Data Excellence Manager in Amsterdam

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto is one of the few markets where the gap between a good model and live PnL comes down to how fast and how reliably you can ship it. Abundant data, novel microstructure, and a short path to production mean the quality of our infrastructure directly moves the edge. We're looking for a Quantitative Developer to build that infrastructure and get our models into production. The role This is a hands-on engineering seat on our trading floor. You'll own the infrastructure that turns research models into production trading systems, working primarily in Python and Rust, the language our models and systems are written in. You'll build the frameworks and tooling that let quants ship their code to production and keep those systems running once they're live. You'll work shoulder-to-shoulder with researchers, traders, and fellow engineers, building the tooling, pipelines, and standards that let good ideas reach production quickly and safely, and helping raise the engineering bar across the floor. You will Build and own the infrastructure that takes models from research to production - data pipelines, backtesting, deployment, and monitoring. Turn research prototypes into robust, performant, production-grade code that runs reliably in live trading Work closely with quantitative researchers and traders to get new models live quickly and safely Own the systems you ship in production: monitor performance, diagnose issues, and keep latency and reliability high Improve the tools, standards, and pipelines the team relies on, raising the engineering bar across the floor What we're looking for 2+ years of software engineering experience, with a track record of shipping production-grade systems A strong academic foundation in a STEM discipline (computer science, mathematics, p

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. You will: Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the modern ML stack (PyTorch and/or

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. You will: Collaborate closely with traders to translate research insights into systematic trading strategies Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we're looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuitive grasp of overfitting, g

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: The Enterprise Account Executive, focusing on bringing new accounts, is an integral part of our Benelux enterprise sales team. This role focuses on new logo growth within the High tech/manufacturing industry, strengthening market presence and engagement. Our Account Executive leverages top-tier products, implements effective sales strategies, and collaborates with various departments, including Value Engineers and Business Development Representatives. The work you’ll do: Discover and cultivate new business opportunities within a designated set of accounts within your assigned client portfolio. Establish and strengthen connections across various levels of the organization, engaging with executives and decision-makers to understand their needs. Comprehend the strategic and operational requirements of your target accounts and proficiently articulate how Celonis can address them. Guide the sales journey, adhering to a structured approach through prospecting, initial contact, qualification, client engagement, needs analysis, solution proposal, and ultimately closing deals. Collaborate with Value Engineering or personally conduct comprehensive presentations and demonstrations tailored to specific use cases, showcasing the value

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role: We are looking for a curious, smart, and “learn it all” Architect with proven experience and a passion for designing transformative solution architectures for our prospects and customers. This high-impact role demands a unique blend of deep technical expertise and executive presence, requiring you to confidently present to C-level executives and translate their strategic goals into actionable technical plans. You will work with technical teams at our prospects and customers to design architectures that drive enterprise modernization , leveraging techniques like capability mapping and exploring innovative solutions with Agentic AI . Your primary goal is to support our growing sales team in achieving revenue goals by unlocking technical blockers and partnering closely with our Sales, Value Engineering, Product Management, Data Ops, and Information Security teams. You will be responsible for supporting engagements with new prospects as well as existing customers that look to expand their footprint. Measures of success include new customer acquisition rates, retention, up-selling, and contribution to overall sales team and business success. The work you’ll do: Lead and define the overall architecture, data, and cloud strategy

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Value Engineering is responsible for our largest Fortune 500 customers and owns their transformation journey by working on the very frontier of what’s possible with data and AI on the Celons Platform. Partnering closely with the Sales team, Value Engineering is responsible for ensuring that the Celonis Platform is deployed to tackle the most strategic business challenges, fits into the right place in our customers’ technology stack and most importantly generates strong ROI through deep and broad deployments. The Role: As a Principal Value Engineer, you are a visionary leader and industry authority spearheading global AI and data-driven business transformations for major organisations, driving the customer’s end-to-end value journey. Operating as the expert technology and business advisor, you will partner directly with Fortune500 CxOs and Board members to reimagine their operating models and optimize critical workflows using the Celonis Context Model. As the AI strategist and thought leader, working alongside Senior and Lead Value Engineers, your core mandate is to design, negotiate, and steer monumental, multi-year programs that permanently alter the competitive landscape for your customers. The work you’ll do: Value Sell

P-1345 You will be the Product Manager for the Databricks Runtime team in Amsterdam. The team works at the intersection of query processing, storage, infrastructure and data governance, all key components of the Databricks data intelligence platform. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance solutions, and open source components, and gather requirements from customers. You will launch features that will impact how customers process petabytes of data every day and make it simpler for them to draw value from their data. This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: Own the end-to-end product management process Gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product Drive launches with product marketing through blog posts, release notes, webinars Define and measure OKRs for your products Drive the prioritization and development of features, measurably reducing the cost and time needed for operating ETL and machine learning workflows. What we look for: 6+ yrs of experience Bachelors degree in Computer Science or similar field Experience in Product Management (inbound, outbound, cross-functional processes) Technical skills Solid understanding of cloud infrastructure (AWS, Azure) Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards) About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks

At Graviton, we don't believe the best trading strategies come from following established playbooks. They come from asking better questions. Why does a pattern exist? What is driving it? Is it real or just noise? Can it be explained, modelled and turned into an edge? As a Quantitative Researcher, you'll work on those questions every day. You'll investigate market behaviour, develop quantitative models, build and test hypotheses and turn insights into trading strategies, working alongside researchers and technologists in an environment where an idea on a whiteboard can reach live trading quickly. This isn't a role where the answers are in a textbook. The problems are open-ended, the data is enormous, and finding the answers is the job. Ideal candidates are rigorous thinkers who genuinely enjoy mathematics, programming and figuring out things that aren't obvious, based in our Singapore, London, Amsterdam or US offices. What You'll Work On You'll work across quantitative research and systematic trading, taking ideas through the full lifecycle: question, hypothesis, experiment, model, validation, strategy, production. Depending on your team and research interests, your work would include: Discovering predictive patterns and sources of alpha from billions of market events Formulating hypotheses about market behaviour and designing experiments to test them Applying probability, statistics, optimization and machine learning to build predictive models and quantitative signals for systematic trading Designing robust backtests and statistical tests to distinguish genuine signals from noise Working with large and complex datasets to uncover patterns that aren't immediately visible Investigating market microstructure and how markets behave at different timescales Evaluating strategy performance, identifying weaknesses and continuously refining models Developing research infrastructure and AI-powered tools and agents that make experimentation faster and analysis deeper Working c

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Services Business Development – Retail & Commerce (Fluent in Dutch) Overview Mastercard Services helps organizations make better business decisions through data, insights, consulting, and technology-enabled solutions. As Mastercard continues to expand its Services business in the Netherlands, we are seeking a Director, Business Development to drive growth across Retail & Commerce organizations. This role will focus on building commercial relationships with leading merchants, identifying new opportunities, and helping customers solve business challenges through Mastercard's broad portfolio of Services offerings. Working closely with specialist sales teams and internal partners, the successful candidate will play a key role in expanding Mastercard's presence within one of its strategic growth segments while supporting long-term revenue growth across the Dutch market. All About the Role • Drive growth of Mastercard Services across Retail & Commerce organizations in the Netherlands. • Develop and expand executive-level relationships within major retail, ecommerce, and fintech accounts. • Identify new commercial opportunities and build a qualified sales pipeline. • Lead customer discussions to uncover business priorities and align Mastercard Services capabilities t

Job Title Internship: Finance & Accounting - Group Consolidation & Reporting (non-thesis) Job Description Start Date : as soon as possible Duration: at least / 6 months Type: Internship (non-thesis) Weekly Presence: 40h Location: Amsterdam Internship: Finance & Accounting - Group Consolidation & Reporting (non-thesis) Assists in the planning and coordination of the quarterly press release and annual report process. This involves liaising with other teams within Royal Philips (e.g., Group Sustainability, Philips Design, Group Tax). Assists in XBRL filings for the Dutch Authority for the Financial Markets (AFM) and the US Securities and Exchange Commission (SEC). Retrieves and processes data from our financial system to our reporting tool. Assists in preparation and presentation of reports or findings for internal and external stakeholders, ensuring that all findings are presented with utmost accuracy and clarity. Analyzes data related to departmental projects, identifying significant trends, patterns, and anomalies, and delivering actionable recommendations that drive data-informed decision-making. Conducts research on relevant topics and areas by investigating current trends, industry best practices and competitive landscape to provide comprehensive insights and support the strategic direction of ongoing projects and initiatives. Participates in team meetings, contributing ideas and input, while also capturing detailed minutes that accurately reflect discussions, decisions, and action items, ensuring effective communication and follow-up within the team. Contribute to other ad hoc projects, such as GC&R team projects or process improvements projects. You are a part of The Group Consolidation and Reporting (GC&R) team, wh

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, wiring Altana into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. You Will Design and deploy agentic AI systems Design, build, and deploy agentic AI workflows — multi-step agents, tool and function calling, and automations — that power the customer's business processes and act on real customer data Ground agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment Monitor, evaluate, and iterate on deployed processes — tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve Own technology implementation and delivery Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support Configure and deploy Altana's platform capabilities against real customer data and real customer

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The AI Deployment team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, deploying agentic AI into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. This role leads that team. You Will Lead and grow a team of AI Deployment Engineers Hire, coach, and grow a team of AI Deployment Engineers — set expectations, give direct feedback, and develop careers Own team capacity and staffing across a portfolio of customer implementations, matching engineers to accounts by skill, delivery risk, and development goals Establish the team’s operating rhythm — planning, reviews, and retrospectives that keep multiple implementations on track at once Build a culture of ownership, technical rigor, and adoption-focused delivery, where “done” means the customer is using it in their process, without us in the room Create the conditions for the team to move fast safely: shared playbooks, reusable tooling, and clear standards for deploying agentic systems in production Own the mission across your portfolio Own delivery outcomes across every account your team touches: agentic AI in production, adoption, and changing decisions on the customer's side Set and defend the roadmap across implementations — sequencing by customer value and delivery risk, and making explicit cal

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company t hat empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com . About the Role We are seeking a Strategic Account Manager to drive revenue retention and growth across Appier's strategic accounts in EMEA. This is a senior role on our Strategic Account team, responsible for the long-term growth of a portfolio of our highest-value clients. You will find and execute the highest-impact growth opportunities across your accounts, solve the complex performance and measurement problems that unlock them, and build the client relationships and internal coordination to do this repeatably rather than one account at a time. The role is about understanding what drives account growth and owning the outcome, not just managing day-to-day delivery. What You Will Do (Responsibilities) Revenue Retention & Growth: Own revenue outcomes across a portfolio of strategic accounts, and hit retention and expansion targets. Find and close growth opportunities such as budget increases, product adoption, and geographic expansion. Watch for early churn signals and act on them with reactivation, retention, or commercial plans. Client Ownership & Strategy: Build and own 12-month account growth plans covering relationship mapping, upsell and cross-sell strategy, testing roadmaps, and revenue targets. Act as a trusted advisor to clients at every level, up to executive leadership, through planning sessions and regular QBRs that focu

(FEQ427R727) The Role We are looking for a creative, execution-oriented Senior Solutions Architect to join the Benelux team to maximise the phenomenal market opportunity that exists for Databricks in the Life Science industry. You will bring experience as an architect on large, complex, multinational accounts, and your mission will be to drive the technical and consumption strategy for one of the world's most notable life science companies. This will be driven in partnership with regional account executives and the global account team. As a Senior Solutions Architect at Databricks, you will come with an informed and compelling point of view on the Data, Analytics and AI space, which will guide your technical strategy and, together with our teams and partners, allow you to provide exceptional value and build lasting trust with executives and technical champions at the account. The Impact You Will Have Drive the technical and consumption strategy for the organisation's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy. Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale, including GenAI and agentic AI workflows (Agent Bricks, AI Functions, LLMOps). Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team. Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms. Orchestrate cross-functional teams (Delivery & Specialist SAs, Partners, Product) to deliver enterprise-grade solutions. Coach and develop junior engineers/architects on technical depth, customer engagement, and use case prioritisation. Contribute to Field Engineering thought leadership through customer-facing co

Ready to Get Shit Done? At bunq, we're not just building a banking app, we are reshaping how people experience financial freedom globally. To sustain that mission while protecting our users and our business, we need an Internal Auditor focused on Regulatory Compliance to ensure we meet every regulatory requirement, manage compliance risks, and keep our operations audit-ready at all times. As an Internal Auditor - Regulatory Compliance, your mission is to safeguard bunq's regulatory standing by identifying and mitigating compliance gaps, ensuring adherence to evolving regulations across all markets we operate in, and building the audit infrastructure that keeps our business resilient. Take Ownership As an Internal Auditor - Regulatory Compliance, you will own: Conduct compliance audits across all business lines (AML, KYC, data protection, market conduct) and identify gaps with concrete remediation recommendations. Build and execute the audit roadmap, prioritizing high-risk regulatory domains and ensuring systematic coverage across our markets. Drive remediation tracking with business teams, ensuring findings are addressed and root causes fixed, not just symptoms. What You'll Work on Right Away Compliance Audit Program: Design and execute the first multi-domain compliance audit program, covering AML/KYC, data protection, market conduct, and operational risk, delivering findings and a forward remediation roadmap. High-Risk Compliance Assessment: Conduct a deep-dive audit into bunq's highest-risk regulatory areas (likely payment services directives, data governance, or market-specific regulations depending on your markets), identifying systemic gaps and building a remediation plan. Regulatory Change Impact Assessment: Analyze recently enacted or upcoming regulations across our markets and assess operational readiness, working with stakeholders to ensure bunq remains compliant before enforcement deadlines. Do You Have What It Takes? Regulatory audit expertise: Proven exp