Key Skills

Job Description

Company Description Catena Group is an Amsterdam-based investment and venture-building company operating at the intersection of renewable energy, financial innovation and technology. It combines its activities spanning sustainable infrastructure, fintech and blockchain-based finance into the company Energyblocks. Front and center is the application of distributed ledger technology (DLT) and decentralised finance (DeFi) to its real-world assets. By combining investments in sustainable infrastructure with innovative financing structures and digital financial solutions, the aim is to bridge traditional finance and real-world assets to the emerging on-chain capital markets. Role Description At the heart of the company's platform, the Quantitative Risk Engineer will work on-site in Amsterdam, full-time, taking the technical lead on the institution-grade risk layer behind its tokenized renewable energy securities and DeFi products: the layer that makes stable onchain yield credible. You leads the core, drive the architecture, code quality and reliability of the risk system, including its embedded AI/ML components. You shape the risk logic, evolving exposure calculations, limit frameworks and model assumptions, with a real license to challenge what already exists. This extends into DeFi, designing the integration layer together with the DLT infrastructure team, defining what exposure, collateral and limits mean on-chain, and how smart contract, protocol risk and fragmented liquidity are measured alongside traditional risk. Ramping up on the risk engine, the role is a rare opportunity to take that system towards the benchmark for institution-grade risk layers in DeFi. Qualifications A career in the financial industry (bank, trading firm, treasury function or comparable) in a role directly tied to risk, trading or treasury systems. General fintech software experience without know-how of risk logic does not quite meet this bar. Fluency in risk: exposure, limits, model risk. Validate what a system does, not only implement it. First-hand experience of model validation, cyber security, audit or regulatory review. Strong engineering fundamentals: clean, tested, production-grade code, and the discipline to change a live risk system safely, including proficiency in python and front-end languages such as suelte. Comfort inheriting a system you did not build, and documenting developments as you go. A collaborative mindset: you develop the risk function in a team, raise hard calls early, make the people around you sharper and you are open to critical feedback. Comfortable with AI/ML components in production and experience with DeFi protocols, on-chain risk monitoring, smart contract risk, or digital asset custody and collateral are valuable.

Core Responsibilities

Lead the architecture, code quality, and reliability of the risk system supporting tokenized renewable energy securities and DeFi products, including its AI/ML components. Develop and validate risk logic, exposure calculations, limits, and model assumptions, and design the on-chain integration layer with the DLT infrastructure team.

Requirements

Candidates need financial-industry experience directly related to risk, trading, or treasury systems, along with fluency in exposure, limits, and model risk and experience validating systems. Strong production engineering skills, including Python and front-end languages such as Svelte, are required; experience with AI/ML in production and DeFi or digital-asset risk is valuable.