Smart Contract Engineer/data Science Associate

Blockchain Engineering And Applied Data Science Role

We are seeking a highly skilled and technically driven individual with deep expertise in blockchain engineering and applied data science to join Fidelity Digital Asset Management. This role is ideal for a hands-on expert who thrives in architecting and deploying advanced blockchain solutions, smart contracts, and quantitative models that support Research, Trading, Risk, and Operations. You will serve as a senior technical authority, driving innovation and ensuring the robustness of our digital asset infrastructure.

Key Responsibilities

• Architect and oversee the development of blockchain-based systems and smart contracts across EVM, Solana, and Cosmos SDK platforms.
• Lead technical design and implementation of crypto infrastructure, including secure deployment pipelines, testing frameworks, and audit processes.
• Collaborate with quant researchers and data scientists to integrate blockchain data into predictive models, optimization engines, and trading algorithms.
• Conduct deep technical reviews and audits of smart contracts, ensuring security, scalability, and compliance with DeFi standards.
• Evaluate and implement emerging technologies, protocols, and tooling to enhance Fidelity's digital asset capabilities.
• Serve as a technical liaison across engineering, trading, and risk teams to ensure seamless integration of blockchain systems into core workflows

The Expertise and Skills You Bring

• 4+ years of hands-on experience in blockchain engineering, smart contract development, or crypto infrastructure, with a strong track record of technical delivery.
• Deep understanding of EVM/SVM architecture, token standards (ERC-20, ERC-721, SPL), and DeFi primitives.
• Proficiency in multiple programming languages including Python, Solidity, and JavaScript/TypeScript.
• Experience with smart contract frameworks and tools such as Hardhat, Truffle, OpenZeppelin, Mythril, and Ganache.
• Strong background in quantitative modeling, data science, or financial engineering, with experience applying models to trading or risk systems.
• Proven ability to lead complex technical projects and mentor senior engineers in a collaborative, high-performance environment.

The Team

Fidelity Digital Asset Management [FDAM] is building an investment platform offering digital asset products and services designed to meet the growing needs of Fidelity's retail customers and intermediary and institutional clients. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services. Project examples include integration of vendor infrastructure, constructing models or tools, building automation across technologies, and portfolio or business analytics. As a hands-on team lead you will be expected to understand the function needs to both meet the expected outcome and continue to drive innovation