Data Intelligence Systems Engineer 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 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

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

(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

At bunq, we're not just building a banking app; we're reshaping how people around the world experience financial freedom. As a (Senior) iOS Developer, you’ll be instrumental in crafting and maintaining cutting-edge mobile applications that elevate our users' banking journeys. Collaborate with our dynamic team to deliver a seamless, innovative, and user-friendly experience on the iOS platform. Take Ownership Develop and maintain scalable iOS architecture, ensuring efficiency and a seamless user experience using Swift and iOS SDK. Integrate and optimize REST APIs, managing authentication, error handling, and data flow for smooth performance. Enhance CI/CD and testing automation, maintaining fast release cycles and ensuring robust app quality. Develop new features and fix bugs proactively, keeping performance sharp and delivering a seamless experience for our user. Proficiency in Swift, Objective-C, and SwiftUI to build intuitive, high-performance interfaces. Experience in designing scalable and secure network layers using REST APIs & authentication. Familiarity with CI/CD pipelines and automated testing for implementing continuous testing strategies. Expertise in state management and UI frameworks to create fluid, responsive applications using UIKit or SwiftUI. Fluency in English to effectively communicate in a global team and ensure collaboration and clarity across all project stages. All new hires are subject to Pre-employment Screening (PES), which includes checks conducted by our third-party partner, Zinc. This is part of our commitment to a secure and trustworthy workplace Curious to see how we make life easy? - try the bunq app , it only takes 5 minutes to sign up. Your space to perform We give you the space and the tools you need to succeed 💪🏼 🤟 Great, international colleagues who share your mindset 👩‍💻 Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly. 🧳 Digital Nomad Program: After your first year, enjoy up to 20 days p

As a Chargebacks Expert, you will play a key role in protecting our users by ensuring Mastercard / Adyen disputes are handled accurately, fairly, and in line with Mastercard and PSD2 requirements. Taking end-to-end ownership of the chargeback process, you will leverage your expertise, together with AI, automation, and data-driven insights, to continuously strengthen our operations, scale our impact, and deliver a transparent, high-quality experience that gives users confidence every step of the way. Pro tip 💡: we love giving people a shot to grow into a role, but for this position Chargeback expertise is required. Take Ownership Maintain a single, central operational playbook and decision framework that defines the full end-to-end chargeback process from submission to closure. Define and track clear operational performance metrics to drive regular performance reviews and continuous improvement. Leverage AI and automation to streamline submission flows, support decision-making during investigations, and keep users proactively updated on their case status. Conduct regular gap analyses to identify structural inefficiencies and quality gaps, translating insights into actionable corrective action plans. Optimize the user-facing chargeback flow and communication templates to minimize friction and ensure clear, empathetic, and consistent support. Ensure full compliance with global payment regulations and card scheme rules, continuously updating guidelines to mitigate regulatory risks. You have an AI-first mindset: You love turning manual processes into scalable AI solutions, constantly seeking ways to automate operations and scale impact. You have deep Chargeback understanding: You possess strong expertise in chargebacks, cards operations, merchant disputes. You are a relentless problem solver: You hunt for the root cause of operational issues using data instead of opinions, ensuring permanent and systemic fixes. You possess a Get Shit Done mentality: You thrive on hands-

About BlockTech BlockTech is a fast-paced algorithmic trading firm trading crypto derivatives and spot across global venues, 24/7, with our own capital. Crypto is one of the few markets where a researcher can still move the edge. The data is abundant, the microstructure is novel, and the loop between an idea and live PnL is short. High-frequency options trading is where we're strongest, and we're widening our scope to include more mid-frequency work. We're looking for a senior Quantitative Researcher with a mid-frequency background to join our Amsterdam trading floor. The role You'll be in charge of developing our mid-frequency capabilities, owning the research agenda end to end, from hypothesis and dataset construction through model training and backtesting to live deployment. You'll sit with traders, researchers, and analysts, and raise the bar for research across the floor. 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 3+ years of quantitative research experience at a hedge fund, trading firm, or similar, with mid-frequency models you've taken live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, or computer science) Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep grasp of overfitting, validation design, and feature engineering. You can explain why a model works, not just that it does Software engineering instincts: you write product

Req ID: FEQ327R410 The Role As a Solutions Architect in the Benelux Strategic Accounts team, you will play a lead role in driving the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialisation (archetype) and are recognised within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy with customer accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialisation (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (Delivery, Specialist & Partner Solution Architects) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales and/or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapi

Req ID: FEQ427R70 The Role As a Senior Solutions Engineer in the Benelux Geo team, you will lead technical engagements for high-growth potential customers, owning discovery, solution design, and platform demonstrations. We are looking for a talented engineer/architect who is excited to expand strategic partnerships and grow Databricks footprint with these customers! You are a builder who can code, architect, and present, combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage. The Impact You Will Have Independently lead technical discovery and solution design for customer workloads spanning Data Engineering, Analytics, Machine Learning, and GenAI Engineering Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins Own frontline technical relationships with customer engineers, data teams, and technical leads Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community What We Look For Industry experience in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role (preference for 3+ years minimum) Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live/vibe coding is a required interview stage Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversatio

About BlockTech BlockTech is a fast-paced algorithmic market maker at the frontier of cryptocurrency derivatives and spot markets, expanding into new markets. We employ algorithms to trade our own capital, 24/7, across some of the most data-rich venues in finance. For the Summer of 2027, we're looking for a Quantitative Research Intern to join our option pricing team in Amsterdam. The role This is an 8-10 week summer internship at our Amsterdam office, giving you a unique opportunity to work on an end-to-end project with a real and direct business impact. You’ll work in a small team and get the chance to understand how a trading firm actually works from the inside. You will: Participate in a customized training program that will give you an understanding of financial markets in general, the company and the project. Own a research project from design to deployment guided by experienced Quantitative Researchers. Understand how technology and research enable our trading, market data, and infrastructure systems Collaborate with fellow researchers and software engineers to bring your project to success Learn from the best, all while leveraging cutting-edge technology What we're looking for Currently in your (pen)ultimate year and enrolled in, or planning to pursue, at least a Master’s degree in a quantitative field at a top European university. Available full-time in Amsterdam, for a duration of 8 - 10 weeks over the summer of 2027, starting on the 5th of July Working knowledge of Python A critical mind that follows things until completion, high ownership, and clear communication in English What's in it for you? A summer internship in a relaxed and modern office in Amsterdam A dedicated mentor, a team of fellow interns and full-time quantitative researchers, an in-house training program, and exposure to how engineering, research, and trading actually work together The opportunity to work at the forefront of automated trading, in an environment that embraces AI to both ac