Gauntlet

Develop and operate scalable distributed systems, build real-time data pipelines, and integrate Web3 protocols. | Requires 6+ years of software engineering experience, proficiency in Python, Rust, or JavaScript/TypeScript, experience with distributed systems, Web3, and cloud deployment. | 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 November 2025, Gauntlet manages over $2B 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 around 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 >$2B 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. Join our derivatives trading team and work on the key infrastructure that powers our product offering as well as trading systems. Work with a team with decades of experience in tech and finance to build the backbone of our high-performance derivatives trading strategies. You'll work close to trading, own critical infrastructure end-to-end, and ship systems that manage real capital in live crypto markets. \n Responsibilities Design, implement, and operate scalable distributed systems in production. Build low-latency and streaming systems for real-time and near real-time workloads. Develop data pipelines and ETL workflows for ingesting, transforming, and serving data. Build and maintain application services and APIs used by internal and external systems. Implement Web3 protocol integrations, including smart contract interactions and on-chain data ingestion via RPCs, logs, and indexers. Apply SRE principles to improve reliability, observability, and operational correctness. Participate in incident response, debugging production issues and driving root-cause fixes. Contribute to system design and code reviews, maintaining high engineering standards. Leverage AI-assisted development tools to improve productivity, code quality, and system understanding, while exercising strong engineering judgment. Write and maintain technical documentation for systems and workflows. Qualifications 6+ years of professional software engineering experience. Strong proficiency in Python, Rust, and/or JavaScript/TypeScript. Experience building low-latency or high-throughput systems. Experience designing and operating scalable distributed systems. Hands-on experience with Web3 systems, including interacting with smart contracts and consuming on-chain data. Experience with streaming or messaging systems (e.g. Kafka, Pub/Sub). Experience with data storage systems (e.g. Postgres, ClickHouse). Experience deploying and operating software in cloud environments (e.g. GCP). Familiarity with containerized systems (Docker, Kubernetes). Understanding of SRE practices, including monitoring, alerting, and incident response. Strong understanding of security fundamentals (authentication, authorization, secrets management). Bonus Points Previous experience at financial or trading firms. Smart contract development experience (e.g. Solidity). Experience with workflow orchestration (e.g. Dagster). Experience operating systems with strict reliability or performance requirements. Exposure to infrastructure as code or CI/CD systems. 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 $185,000 - $225,000 a year \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

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

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