We are seeking a crypto-native on-chain researcher to join the research team. You will support our senior researchers with real-time monitoring and attribution, helping the team keep continuous coverage of market-moving on-chain activity.
Locations (4)
United States
United Kingdom
Singapore, Singapore
Hong Kong, Hong Kong
Responsibilities
Perform entity attribution, wallet clustering, and transaction graph analysis across account-based and UTXO-based blockchains.
Investigate unknown wallets and clusters, weighing the evidence and stating confidence honestly before conclusions are shared.
entre 45K€ et 50K€ bruts annuels, versés sur 13 mensualités selon profil et expérience + bonus
Responsibilities
Piloter des projets de mise en place de nouvelles solutions informatiques pour et avec nos clients.
Accompagner les équipes commerciales et opérationnelles dès les phases d'avant-vente afin d'analyser les besoins clients et proposer les solutions les plus adaptées.
Déployer des solutions construites autour d'un WMS, intégrant selon les besoins des flux EDI, des portails extranet, des applications TMS et des solutions digitales sur smartphones.
Formaliser les spécifications fonctionnelles et techniques des solutions retenues.
Coordonner les différents sous-projets avec les équipes de la DSI, les éditeurs de logiciels et les différentes parties prenantes.
Investment Engineering is responsible for ownership of investment data and analysis tools, managing data from acquisition through distribution, driving analysis to create insights, and creating analysis consumed by internal and external clients and reports.
Responsibilities
Architect, write code for, and optimize internal data platforms and self-service applications, ensuring secure, high-performance user access to data.
Independently design and build robust automated data pipelines, semantic layers, and scalable data models that cleanly translate complex investment workflows into production-grade infrastructure.
Set the technical benchmark by writing clean, testable code, conducting rigorous code reviews, and resolving complex debugging issues.
Act as the technical translator and product owner, partnering with departments like Portfolio Management and the Global Client Group to gather raw requirements and directly engineer technical solutions.
Own the end-to-end technical product lifecycle, managing both product feature roadmaps and hands-on system enhancements to guarantee uptime, data reliability, and continuous deployment (CI/CD).
The Forward Deployed Engineer (Agentic AI) embeds with enterprise clients to design, build and operationalize agentic AI solutions in production, integrating agentic systems with enterprise platforms and systems of record.
Responsibilities
Lead technical discovery, scope agentic AI use cases, and translate business problems into engineering deliverables
Design target architectures that fit the client's environment, regulatory posture and platform preferences
Write production-grade code to deliver the solution
Build and tune retrieval pipelines, prompt architecture, guardrails, agent orchestration and human-in-the-loop controls
Implement enterprise-safe agent tool execution, including permission scoping, approval gates, audit trails and rollback paths
Requirements
Bachelor’s degree in computer science, engineering, information systems or related field, or equivalent practical experience
Oversees multi-project portfolios for AI training data programs
Leads delivery and scale: capacity planning, vendor management, and process automation
Ensures quality is consistent across projects, drives performance improvements, and plans work jointly with the Sr. Quality Analyst
Oversees a portfolio of programs that deliver and scale Generative AI data operations, including capacity planning, vendor management, and process automation
Plan and run a group of projects (collection, labeling, evaluation) end-to-end; set priorities, milestones, and handoffs across time zones
Requirements
Bachelor’s degree or equivalent experience in business, operations, data/engineering, or similar
Nice to have: Near-native English with strong writing and editorial skills
Nice to have: Hands-on experience with generative AI tools (text, voice, or video)
Nice to have: Background in QA testing, rubric design, or AI safety/ethics evaluation
Nice to have: Familiarity with data-annotation platforms and model-evaluation tools
As our Process & Analytics Engineer, you'll connect processes, data and technology across Packing & Packaging, helping us simplify how we work and make better use of operational data.
Responsibilities
Document Packing & Packaging processes in SAP Signavio at a level that supports consistent global standards as the role of process modeller
Turn operational data into insights that help teams identify productivity opportunities and improvement priorities
Connect processes, data and technology to explore smarter, more automated ways of working
Contribute to the packing performance programme where we build central data management for Packing & Packaging
Help develop a clearer end-to-end view of processes, trends and opportunities for improvement
Middle Office Associate / 數據中台專員NewFuku · Taipei, Taiwan