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Fidelity Digital Assets, NA

DeFi Quant Developer

Boston, MA, United States

$97,000 to $185,000 USD / year

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Job details

Pay: $97,000 to $185,000 USD / year
Experience: 3–5 years of experience in digital assets, DeFi, fintech, crypto-native organizations or research firms or a related field
Posting language: English
Posted: Oct 29, 2026

Original job description

Fidelity will not provide immigration sponsorship for this position.

Job Description:

The Role As a quant developer you will conduct deep research on protocols, primitives and on-chain strategies using advanced scientific modelling, machine learning and other quantitative methods through the design, development and implementation of core quantitative research infrastructure. In this role, you will bring and apply an engineering mindset and a practical skill set to implement research, test code and deliver sophisticated mini projects that will help us gain an edge in an increasingly competitive DeFi marketplace.

Research and Analysis of Financial Data

Conduct in-depth research on financial data and emerging DeFi infrastructure to identify exploitable patterns, trends, and yield-generating opportunities.
Utilize quantitative techniques, machine learning, and related data science methods to process large financial datasets.
Collaborate with other quant researchers and DeFi analysts to turn research findings into actionable insights.

Model Development and Maintenance

Design, implement, and maintain quantitative models for various use-cases.
Research, evaluate and explore risk management and optimization algorithms.
Develop software in Python (and other programming languages) that processes, analyzes, and predicts market behaviors.
Continuously re-train and backtest models based on market performance and new data.

Collaboration

Work closely with other quantitative researchers, technologists, and other stakeholders to integrate DeFi strategies into our broader research framework.
Participate in regular meetings, code sharing, and cross-functional collaboration to ensure alignment between research and our overall business objectives.

The Expertise and Skills You Bring Technical and Analytical

Existing knowledge of public Blockchains and DeFi protocols such as DEXs, lending, or derivatives platforms with a desire to become a subject matter expert
Strong Python programming skills and experience with libraries like Pandas, Numpy, and Scikit-Learn
Working knowledge of the principles of machine learning, classification models, time series regression and stochastic calculus
Understanding of relational database concepts and experience writing SQL queries
Working knowledge of Git

Communication and Collaboration

Strong written and verbal communication skills
Comfort working independently while collaborating across teams

Experience and Background

3–5 years of experience in digital assets, DeFi, fintech, crypto-native organizations or research firms or a related field
BSc / MSc / PhD degree in Mathematics, Physics, Computer Science, or another quantitative field

Nice to Have (Not Required)

Background or experience in algorithmic trading
Familiarity with programming in RUST

The Team Our team aids in building out Fidelity Digital Assets’ capabilities in decentralized finance (DeFi) and expanding technical blockchain and DeFi Ecosystem expertise. Our team influences new product development ideas and research through our efforts. Members of our team have a drive for innovation and range of backgrounds with a passion for digital assets, markets and financial services products.

A subsidiary of Fidelity Investments®, Fidelity Digital Assets® provides an institutional-grade digital asset experience that incorporates the history, principles, and expertise of a traditional financial institution. The business provides secure custody, integrated trading, and 24/7 support for institutional investors as well as retail crypto offerings made available through the Fidelity Investments® app and website. Established in 2018 and launched in 2019, Fidelity Digital Assets® develops products and solutions that scale with investors’ needs, allowing clients to navigate digital assets with confidence. Fidelity’s Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

The base salary range for this position is $97,000-185,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:

Category:

Data Analytics and Insights

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More about this job

Skills

Research
Scientific modelling
Machine learning
Risk management
Python
Programming languages
Collaboration
NumPy
Scikit-learn
SQL
Git
Communication skills
Work independently
Computer science
Securities
Data analysis

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