EXPLORE PREMIER
OPPORTUNITIES

Data Science (Blockchain) Associate

Fidelity Digital Assets

Finance

51-200

New York, NY, USA

About the job

Overview:

The Role
We are seeking a Data Science Associate to join the Fidelity Digital Asset Management business and report directly to the VP, Data Science. This role will work in a small team of blockchain engineers and quant developers supporting the Research, Trading, Risk and Operations functions.
The Expertise and Skills You Bring

Minimum of 2 years of relevant professional experience in financial engineering, technology or quantitative investment functions with practical experience querying on-chain data and/or deploying smart contracts
Bachelor or Masters degree in a quantitative discipline (e.g. engineering or computer science)
Experience in working with various blockchain implementations including EVM, Cosmos SDK, or Solana and the associated codebase
Proficiency in more two or more of the following languages: Python, Javacript, Go, Solidity, Rust, DAML
Hand-on experience with tools/frameworks like OpenZepplin, Hardhat, Ganache, Mythril, Truffles and related testing libraries like Waffle and Chai
Proficiency in complex data extraction or processing using Python, SQL, Snowflake
Familiarity with advanced quantitative techniques and models to drive optimization, classification, inferences or forecasts
Ability to work as a member of a highly responsive teams handling engineering critical issues from the day-to-day rigors of an operationally critical analytic environment
Collaborative, creative and team-oriented approach to R&D, investing and technology. Ability to work across teams whose skill sets span blockchain infrastructure, smart contracts, trading, and risk management
Evidenced problem-solver across highly technical and quantitative projects within financial services

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.