Data Scientist - Gauntlet

deCircle

New York (NY)

Remote

USD 110,000 - 150,000

Full time

14 days+

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Job summary

A leading DeFi firm in New York City is looking for an experienced Data Scientist to enhance understanding of DeFi protocols. This role demands in-depth research, effective client management, and advanced data analysis skills. Ideal candidates have over 4 years of experience and a strong background in data querying languages. The position offers a remote-first work environment with a focus on innovation in decentralized finance.

Qualifications

  • 4+ years of professional experience in data science or a related field.
  • Proven track record of drawing deep insights from complex datasets.
  • Ability to work independently towards abstract goals.

Responsibilities

  • Perform in-depth novel research into DeFi protocols.
  • Manage client relationships and deliver value through research.
  • Draft engaging research for public consumption.
  • Build compelling dashboards for clients.

Skills

Data analysis
Effective communication
Client management
Data querying languages (e.g. SQL)
Scripting languages (e.g. Python)
Statistical/mathematical software (e.g. R)

Job description

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 — 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.

Responsabilities
  • 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/mhematical software (e.g. R)

  • Ability to work independently working towards abstract goals

  • Experience working with pricing models, financial products and/or different asset classes

Bonus points
  • 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

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