7852 English-speaking jobs in Amsterdam

Lead a team of 8 data scientists in developing and implementing advanced analytics solutions to predict conversion probabilities for a million households. Stay current on industry trends and technologies, mentor team members, and collaborate with stakeholders to turn strategy into value.

Develop and optimize lottery systems as part of a backend scrum team. Collaborate with other scrum teams and lottery departments. Discuss technical and operational aspects with solution architects.

Senior Marine Cargo Underwriter sought by a growing MGA. Requires 4-6+ years of experience, strong broker relationships in the EU, and proven business development success. Must have solid technical underwriting knowledge and fluency in English. German or other European language(s) advantageous.

Senior Frontend Engineer to architect, build, and deliver exceptional frontend experiences for a global SaaS platform. 5+ years of experience building high-quality SaaS products at scale required.

Lead a team of researchers in developing AI models, particularly foundational models for financial market data prediction. Drive research agenda, design experiments, and integrate results into a working product.

Senior Quantitative Researcher to develop and deploy statistical arbitrage strategies using ML methods. Experience in HFT companies and building non-trivial statistical arbitrage strategies is required.

Junior Deep Learning Researcher will conduct original research in AI, machine learning, and quantitative fields. Develop and experiment with deep learning architectures, analyze large datasets, and collaborate with developers to implement trading strategies.

Junior Quantitative Researcher will develop and improve trading algorithms, analyze high-frequency trading strategies, and collaborate with developers and researchers. Requires a degree in a quantitative discipline, strong mathematical skills, and experience in mathematical competitions. Proficiency in Python and some C++ experience is necessary.

Quantitative Researcher to develop and optimize profitable trading strategies using statistical models and machine learning. Requires a degree in a quantitative field and experience implementing machine learning algorithms.

This internship offers the opportunity to contribute to innovative projects focused on developing and improving HFT strategies using ML, DL, and RL techniques. You will work with experienced researchers and engineers applying cutting-edge ML methods to real-world financial data.

Deep Learning Researcher to conduct original research in AI, machine learning, and related fields. Develop deep learning architectures, analyze large datasets, and collaborate with research institutions. PhD in a quantitative discipline required.

Associate will work on M&A processes from start to close, collaborating with dealmakers, partners, and industry experts. Requires 3-4+ years of experience, a master's degree in finance or MBA, and strong analytical and project management skills.

DevOps Engineer to enhance live trading systems, research infrastructure, and alpha generation. Responsibilities include identifying errors and inefficiencies, designing solutions for systems, networking, and architecture. Requires Python proficiency, problem-solving skills, and a team-oriented mindset.

Experienced Back-End Engineer needed to develop and deploy back-end systems for a cutting-edge AI platform. Responsibilities include developing full-stack solutions, deploying AI models, and collaborating with a team to refine development practices. Requires 4+ years of back-end development experience, strong Python skills, and an agile mindset.

As a Senior Machine Learning Engineer, you will work with other MLEs to enable MLOps capabilities on a central ML platform. You will also work with cross-functional teams to ensure the stability, reliability, and security of the platform and models. You will educate yourself and others on technical capabilities and the latest innovations, mentor colleagues, and develop and productionize use cases with Data Scientists. You will apply MLOps principles, participate in the ideation and design of the ML platform, and create guidelines and mature processes for Data Science teams.

Designs and develops data warehouse solutions, collaborates with stakeholders, and implements work packages in various environments. Requires a Bachelor's degree, 3+ years of experience as a BI developer, and extensive knowledge of SQL Server 2016.

Senior Backend Java Developer will contribute to the DevOps team, focusing on continuous delivery, backend systems, automated testing, and front-end development. Expertise in Java 8 or higher, Spring Boot, RESTful APIs, testing frameworks, Azure Cloud Technologies, CI/CD tooling, and Agile methodologies is required.

Experienced IT Architect needed to design and execute cloud strategies, balance building in-house solutions with integrating off-the-shelf options, and improve the Software Development Lifecycle.

Java developer to join innovative team working on blockchain, microservices, and cloud-native technologies. Experience in professional agile Java development with Spring is required.

Develop and implement data pipelines and streaming integrations using Azure-based components. Responsibilities include designing, developing, and maintaining functionalities in the CRM area.