Software Engineer

WisdomTree is a leading provider of exchange-traded funds (ETFs) and exchange-traded products (ETPs), offering innovative investment solutions to investors across Europe. Our Investment Research team works across markets, portfolio construction, quantitative research, product development and client-facing market intelligence.

We are looking for a hands-on Software Engineer to join our IT team, dedicated to the Investment Management function, supporting our new generation of research technology that combines investment expertise, data, modern software engineering and AI.

We are looking for someone who is exceptionally productive with modern AI coding tools, but who also has the software engineering fundamentals to understand, maintain and improve the systems those tools help create. A major initial responsibility will be taking ownership of CUBE, WisdomTree's internal platform for Investment Management, that includes Risk Management and Valuation management. CUBE allows portfolio managers and to efficiently manage their portfolios. The platform has grown quickly, which is a good problem to have. Your job will be to take what works, keep the speed and experimentation that made it successful, and progressively make the underlying platform simpler, more robust and easier for other developers to understand and operate.

You should be equally comfortable using an AI coding agent to build an application in an afternoon and opening the resulting codebase to work out how it actually works.

Key Accountabilities and Scope

• Own and evolve the CUBE platform, becoming the primary developer responsible for its architecture, codebase, developer experience, reliability and ongoing operation.
• Work directly with portfolio managers and senior investment professionals to turn loosely defined ideas into useful applications quickly.
• Use modern AI coding tools and agents extensively to prototype, build, debug and refactor software.
• Integrate the CUBE environment in the wider Wisdom tree platform.
• Take AI-generated or rapidly prototyped applications and apply sound engineering judgment so they remain understandable, maintainable and supportable.
• Simplify CUBE development environment and container architecture, particularly the local developer experience, removing unnecessary complexity where possible.
• Improve development and deployment workflows including containers, CI/CD, environment management, logging, monitoring, authentication and configuration.
• Build full-stack research applications using Python and modern web technologies.
• Develop applications that combine LLMs with structured financial data, market data, proprietary research, documents and internal knowledge.
• Build agentic workflows, research assistants, analytical tools, dashboards and workflow automations.
• Integrate applications with WisdomTree's data and technology platforms, including Databricks, databases, APIs, identity systems and cloud infrastructure.
• Debug unfamiliar systems pragmatically. You should be comfortable tracing a problem across application code, containers, APIs, authentication, networking and cloud infrastructure rather than assuming somebody else owns the next layer.
• Establish sensible engineering standards without introducing heavyweight processes that slow down experimentation.
• Document important architectural decisions, dependencies and operational procedures so that knowledge does not live with one developer.

Skills and Qualifications

Required Skills and Experience

• Strong software engineering fundamentals and substantial hands-on development experience.
• Strong Python skills and experience building real applications rather than only notebooks or analytical scripts.
• Experience with modern web development. React, TypeScript or JavaScript experience is strongly preferred.
• Significant experience using AI coding agents and copilots as part of your normal development workflow.
• Experience building applications using LLMs, agents, tool calling, retrieval or related AI application patterns.
• Strong practical knowledge of APIs, Git, containers and Docker.
• Experience with cloud-hosted applications and CI/CD. Azure experience is useful but not essential.
• A working understanding of authentication, application security, secrets, networking, logging and observability.
• The ability to read an unfamiliar or imperfect codebase, understand why it works and improve it without feeling compelled to rewrite everything.
• Good architectural judgment, particularly the instinct to simplify systems rather than add unnecessary abstraction.
• The ability to work independently with ambiguous requirements and a strong bias toward shipping something useful.
• Strong communication skills and the ability to work directly with investment professionals who may know exactly what they want to achieve but not how the software should be constructed.
• An interest in financial markets and investing is important. Deep financial expertise is not required on day one, but curiosity and the ability to learn quickly are.

Desired Skills and Experience

• A bachelor's or master's degree in Computer Science, Mathematics, Engineering, Physics, Statistics, Finance or another quantitative discipline.
• Databricks, Spark or modern cloud data platforms.
• SQL and large financial or analytical datasets.
• Docker Compose, development containers or improving complex local development environments.
• Azure App Services or similar managed application platforms.
• LLM evaluation, retrieval-augmented generation and agent frameworks.
• Building internal developer platforms or self-service application environments.
• Quantitative finance, investment research, portfolio analytics, ETFs or financial markets.
• Taking an experimental or founder-built codebase and maturing it without destroying the qualities that made it useful.