomalies in spending patterns that might indicate tax evasion or honest mistakes that need correcting. Applied to R&D tax credits, that capability matters enormously. HMRC already knew roughly how much it was losing. The UK's tax gap - the difference between taxes owed and collected - sits at an estimated £36 billion annually. R&D tax credits have been a focal point of that concern for years. HMRC created a dedicated R&D Anti-Abuse Unit in July 2022, after its own published analysis revealed that almost 25% of claims in the (now reformed) SME scheme were erroneous or fraudulent. What's new is the scale and sophistication of HMRC's detection capability. Traditional audit methods couldn't scale to catch sophisticated fraud schemes or even simple errors across the millions of returns filed each year. Now they can. For HMRC, this means potentially catching fraud before refunds go out the door rather than chasing money years later through costly enforcement. The direction of travel is clear: HMRC is building an intelligence-led compliance function. The question for every R&D claimant is whether their claim can stand up to it. The risk is already real - This makes it more so. Some will read this news and think: "I'm a legitimate claimant. This doesn't apply to me." That is the wrong conclusion. Even well-intentioned claims are at risk when they're poorly documented. If your claim's technical narrative resembles templated reports, or costs sit outside sector norms without explanation, HMRC's risk tools may rank you at higher risk. The AI doesn't distinguish between a poorly evidenced legitimate claim and a fraudulent one - both look the same to a pattern-matching system. HMRC compliance checks were already rising sharply before yesterdays announcement. The number of compliance checks for 'high-risk' claims increased from 10% in 2023 to 17% in 2024. And the AI system HMRC is now deploying at national scale is explicitly designed to identify tax at risk and strengthen control - including across R&D filings. There's a further dimension here that has been building for some time. HMRC's failure to either confirm or deny its use of AI has reinforced the belief that AI is being used by its case officers. This undermines taxpayers' trust and discourages legitimate claimants - hindering the policy objective of the R&D tax relief scheme. The Quantexa contract makes it explicit: AI is now formally, publicly, and massively embedded into HMRC's compliance infrastructure. There is no more ambiguity. "This is not a reason to avoid claiming. It is a reason to claim properly - with evidence that survives scrutiny, not just software." The compliant majority is paying for the non-compliant minority. This is not a new problem, but it's about to get sharper. The compliant majority are paying for the minority's misdeeds through increased processing periods and enhanced HMRC compliance checks and enquiries. When HMRC's new AI flags a claim as anomalous, the burden of proof falls on the claimant. If your technical narrative is generic. If your cost methodology hasn't been stress-tested. If your supporting documentation was assembled quickly at year-end. You will be the one answering the enquiry letter. For HMRC, the Quantexa agreement forms part of a broader strategy to become "an agile department supported by a modern IT infrastructure." The department is pursuing this through investments in emerging technologies, including generative AI and cloud platforms, legacy system modernisation, and strategic partnerships with technology providers. This is a long-term structural change, not a campaign. The compliance environment for R&D claimants will only become more technically capable over time. What this means for your claim. Here is what EmpowerRD clients - and any company currently claiming R&D tax credits - should be doing right now: * Your technical narrative must be specific. Generic descriptions of "innovative software development" or "overcoming technical challenges" are not defensible. HMRC's AI will compare your language against sector norms and prior claims. Your narrative needs to articulate specific technological uncertainties, specific approaches taken, and specific reasons why the work qualifies. If you can't explain it precisely, neither can your claim. * Your cost methodology must be traceable. Staff time apportionment needs to be grounded in actual project records, not estimates assembled after the fact. Subcontractor costs need contracts and evidence of qualifying activities. Externally provided workers need correct categorisation under the RDEC or SME rules. An AI system built to spot anomalies in spending patterns will find the gaps that a human reviewer might overlook. * Your claim cannot rely on volume - it must rely on substance. The era of high-volume, low-scrutiny R&D claims is over. Every line of your claim needs to be supportable in an enquiry. That means primary-source documentation, project timelines, technical evidence The ultimate guide to R&D tax credit reforms in 2026. Navigate R&D changes and secure your future claims
Quantexa opens new R&D Centre of Excellence in Dublin to accelerate AI and Decision Intelligence innovation. May 7th, 2026 DUBLIN, Ireland - May 7, 2026 - Quantexa, a global data, analytics and AI leader for the banking, insurance and public sectors, today announced the opening of its new Dublin office at 5 George's Dock, located in the heart of Dublin's International Financial Services Centre (IFSC), marking a major expansion of the company's European research and development footprint in Europe. Quantexa's Dublin office will bring together a growing team of data scientists, researchers, and engineers to accelerate the company's investment in AI, machine learning, and decision intelligence. The new centre will play a central role in developing next-generation capabilities, including knowledge graphs, intelligent agents, large language models, and trusted decision intelligence solutions, while deepening collaboration with Ireland's leading universities, research institutions, and technology talent ecosystem to support future growth. The new R&D Centre of Excellence will play a pivotal role in advancing Quantexa's Decision Intelligence Platform by developing next-generation AI and data capabilities that help organizations make faster, smarter, and more trusted decisions. It will also provide a collaborative environment where clients and partners can co-create industry-specific AI solutions tailored to their business objectives, accelerating innovation and delivering measurable outcomes across banking, insurance, the public sector, and other highly regulated industries. By helping organizations connect and operationalize enterprise-wide data at scale, the centre will enable richer insights, stronger performance, and more effective decision-making. Minister for Enterprise, Tourism and Employment Peter Burke said: "Quantexa's decision to establish a new R&D Centre of Excellence in Dublin is a strong endorsement of Ireland's position as a leading global hub for AI, data analytics and advanced technology. This investment highlights the depth of our talent base, the strength of our research ecosystem and Ireland's attractiveness as a location for high-value innovation-led activities. The centre will support highly skilled jobs and further strengthen Ireland's role in developing next-generation AI and decision intelligence solutions for global markets." Vishal Marria, CEO of Quantexa said: "Dublin offers an exceptional combination of world-class technical talent, a vibrant AI research community, and strong support for innovation. This new office gives us the opportunity to deepen our R&D efforts in areas like large language models, knowledge graph technologies, and trustworthy AI. We're excited to build a team here that will help shape the next generation of decision intelligence and deliver meaningful impact for our customers globally." Michael Lohan, CEO of IDA Ireland said: " I am delighted to see Quantexa continuing to grow and invest in Dublin, which is another strong endorsement of Ireland's position as a global innovation hub and as a leading location for financial services companies. We are delighted to support Quantexa as it grows its presence in Ireland and contributes to the continued strength of our technology ecosystem." Quantexa's expansion into Dublin reflects the company's continued growth and commitment to investing in innovation that helps organizations solve complex data challenges. To learn more about Quantexa and careers in its Dublin office, please visit: https://www.quantexa.com/careers/.
Quantexa named a Luminary in Everest Group's Innovation Watch: AI-powered Decision Intelligence 2026 report. Recognition underscores Quantexa's role in helping enterprises move from AI experimentation to trusted, decision centric operations. Apr 21st, 2026 LONDON, April 21th, 2026 - Quantexa, a global pioneer in Decision Intelligence, today announced it has been named as a Luminary in Everest Group's Innovation Watch: AI-powered Decision Intelligence 2026 report. This recognition highlights Quantexa's leadership in advancing AI-powered decision-making through contextualized data, trusted analytics, and explainable AI. Everest Group's Innovation Watch highlights the growing importance of Decision Intelligence as enterprises shift toward decision-centric operating models where data, analytics, and AI are directly tied to business outcomes. The report evaluates leading providers shaping the future of Decision Intelligence, with Luminaries identified as organizations demonstrating exceptional innovation, market impact, and forward-looking capabilities. "Quantexa is positioned as a Luminary in Everest Group's Innovation Watch: AI-powered Decision Intelligence 2026 report, reflecting the strength of its contextual data platform and scalable AI capabilities. By unifying fragmented enterprise data through entity resolution and graph analytics, Quantexa enables trusted, contextual decision-making at scale. Its continued investments in cloud-native architecture, strategic partnerships, and agentic AI grounded in enterprise context strengthen its value proposition for enterprises looking to move from AI experimentation to production-grade decision intelligence," said Amardeep Modi, Vice President at Everest Group. Quantexa's inclusion as a Luminary underscores its continued momentum in helping organizations transform how they use data and AI to make smarter, faster, and more confident decisions. The company's platform enables enterprises in banking and insurance, as well as public sector agencies, to unify siloed data, create a contextual understanding of entities and relationships, and operationalize AI-driven insights directly into business workflows. "Being recognized as a Luminary by Everest Group reinforces what we're hearing from banks and financial institutions globally: the future of AI is about context, trust, and better decision-making across the enterprise," said Vishal Marria, CEO of Quantexa. "Organizations are under pressure to move from insight to action, and that requires a strong data foundation, explainable AI, and the ability to embed intelligence into everyday decisions. That's exactly what we're delivering." To find out more about Quantexa's Decision Intelligence platform, please visit:https://www.quantexa.com/platform/decision-intelligence-platform. You can also find additional leader rankings for Quantexa here. About Quantexa Quantexa is a global data, analytics, and AI software company pioneering Decision Intelligence to help organizations make confident decisions with contextual data. Using the latest advancements in AI, its Decision Intelligence Platform transforms siloed data into connected, contextual insights to empower the shift from a data-driven to a decision-centric organization. Its customers use Quantexa technology to protect, optimize, and grow by solving complex challenges across the entire organization through modern data management, customer intelligence, KYC, financial and economic crime, risk, fraud, and security. Quantexa's Decision Intelligence Platform enhances operational performance with over 90% more accuracy and 60 times faster analytical model resolution than traditional approaches. The company has been named as a Decision Intelligence category and innovation leader by all of the major industry analyst firms. Founded in 2016, Quantexa has over 900 employees and tens of thousands of users globally, working with billions of data points across the world. For more information, visit www.quantexa.com or follow Quantexa Limited on LinkedIn.
3 ways banks can strengthen Supply Chain Integrity. Expose hidden risk with a contextual supplier view to detect fraud sooner, investigate faster, and turn compliance into continuous assurance. Last updated: Mar 26th, 2026 As supply chains grow more complex and interconnected, banks face increasing regulatory scrutiny and more exposure to fraud and third-party risk. Traditional controls, such as periodic reviews and reactive investigations, are no longer sufficient to protect against growing financial crime threats and ensure supply chain integrity. Instead, banks must move toward an intelligence-led, continuously monitored approach. That's why Quantexa Limited partner with PwC to empower financial institutions to combine deep risk and regulatory expertise with contextual data and analytics to detect fraud earlier, investigate faster, and embed proactive governance across supply chains. Here are three top priorities banking leaders should focus on: 1. Build a contextual 360° view of suppliers to enable integrated risk intelligence. Supplier data is often scattered across procurement systems, onboarding tools, compliance checks, and external sources. This fragmented data limits visibility and makes it difficult to identify hidden connections that may pose a threat to your organization. By connecting internal and external data sources across structured and unstructured data, you can create a single 360° supplier view and a contextualized view of risk that makes it easier to identify real threats. Quantexa Limited enable this approach with its market-leading Entity Resolution and graph capabilities, which bring together disparate datasets, resolve entities, and surface relationships between suppliers, counterparties, and third parties. This enables you to uncover hidden connections, identify risk signals earlier, and better understand the broader ecosystem in which a supplier operates. PwC supports the design and implementation of this integrated data approach to ensure alignment with regulatory expectations. 2. Strengthen fraud detection, investigations, and response. Traditional tools can't decipher complex relationships, so they often fail to reveal the hidden connections that pose risks to your organization's reputation and operational integrity. Remaining a step ahead of fraudsters means having the ability to identify suspicious patterns early, investigate them effectively, and act decisively. Its platform enables you to do this by using the power of context to reveal hidden relationships multiple associations away and proactively identify anomalies that alert to meaningful risk. Its analytics help to uncover concealed links between suppliers, counterparties, and high-risk entities to provide a clearer picture of potential fraud exposure. PwC complements this with enhanced due diligence and investigative support to help you interpret insights and validate risks, as well as respond effectively. This combined approach enables you to evolve from reactive case handling to proactive fraud detection and prevention across the supply chain. Building a contextual data foundation not only enables integrated risk intelligence and strengthens compliance, but it also improves onboarding decisions and offers the opportunity to expand into adjacent use cases, such as ESG monitoring, cyber risk oversight, and financial resilience analysis. 3. Embed continuous assurance and holistic supplier risk governance. To remain effective, banks must continuously update and validate the single supplier view as new data, behaviors, and risks emerge. Rather than point-in-time assessments and periodic audits, you need continuous assurance and should opt for ongoing monitoring of supplier relationships, risk indicators, and behavioral patterns to maintain an accurate, real-time understanding of risk. You can develop a holistic risk profile for each supplier that combines signals across compliance (AML, sanctions), fraud, operational performance, and external risk indicators by leveraging integrated data and analytics. This dynamic view allows you to detect changes early, such as emerging financial distress, suspicious network activity, and shifts in ownership structures, which can then trigger timely intervention. Embedding this capability into governance frameworks ensures that all your teams operate with a shared, continuously updated view of supplier risk. PwC supports the design of these governance models and response frameworks to enable faster decision-making and effective remediation, while Quantexa provides the contextual data fabric and monitoring capabilities that underpin continuous assurance. The result is a shift from static oversight to proactive, intelligence-led risk governance, which strengthens supply chain integrity and reduces exposure to fraud in the long term. From uncertainty to advantage. As supply chains are becoming exposed to more risk, it's vital that your organization builds a 360-degree connected view of the entire supplier ecosystem to optimize compliance, protect your reputation, and grow your resilience. You can make that possible with Supply Chain Integrity to transform fragmented data into trusted insight. Strong visibility transforms uncertainty into an opportunity to build resilience and maintain integrity to stay ahead of emerging threats.