Data Scientist

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of April 2025, Gauntlet manages risk and incentives covering over $42 billion in customer TVL.

Gauntlet continually publishes cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institution — including academic institutions — in terms of peer-reviewed papers addressing DeFi as a subject. We’re a Series B company with around 75 employees, operating remote-first with a home base in New York City.

In order to grow our impact in the DeFi space we are looking to hire experienced Data Scientists to help new and established protocols better understand the systems they’ve built. This role will require establishing a strong ability to analyze and interpret data; as well as the ability to collaborate with and manage external clients. You will be working directly with the premier and innovative DeFi protocols and developing expert-level knowledge and experience of the mechanisms that underpin the DeFi industry.

• Perform in depth novel research into how to make premier DeFi protocols safer and more efficient through mechanism design, data analysis, and dynamic parameter optimization.
• Take ownership of client engagements, scoping out work, managing client relationships, and delivering value to clients through your research and work.
• Draft and write engaging research for public consumption both to grow Gauntlet’s Brand as well as to satisfy client requirements
• Build and deploy easy-to-understand and visually compelling dashboards for internal and external consumption

• 4+ years of professional experience
• Extremely clear and effective communication and client management skills
• Proven track record of drawing deep insights from complex datasets
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
• Ability to work independently working towards abstract goals
• Experience working with pricing models, financial products and/or different asset classes

• Experience working in the crypto industry is a big plus.
• Enthusiasm for the space, especially DeFi, is very much desired
• Experience with derivatives style products
• Experience managing external client relationships
• Published or presented research in the space

• Remote first - work from anywhere in the US & CAN!
• Competitive packages with the added opportunity for incentive-based compensation
• Regular in-person company retreats and cross-country "office visit" perk
• 100% paid medical, dental and vision premiums for employees
• Laptop provided
• $1,500 WFH stipend upon joining
• $100 per month reimbursement for fitness-related expenses
• Monthly reimbursement for home internet, phone, and cellular data
• Unlimited vacation policy
• 100% paid parental leave of 12 weeks
• Fertility benefits

Please note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application.

The national pay range for this role is $150,000 - $205,000 base plus additional On Target Earnings potential by level and equity in the company. Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.  

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