The Product Manager will lead initiatives for Robo Trading tools and B2B partnerships, focusing on product strategy, stakeholder coordination, and market analysis in a fast-paced fintech environment.

The Product Manager for AI Platform will define strategy, implement AI solutions, ensure compliance, and collaborate with cross-functional teams.

As a Quant Portfolio Manager, manage ETF portfolios, conduct performance analyses, refine portfolio processes, and collaborate with teams to enhance analytics.

As a Junior Investment Manager, you'll enhance Scalable Wealth products, collaborating with experts, analyzing data for strategic improvements, and supporting asset allocation adjustments.

The role involves reviewing alerts, conducting investigations into suspicious activities, and ensuring compliance with AML regulations. Candidates should have practical experience in transaction monitoring and fluent German and English communication skills.

The Python Engineer will develop backend systems, manage cloud-based solutions, and maintain high-performance monitoring tools, focusing on financial applications.

As a Client Success Manager, you will handle customer inquiries, ensure satisfaction, and collaborate with multiple departments to provide solutions.

The Fullstack Software Engineer will work in an agile team to develop data integration solutions, bring data products to production, and ensure compliance with data regulations, using modern development practices and technologies.

The Client Success Manager will be the main contact for existing and potential clients in Spain and Italy, ensuring customer satisfaction and retention, handling inquiries, and collaborating across departments for solutions. Financial knowledge and strong customer service skills are essential.

As a Senior Data Engineer, you'll own the data stack, build data pipelines, and collaborate in a data-driven culture to support decision-making.

The Senior Data Engineer will develop scalable cloud-based data solutions, build data pipelines, ensure data quality, and collaborate within data and product teams.

Design and develop scalable microservices for various application teams while improving frameworks, ensuring security, and mentoring developers.

The role involves architecting microservices, developing application templates, driving technology migrations, and mentoring development teams within a DevOps culture.

Hiring two Product Managers for Wealth: one to build greenfield Robo Trading tools handling high-volume, low-latency trade execution; the other to own B2B partnership products, aligning external partners with internal roadmaps, translating technical requirements, and orchestrating cross-functional delivery. Both roles require end-to-end product ownership, stakeholder coordination, market analysis, and agile delivery.

Lead scalability and reliability initiatives across cloud-native microservices: design autoscaling, observability (Datadog, SLI/SLO), load testing, chaos experiments, developer tooling, and guide teams to improve performance, cost efficiency, and resilience.

Lead end-to-end development of local tax solutions for international clients: define strategy and roadmap, improve client experience, coordinate stakeholders and regulatory requirements, manage delivery and cross-team dependencies, and apply agile practices to ship compliant taxation features.

Internship focused on enhancing ML/LLMOps and AI agent infrastructure within AWS: evaluating LLM frameworks, building RAG pipelines, automating model evaluation/deployment, documenting findings, and contributing to ML/data pipelines.

Lead end-to-end product development of local tax solutions for international clients: define strategy and roadmap, improve client experience, coordinate stakeholders and regulatory compliance, manage delivery and timelines, and run agile ceremonies with engineering and cross-functional teams.

Support and improve ML/LLMOps and AI-agent infrastructure: evaluate LLM frameworks and APIs, build RAG pipelines, design agent evaluation systems, automate ML/data pipelines, and document findings.

Develop and automate systematic wealth management systems through Python, focusing on algorithm production, risk optimization, and seamless integration with internal services.