Quant Research Engineer, New Grad

Job not on LinkedIn

September 26

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $120k - $150k / year

⏰ Full Time

⚪️ Entry-level

📚 Research Engineer

🦅 H1B Visa Sponsor

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Gauntlet

WebsiteLinkedInAll Job Openings

Crypto • Finance • Fintech

Gauntlet is a company that specializes in economic modeling for the cryptocurrency space, primarily focusing on decentralized finance (DeFi) protocols. It provides full-service economic risk management, infrastructure advisory, and applied research to optimize economic incentives and drive sustainable growth for crypto protocols, chains, and onchain treasuries. Gauntlet leverages extensive data modeling and quantitative optimization techniques to protect over $35 billion in assets and mitigate risks associated with DeFi. The company is committed to advancing its methodologies and providing robust experience and service to the DeFi community.

11 - 50 employees

Founded 2018

₿ Crypto

💸 Finance

💳 Fintech

📋 Description

• 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

🎯 Requirements

• 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) • 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 AMM mathematics • Strong communication skills and ability to collaborate effectively in code reviews and strategy discussions • Must be able to work within the contiguous United States and Canada

🏖️ Benefits

• 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 • On Target Earnings potential and equity in the company