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Gauntlet is a leader in quantitative research and DeFi economics optimization, specializing in risk management, growth facilitation, and ensuring the economic robustness of key DeFi protocols. Managing over $35 billion in customer TVL as of January 2025, our efforts are vital to the industry’s leading protocols.
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.
Our mission is to drive adoption and understanding in the financial systems of the future. The unique challenges of decentralized systems call for innovative approaches in mechanism design, smart contract development, and financial product utilization. Gauntlet leads in advancing this knowledge, ensuring safe progression through the evolving landscape of financial innovation.
We seek a research manager to lead client-facing research under the Applied Research organization. This role is pivotal in providing deep quantitative expertise to top DeFi protocols and ecosystems including Uniswap, Near and Movement on how they can grow, optimize, and de-risk mechanisms within their various system. This person will lead a team of researchers to analyze on-chain and off-chain data, develop models, and provide actionable insights into the rapidly evolving crypto and Web3 ecosystem.
This role requires deep expertise in blockchain analytics, quantitative research, statistical modeling, and strong leadership skills to drive data-driven decision-making and the ability to interface directly with clients.
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 $180,000 - $220,000 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.
Paxos is looking to hire a Data Engineer to join their team. This is a full-time position that can be done remotely anywhere in the United States.
Paxos - A regulated blockchain infrastructure company building transparent and transformative financial solutions.
US.
Gauntlet is a leader in Our mission is to drive adoption We seek a research manager to lead client-facing research under the Applied Research organization. This role is pivotal in providing deep quantitative expertise to top DeFi protocols and ecosystems including Uniswap, Near and Movement on how they can grow, optimize, and de-risk mechanisms within their various system. This person will lead a team of researchers to analyze on-chain and off-chain data, develop models, and provide actionable insights into the rapidly evolving crypto and Web3 ecosystem. This role requires deep expertise in blockchain analytics, quantitative research, statistical modeling, and strong.
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 $180,000 - $220,000 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.