Research Manager in Amsterdam

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

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 using state-of-the-art ML 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

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

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 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

Become an intern at the most recognised design agency in the world. Gain inspiring experience, work with and be mentored by extraordinary creative talent, start your journey with an idea… Terms: Design students, with a valid EU passport, can apply within their time of studying for a qualification or degree. Placements are available through the year and for a minimum of 3 months. Successful applicants will be interviewed and potentially placed. What you’ll do: Work alongside experienced designers with a dedicated mentor Work on branding and packaging projects Develop and expand design concepts, including research into brand worlds and design processes Gain experience from all stages of the design process, from concepts to artwork Send us your portfolio and a short introduction letter. Selected students will be invited for an interview and possible placement. #LI-DNI #LI-DNP

As a Cards Experience Guide, you'll be the person who gives our users peace of mind every time they pay with their bunq card. Whether they need a refund, have a question about a transaction or want to dispute a charge, you'll make sure they get a fast, fair outcome they can count on. 👉 You'll review and issue chargebacks and refunds, handling every case with accuracy and care. Just as important, you'll keep our users informed from start to finish: what's happening, what comes next and if they need to do anything. That way they always feel confident and in control. Up for this? Kick off your application by taking our assessment and find out if bunq is your perfect match! 🍭 Take ownership As our Cards Experience Guide, you'll make the decision on tricky disputes such as incorrect deliveries, ATM issues and partial merchant refunds. Every decision has a real financial impact for our users and for bunq. Resolve chargebacks end-to-end: Investigate each case using transaction data, account history and merchant evidence. Reach a correct, well-reasoned decision within card scheme deadlines. Keep users informed: Send clear, honest and caring updates throughout their case. When we can't approve a dispute, explain why in plain language so they understand it the first time. Work smarter with AI: Use AI tools to research cases, spot patterns in disputes and feedback, and share insights that help the team fix root causes. You know how to investigate a case from every angle and use data and evidence to reach a fair, well-reasoned decision. You have a sharp eye for detail. You follow process steps carefully, pick the right reason code, and flag unclear cases instead of guessing. You can explain complex or disappointing outcomes in clear, warm and accurate writing. You use AI tools in your daily work, for example to summarize feedback data and suggest root causes rather than doing it by hand. You can see things from user’s point of view and care about giving them a fast, transpare

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

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. We’re looking for a Product Designer for our Customs & Trade Services team. In this role, you’ll design the tools that enable users to navigate customs, compliance, and ever-changing regulations across global shipments. You’ll drive design decisions, simplify highly complex customs processes, and help shape how technology transforms an industry undergoing significant modernisation. Your work will set a high standard for design quality, support global trade compliance, and influence the direction of products with broad impact for both customers and internal teams. You Will: Apply a systems-thinking mindset to design decisions, proactively addressing edge cases to deliver robust, high-impact solutions. Conduct user research and gather insights. Leverage AI and emerging technologies to drive efficiency and elevate design outcomes. Collaborate across functions to define and execute the design vision and strategy in a complex, rapidly evolving environment. Give and solicit feedback from other designers to continually raise our bar for quality. Build prototypes to share and test concepts. Translate deep user research into actionable requirements that champion u

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. As the Head of Customer Insights, Europe , you will be responsible for elevating both Adyen’s voice and the voice of our merchants across the payments ecosystem. This role sits at the intersection of deep customer research, industry influence, and executive thought leadership, ensuring that Adyen is not only delivering exceptional experiences but also shaping the future of commerce alongside its customers. You will lead critical insight initiatives, including European Customer Advisory Boards, executive engagement programs, and merchant research communities. By translating customer feedback into market strategy and amplifying merchant perspectives externally, you will help position Adyen as a trusted strategic partner and industry leader. A key focus of this role is converting Adyen’s deep expertise into compelling market narratives, actionable insights, and influential industry participation. You will leverage Adyen’s global merchant base and scale to proactively debate and influence partners, industry bodies, and regulatory stakeholders, ensuring both Adyen and its customers shape the European payment landscape. What You’ll Do 1. Thought Leadership & Brand Amplification Develop and publish high-impact thought leadership content that showcases Adyen’s domain expertise and merchant success. Lead executive conference speak

About BlockTech BlockTech is a fast-paced algorithmic market maker facilitating global derivatives and spot trading, originating from crypto markets and expanding into new markets. We trade our own capital on systems that run 24/7 and have to be fast and correct without exception. Our systems run on Linux and are written in Rust and Python. For the Summer of 2027, we're looking for Software Engineer Interns to join our engineering 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 project from design to deployment guided by experienced software engineers. Work with production-level data and systems Learn from the best, all while leveraging cutting-edge technology What we're looking for Currently in your (pen)ultimate year studying computer science or a related discipline at a top university in Europe Available full-time in Amsterdam, for a duration of 8 - 10 weeks over the summer of 2027, starting with 5th of July Proficiency in a systems language (ideally Rust and/orC++) and working knowledge of Python A solid grasp of data structures, algorithms, and what actually makes code fast 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 software engineers, 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 using state-of-the-art technology, in an envi

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. The Role As Principal, Business Development for Healthcare & Life Sciences in EMEA, you will be a strategic partner to regional Sales and Sales Engineering leadership. You will help define where and how Everpure wins in European healthcare and life sciences, then translate that strategy into field execution, organizational capability, customer engagement, partner motions, pipeline, and bookings. You will lead the development of a multi-year EMEA HLS growth strategy across providers, payers, and life sciences. This includes identifying the most important market opportunities, shaping vertical and horizontal plays, and aligning Sales, SE, Marketing, Alliances, Product, and executive leadership around measurable outcomes. This is a builder and operator role. You will personally advance the highest-priority customer and partner opportunities while also strengthening the people, coverage, operating rhythms, enablement, and ecosystem required to scale HLS growth beyond individual deals. You will connect critical healthcare and life sciences priorities—including AI adoption, data modernization, clinical and research workloads, cyber resilience, cloud, and sovereign infrastructure—to differentiated business outcomes for customers. You will build executive credibility with customers and partners and help Everpure become the data platform of choice for European healthcare and life sciences. What You’ll Do Shape and execute the E

SLSQ427R332 Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. As an Enterprise Account Executive at Databricks, you come with relevant experience selling to Enterprise accounts. As a successful candidate you are a self-starter who understands the consumption sales process. You know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. You will be offered huge potential for career progression with the pace of the team's growth. You will report to the Sales Director for Enterprise Sales Benelux. The impact you will have: Assess your territory and develop a successful execution strategy Drive quarter-on-quarter consumption growth in existing accounts Exceed activity and quarterly revenue targets Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce Identify new use case opportunities and showcase value to existing customers Promote the value of the Databricks' Data Intelligence Platform Ensure 100% satisfaction among all customers What we look for: Good understanding of the data platform and cloud ecosystems Some exposure to the software industry and understanding of selling SaaS, Data and Business Value Experience growing consumption and closing commit deals in a direct sales role Competent with prospecting research and ability to map out key stakeholders Advanced understanding of MEDDPICC Experience exceeding sales targets/quotas Bachelor's Degree or relevant work experience Fluency in English is require