Quantitative Crypto Analyst

Job Description

The Group

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 Investment Implementation team is a collaborative group proficient in off-chain and on-chain market structure, trading, liquidity venues, reconciliation and risk management.

The team will work closely with Research, Investment Operations, Data Science and Risk across topics such as portfolio construction, rebalancing, collateral management, technology infrastructure and automating processes.

The Role

We are seeking a Quantitative Crypto Analyst to join the Fidelity Digital Asset Management business and report directly to the Head of Research.

This team of multi-disciplinary research analysts will be focused on developing frameworks for the evaluation of tokens, and the associated blockchain and protocols, that form the basis of the rapidly evolving blockchain economy.

The Analyst will initially be focused on building ML models, factor models, and portfolio construction.

One of the primary objectives of this team is to bring the rigor and discipline found in the best investment research teams in traditional asset management to the world of digital assets.

Members of this team must have a track record of conducting high quality hands-on investment-oriented research coupled with a demonstrated knowledge of crypto and ability to apply critical thinking to evaluating utility of blockchain networks and associated protocols.

The Research team’s output will enable the development of passive and active investment products that allow Fidelity’s customers to gain exposure to growth in this exciting new asset class.

The Value You Deliver

The Quantitative Crypto Analyst will have three main deliverables :

Data organization : Partnering with quant researchers, data scientists and technologists on identifying, collecting and organizing the data necessary to conduct the research that enables developing investment management products.

Decision tools and models : Creating quantitative tools for assessing trading and liquidity profiles of the various cryptocurrencies and tokens to inform market positioning and risk.

Strategy development : Using data organization above, developing systematic approaches to portfolio construction, risk management and trading.

Education and Experience

2+ years of relevant experience working with on-chain data

Strong background in quantitative research, including programming, time series modeling, optimizations, and machine learning

Familiarity with crypto data vendors, data sources and fundamental data

Experience with portfolio construction for an asset manager a plus

Advanced degree in Engineering, Statistics, Applied Mathematics, Physics, Computer Science, or a closely related field is encouraged

The Skills You Bring

Strong hands-on research capabilities and an ability to communicate research to a broad audience

Ability to engage with multiple investment and technology teams to establish a collaborative and interdisciplinary approach to crypto and token research

Familiarity with modern technology and programming platforms. E.g., Python, SQL and cloud-oriented data technology (AWS, Azure, S3, Snowflake)

Certifications :