Gauntlet

Transform mathematical models into production code that powers live trading strategies and build and optimize vault strategies across multiple asset types. Conduct comprehensive risk assessments and design controlled experiments to measure strategy performance. | Candidates should be pursuing a Bachelor's or Master's degree in a quantitative field with strong programming abilities in Python and knowledge of statistical methods. Understanding of financial risk concepts and strong communication skills are also required. | 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 $1.5B in vault TVL, and optimizes risk and incentives covering over $42 billion in customer TVL. We continually publish cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institutions — including academic institutions — in terms of peer-reviewed papers addressing DeFi as a subject. We’re a Series B company with 75 employees, operating remote-first with a home base in New York City. As a company, we build institutional-grade vaults that deliver risk-adjusted DeFi yields at scale, powered by automated risk models and off-chain intelligence. Gauntlet curates strategies across Morpho, Drift, Symbiotic, Aera and more, with >$1B in vault TVL and a growing suite of Prime, Core and Frontier vaults. Our mission is to drive adoption and understanding of the financial systems of the future. We operate with a trader’s discipline and a risk manager’s skepticism: size carefully, stress routinely, unwind decisively. The label equals the package equals the contents. No surprises, just predictable, reliable vaults. About the Emerging Talent Program The Gauntlet Emerging Talent Program is designed for new graduates who are eager to apply their quantitative and technical skills to the most pressing challenges in decentralized finance. Upon joining the Gauntlet team, you’ll gain: Hands-on experience solving high-impact problems in DeFi risk, optimization, and protocol design Mentorship and training from leading researchers and engineers in crypto and quantitative finance Exposure to real-world systems securing billions of dollars across the industry A clear growth path into roles in quantitative research, engineering, and data science. \n Responsibilities Transform mathematical models into production code that powers live trading strategies Build and optimize vault strategies across multiple asset types (stablecoins, ETH/BTC, restaking tokens, real-world assets) Conduct comprehensive risk assessment using statistical methods to evaluate liquidity risk, token depeg scenarios, insolvency risk, and interest rate exposure Design and run controlled experiments to measure strategy performance, including profit/loss analysis, maximum drawdowns, and stress testing Build data pipelines for strategy simulation, real-time monitoring, and automated trade execution Create monitoring systems with dashboards and alerts to track market changes, protocol updates, and smart contract events Develop allocation recommendations with appropriate risk guardrails and rebalancing triggers Write clear research documentation explaining strategy assumptions, trade-offs, and risk management approaches Collaborate on public research and internal strategy memos Qualifications Currently pursuing Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Electrical Engineering, or related quantitative field with expected 2026 graduation date Strong programming abilities in Python (experience with SQL, TypeScript, or Rust is a plus) with solid foundation in algorithms and data structures Statistical and mathematical knowledge including probability, statistics, optimization, and time-series analysis Understanding of financial risk concepts such as Value-at-Risk (VaR), Conditional Value-at-Risk (CVaR), portfolio optimization, leverage mechanics, and automated market maker (AMM) mathematics Strong communication skills and ability to collaborate effectively in code reviews and strategy discussions Bonus Points Academic or personal projects involving numerical methods, risk modeling, or quantitative strategy research Participation in hackathons or contributions to open-source projects Familiarity with decentralized finance protocols including lending platforms, decentralized exchanges (DEXs), automated market makers (AMMs), and perpetual futures Understanding of vault management, yield farming strategies, or cross-chain execution Experience with real-world asset (RWA) tokenization or liquid staking/restaking protocols Why Join Gauntlet? Work on live strategies that manage institutional capital with real market impact Contribute to transparent, publicly visible vault strategies Learn from experienced engineers and quantitative researchers who deploy models in production Gain hands-on experience bridging academic theory with practical trading systems Clear career progression path toward senior engineering or quantitative research roles Work alongside a team managing high-visibility public vaults Receive mentorship from professionals with proven track records in quantitative finance and DeFi Benefits and Perks Remote first - work from anywhere in the US & CAN! Regular in-person company retreats and cross-country "office visit" perk 100% paid medical, dental and vision premiums for employees $1,000 WFH stipend Monthly reimbursement for home internet, phone, and cellular data Unlimited vacation 100% paid parental leave of 12 weeks Fertility benefits Opportunity for incentive compensation \n 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 $120,000 - $150,000 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. #LI-Remote

The DeFi Analyst will drive market research and strategic partnerships while executing risk assessments and due diligence on protocols. They will also develop growth and incentive analytics to support vault deployments and operational excellence. | Candidates should have 1-3 years of experience in crypto-native research or strategy, with a strong interest in DeFi. Proficiency in reading Solidity/Vyper and fluency with on-chain data tools is required. | 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. 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 institutions — 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. \n Responsibilities Drive Market Research & Strategic Partnerships: Track emerging yield strategies, protocol developments, and ecosystem incentives across chains to provide the Curation team with a competitive edge in vault deployment and optimization. Actively monitor DAO governance proposals, forum discussions, and protocol roadmaps to inform risk assessments, vault growth strategies, and partnership opportunities. Identify and evaluate live or upcoming liquidity mining, ve-token, and fee-rebate programs. Support business development by analyzing incentive structures, stakeholder alignment, and contributing to deal execution through opportunity qualification and proposal development. Execute Risk Assessment & Due Diligence: Conduct structured protocol reviews focused on solvency, oracle infrastructure, governance mechanisms, and security posture. Perform in-depth risk assessments by analyzing historical on-chain data, protocol codebase, and market dynamics to generate informed recommendations on vault growth, asset onboarding, and risk parameterization. Collaborate with auditors and protocol teams to resolve issues and ensure timely launch readiness. Monitor and respond to market events with clear internal communication and contribute to the evolution of Gauntlet’s on-chain risk offerings. Develop Growth & Incentive Analytics: Build and maintain dashboards to track incentive rates, protocol yield performance, and vault-level KPIs across chains. Monitor competitive benchmarks and market dynamics to ensure vaults maintain a strong relative position in the ecosystem. Perform creative, non-standard data analysis—including natural experiments, cohort retention, and TVL deltas—to support partnership strategy, incentive optimization, and proactive risk mitigation. Use these insights to inform data-driven decisions that drive sustainable growth and preserve Gauntlet’s competitive edge in DeFi. Enable Operational Excellence in Vault Deployments: Launch and monitor Vaults by configuring oracles, LLTVs, Vault parameters, and multisig protocols. Ensure accurate integration with Gauntlet tools and continuously monitor active markets to maintain optimal performance. Qualifications 1-3 yrs in crypto-native research, strategy, or trading seat with evidence of directing capital into third-party incentive programs. Comfort reading Solidity/Vyper, but you’re not the auditor of record. Fluency with on-chain data tools (Dune, Subgraphs) and Python or JS for ad-hoc analysis. Track record of shaping deals or product decisions through crisp memos—think equity-research write-ups or growth-analytics briefs. Strong personal interest in DeFi, with a proactive mindset and continuous drive to stay at the forefront of protocol developments, yield opportunities, and strategic differentiation. Common Sense and Competitive Bonus Points Appetite to mentor as team size and volume scales. Rolodex across DAO treasuries, defi protocols, oracles, liquidators, venture funds, or large LPs. Benefits and Perks 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 $1,000 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 \n 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 $165,000 - $205,000 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. #LI-Remote

Lead client-facing quantitative research engagements to develop and optimize DeFi mechanisms, build predictive models, and publish blockchain economic insights. | 1-10+ years in research or data science with deep DeFi and crypto knowledge, strong communication skills, and preferably advanced quantitative degrees. | 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. 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. About Applied Research The Applied Research Organization at Gauntlet seeks to answer DeFi’s hardest questions. We provide 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 systems. Unlike other product-oriented teams at Gauntlet, the Applied Research team provides white-glove solutions and services to top protocols and clients within the Web3, DeFi space. The Role We seek to expand our research team to lead client-facing engagements under the Applied Research organization. This role is client-facing and requires direct interaction between the researcher and the client (often top leaders/thinkers in the industry).We are hiring at all levels, from Junior to Lead, based on experience and ability. Junior Researchers are expected to perform high-quality and publishable research on behalf of various clients with direction and guidance from more senior researchers. In contrast, Lead researchers will be expected to support the roadmap and deliverables of multiple clients whilst upholding the quality bar for a team of more junior researchers. This role requires deep expertise in blockchain analytics, quantitative research, and statistical modeling, strong leadership skills to drive data-driven decision-making, and strong communication skills with the ability to interface directly with clients. Responsibilities • Perform in-depth mechanism design and research to develop the next generation of DeFi mechanisms and patterns. • Own client success through the development of research roadmaps and managing the team responsible for executing these roadmaps at a high-quality bar. • Develop predictive models, statistical analyses, and machine learning algorithms to extract blockchain and market data insights. • Work with large-scale structured and unstructured datasets, ensuring data integrity and efficient processing. • Publish research reports and insights on blockchain data trends, protocol performance, and economic models. • Attend international conferences to present Gauntlet’s research to the larger DeFi and Web3 community Qualifications • 1-10+ years of experience in research, data science, or mechanism design. • Strong verbal and written communication skills, along with the ability to operate in a client-facing role. • Deep understanding of DeFi and crypto topics through professional work or personal interest and experience. Bonus Points • Contribute to the forefront of DeFi economic understanding and optimization. • Work on projects that value deep research, quality, and practical outcomes. • Collaborate with a team committed to defining future financial systems. • Master’s or Ph.D. in Quantitative fields like Mathematics, Economics, Computer Science, Physics, or similar fields is a plus. Benefits and Perks • 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 • $1,000 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 $165,000 - $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. #LI-Remote