348 jobs found

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world's largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner's Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024). HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional - it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world's top organizations. HackerOne Values HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability. Senior Sales Engineer Remote Location: London, UK Position Summary HackerOne is looking for a Senior Sales Engineer to join a fast-growing company that is bringing a fresh and disruptive approach to information security. You will partner directly with Account Executives and Channel Partners to successfully prospect and sell into specific accounts where your technical and domain expertise makes the difference. As the technical expert, you will work with prospects to understand their business problems, technical architecture, and attack surface to design the right solution. You will also work closely with product and engineering to bring the sales perspective to product roadmap discussions. You will become an evangelist for the power of hackers and HackerOne. What You Will Do Partner with the sales team to provide technical and domain expertise for specific opportunities, develop account strategies, and uncover additional business opportunities Develop and deliver demonstrations of the HackerOne platform tailored to a specific customer's business and use case Own the technology evaluation stage of the sales process with our prospects of various technical levels Develop documentation and workflows specific to a customer's implementation plan Lead tailored product workshops and deep dives in key accounts Analyze feature requests from customers and prospects and provide feedback to our engineering and product management teams to help orient the product roadmap Provide technical perspective on active deals and help accurately forecast deals Support marketing by evangelizing HackerOne and hackers in general at trade shows, conferences, and webinars Stay on top of industry news and developments to provide and maintain a deep industry and domain expertise Minimum Qualifications 5+ years of pre sales experience with at least 3 years working with Enterprise customers 2+ years of security experience in a Software as a Service product, understand security fundamentals and common vulnerabilities (e.g. OWASP Top Ten, can scope a pentest, can price a bounty reward) Excellent communication, presentation, and demonstration skills. This role requires you to understand and articulate both the business value and technical advantages of our platform. Passionate about technical sales and working with prospective buyers and customers to understand their business and challenges Ability to take feedback early in the sales process and synthesize it into actionable feature requests for our product development team A highly self-motivated and creative problem solver A continuous learner Ability and willingness to travel Preferred Qualifications Experience cross-selling or upselling Enterprise, Strategic, or Named customers to expand their usage. Experience with vulnerability management, penetration testing, or red teaming assessments. Ability to take feedback early in the sales process and synthesize it into actionable feature requests for our product development team. Compensation Base: £94,000 - £115,000 OTE: £126,000 - £154,000 Offers Equity Job Benefits: Health (medical, vision, dental), life, and disability insurance Equity stock options Retirement plans Paid public holidays and unlimited PTO Paid maternity and parental leave Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act) Employee Assistance Program Eligibility may differ by country We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with as our Employer of Record (EOR). Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check. HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws. This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time. For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

Data Architect Mainframe Migration & Modernisation (Contract) Were recruiting an experienced Data Architect to lead a critical mainframe data migration and modernisation programme for a large enterprise environment. This is a hands-on, delivery-focused role working on complex Db2 on z/OS systems and migrating data to modern cloud-based relational platforms click apply for full job details

Overview Role: Pega Principal System Architect Locations: Birmingham Level: 7 - Manager Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history, typically including no periods of 30 consecutive days or more spent outside of the UK. The above information relates to a specific client requirement. Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO Responsibilities As a Principal System Architect (PSA), you will lead the end to end architectural design, development, and implementation of complex, enterprise grade solutions on the Pega platform. You will collaborate with cross functional teams and senior stakeholders to ensure that technical solutions align with business objectives, industry standards, and client expectations. You will guide teams, influence strategic decision making, and drive technical excellence across engagements. As a member of our team, you will have the opportunity to: Lead Pega Architectural Design & Delivery Architect, design, and oversee the implementation of scalable, high performance Pega solutions that meet business and technical requirements. Establish Best Practices & Frameworks Define and enforce Pega development standards, methodologies, guardrails, and reusable frameworks to drive consistency and technical excellence. Stakeholder Collaboration Partner with senior stakeholders and clients to define technical strategies, solution roadmaps, project scope, and architectural direction. Team Leadership & Mentorship Guide, mentor, and support teams of system architects and developers throughout the full solution lifecycle, ensuring quality, compliance, and best practice implementation. Solution Reusability & Optimization Maximize solution portability and maintainability by leveraging Pega best practices, reusable assets, and platform capabilities. Performance, Scalability & Optimization Lead performance tuning, scalability assessments, and system optimization initiatives to ensure robustness, efficiency, and production grade stability. Technical Problem Solving & Risk Management Provide expert leadership during project decision points, including risk mitigation, scope refinement, and complex technical problem solving. Innovation & Thought Leadership Stay current with Pega roadmap developments, ecosystem trends, and emerging technologies; apply this knowledge to enhance client solutions and delivery practices. Stakeholder Engagement & Communication Facilitate workshops, design sessions, and technical meetings; ensure clear communication of complex concepts to both technical and non technical audiences. Qualifications We are looking for experience in the following skills: 12+ years of experience designing and implementing enterprise level solutions, with significant focus on Pega out of which at least 4 years working as Pega LSA. Deep expertise in Pega architecture, center-out architecture, Pega Infinity, case management, integration patterns, and BPM concepts. Proven experience leading large scale Pega implementations in complex enterprise environments. Strong knowledge of Object Oriented concepts, solution design principles, and enterprise integration strategies. Hands on leadership experience in Agile/Scrum delivery environments. Demonstrated ability to mentor architects and developers, fostering technical growth and quality delivery. Excellent communication, stakeholder management, and decision making skills. Pega certifications preferred, including: Pega Certified Lead System Architect (CLSA) V Infinity 23 or 24 Industry or functional domain expertise (Government, financial services, telecom) Experience with Intelligent Automation, Customer Engagement, or AI driven decisioning using Pega capabilities. Prior consulting or professional services experience working directly with clients. Experience deploying Pega solutions on cloud platforms (Pega Cloud, AWS, Azure). Experience mentoring and developing junior technical staff. What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Closing date for this role is 28/03/26 Locations Birmingham Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at

Head of Testing (Manchester / Cheltenham / London) About Finova Finova is the UK's largest financial services technology provider, supporting one in every five mortgages nationwide. Our agile, cloud-native solutions enable over 60 banks, building societies, specialist lenders, equity release providers and a network of 2,400+ brokers to stay ahead in a competitive market. Built on open architecture and backed by deep industry expertise, our platform is designed to scale. Each year, we process over £50 billion in loans, manage nearly £50 billion in savings, and support the digital servicing of more than 650,000 UK borrower accounts. Be part of a team that's driving innovation, enabling growth and shaping the future of UK lending. For Lenders Finova offers a flexible, modular technology suite designed to help lenders move faster, scale efficiently and deliver standout digital experiences. Financial Institutions use Finova to launch products faster, process applications up to 50% more efficiently and reduce operational costs - all while staying fully compliant in a fast-moving market. About the role We're looking for a senior testing leader to take full ownership of quality across Finova's three platforms; Enterprise, Apprivo and MSO. This role exists to bring clarity, credibility and consistency to how testing is understood, planned and executed, both internally and with customers. Over the next 12 months, your impact will be measured by the confidence you build in our testing strategy, the uplift in modern and automated testing practices, and the strength of customer trust in our testing teams. You will be the senior authority shaping testing theory, defining principles, and ensuring testing is embedded early in delivery. This is a highly visible, customer-facing position with accountability for leading a 50-strong testing organisation and transforming our approach into one that is modern, automation-led and recognised by customers as expert and advisory not just execution-focused. What you'll be doing End-to-end ownership of testing & quality Own testing and quality outcomes across all platforms (Enterprise, Apprivo, MSO). Establish clear testing principles, standards and risk thresholds for the organisation. Embed testing early in design and delivery decision making. Act as the senior owner for testing related risk, trade offs and escalations. Customer facing testing leadership Represent Finova as a credible, senior testing authority in customer engagements. Clearly explain and defend testing strategies, rationale and decisions to customers. Provide assurance on coverage, risk and readiness for complex changes, migrations and high risk releases. Step in directly where customer confidence needs rebuilding or reinforcement. Testing strategy, theory & approach Define and communicate Finova's overarching testing philosophy and theory. Ensure teams can articulate both why and how testing is performed. Translate theory into practical, scalable and repeatable delivery models. Test planning & execution assurance Oversee and assure test strategies and test plans for major deliveries. Support teams in designing robust, proportionate plans aligned to customer risk appetite. Ensure clear communication of test coverage and outcomes to customers. Intervene when planning or execution quality is weak or inconsistent. Automation & modern testing transformation Lead the transition to automation led, engineering focused testing practices. Demonstrate fluency across automated testing technologies used across multiple stacks. Balance automation with appropriate manual and exploratory testing approaches. People & capability leadership Lead, mentor and develop a 50 person testing organisation, including customer facing roles. Build capability to operate confidently with both customers and delivery partners. Upskill teams in automation, modern testing theory and customer communication. Foster a culture of professionalism, ownership and continuous improvement. About you You will be a strong fit for this role if you are: Customer centric and confident operating directly with senior stakeholders. Technically credible, with deep understanding of modern testing practices, automation and testing theory. Pragmatic and calm under pressure, able to make balanced decisions around risk and trade offs. An exceptional communicator, capable of turning complex testing concepts into customer ready assurance. A transformational leader, passionate about elevating teams, maturing practices and driving measurable improvements in quality. What We Offer Hybrid working: At Finova, we believe the best outcomes come from working together - and having the flexibility to work in a way that suits both our people and our business. We operate a hybrid working model, with most teams spending around three days a week in the office and with our customers. This time together helps us stay connected, collaborate more effectively, and solve complex challenges as a team. We also know that flexibility matters. Our approach is designed to support a healthy balance, combining in person collaboration with the freedom to work remotely where it makes sense. Holiday 25 days holiday plus bank holidays, bank holiday trading and holiday purchase options, the opportunity to work from anywhere in the world for up to 4 weeks per year. Looking After You Life Assurance, Group Income Protection, Private Medical Insurance, a pension scheme via Salary Exchange, an Employee Assistance Programme, and access to a Virtual GP. Family Friendly Policies Enhanced maternity and paternity pay, as well as paid time off for fertility treatments and pregnancy loss. Extra Perks Cycle to Work Scheme, discounts on shops, restaurants, and gym memberships, free fresh fruit daily, and opportunities to join colleague networks and social groups. Giving Back One paid volunteering day annually and the Give As You Earn scheme to support your favourite charities. Equal Opportunity Statement We value diversity and are committed to creating an inclusive environment for all employees. If you're passionate about this role but don't meet all the criteria, please reach out-we'd love to discuss how your skills and experiences align with our needs.

A global financial services firm in Glasgow is seeking a Principal Architect to develop architecture solutions for its Core and Foundational Platforms. This role involves influencing the architecture of multiple product lines, designing scalable solutions, and integrating private and public clouds. The ideal candidate will have a strong background in system design, cloud platform experience, and proven problem-solving skills. Join a dynamic team focused on building innovative infrastructure solutions.

Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new

Risk Reporting Data Strategy are responsible for requirements gathering, and supporting the design, and optimization of data structures that support the firm's risk management objectives. This role partners closely with Risk Management, Product, Technology, Chief Data Office and Risk Reporting stakeholders to validate that risk data is accurately captured, transformed, and presented in a manner that enables effective risk analysis, regulatory compliance, and strategic decision-making. As a Vice President within Risk Reporting Data Strategy team you willbe involved in integrating target-state data models with future-state reporting tools, and validating their compatibility and efficiency in collaboration with Technology-aligned Information Architects and Risk Reporting end-users. Job Responsibilities Collaborate with Risk Reporting teams to understand reporting requirements, identify atomic data elements, transformations and aggregations and translate into requirements. Partner with Technology Information Architect to review and maintain robust data models for risk reporting, maintaining scalability, accuracy, consistency, and alignment with Risk Reporting and Data Strategy requirements. Support the integration of risk data from multiple sources to a cloud based architecture with AI capabilities, to enable accessibility for reporting and analytics. Review data quality controls, validation processes, and governance frameworks, adapting to revised data sourcing patterns to maintain the integrity, accuracy, and security of risk data. Support functional reporting teams as they develop reporting on target state platforms, including dashboards and visualizations. Partner with Technology Architects, Data Engineers, and Reporting Analysts to align and optimize data structures / outputs with enterprise standards and best practices, including testing data models against reporting toolsets to validate compatibility and performance. Continue to enhance the BCBS 239 (Risk Data Aggregation and Reporting) framework to maintain compliance with regulatory expectations. Required qualifications, capabilities, and skills Experience in data requirements gathering. Experience in SQL and Python. Experience with Business Intelligence tools such as Databricks. Excellent analytical, problem-solving, and communication skills. Experience with data governance, data quality frameworks. Ability to work collaboratively across business and technology teams.