Dragonfly
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Quant Trader- Dragonfly Portfolio
role at
Dragonfly 1 day ago Be among the first 25 applicants Join to apply for the
Quant Trader- Dragonfly Portfolio
role at
Dragonfly Dragonfly is a crypto-native Venture Capital and research firm with $2B+ in assets under management and 160+ portfolio companies (see list). Our Talent team works to support the recruiting efforts of the companies within our portfolio by connecting them with talented potential candidates. We are actively hiring
Quant Traders.
This is
not a listing for an internal role at Dragonfly . This posting is for us to connect you directly with one or more of the companies in our portfolio that are actively hiring for quant trading roles. If this description doesn’t match your background exactly but you’re a trader excited about crypto, we encourage you to apply; we may have other opportunities that are a better fit.
What We’re Looking For
3+ years of experience in quantitative trading or systematic market making, ideally in crypto or FX Strong understanding of delta-neutral hedging, inventory risk, and capital efficiency in derivatives markets Proficiency in Python and/or Rust for strategy development and backtesting Familiarity with perpetual futures, CLOB mechanics, and AMM vs orderbook tradeoffs Experience managing risk across volatile, low-liquidity environments Strong analytical skills and comfort working directly with execution data, tick data, and P&L decomposition Self-directed, execution-focused, and aligned with the ethos of decentralized finance
Depending On The Team, You Could Be
Design and implement automated market-making strategies that remain delta-neutral across volatile conditions Actively manage capital allocations and position risk across Perpl's internal trading vaults Monitor and adjust inventory, exposure, and quote behavior based on market conditions Calibrate pricing, spread, and inventory management logic to meet target return/risk parameters Analyze performance and iterate on models to improve efficiency, reduce adverse selection, and manage slippage Collaborate with engineering and product teams to integrate strategy logic with vault and execution infrastructure Maintain robust monitoring and alerting systems to ensure uptime, accuracy, and risk controls Produce internal reports on liquidity provision, risk metrics, and trading outcomes
Process
We’ll confidentially match you with portfolio companies aligned with your background, skill set, and interests. If mutual interest exists between you and a team, we’ll facilitate a warm introduction. If there isn’t a match today, we’ll keep you top of mind for future opportunities.
Our portfolio companies are globally distributed, hiring for remote, hybrid, and in-person roles worldwide. They’re building across the entire crypto ecosystem—including DeFi, CeFi, infrastructure, L1s and L2s, creator and consumer applications, NFTs, ZK, Crypto x AI, and more.
All candidate submissions are strictly confidential. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Finance and Sales Industries Venture Capital and Private Equity Principals Referrals increase your chances of interviewing at Dragonfly by 2x Get notified about new Quantitative Trader jobs in
New York City Metropolitan Area . Quant Developer for Systematic Trading team
Jersey City, NJ $100,000.00-$135,000.00 1 week ago New York, NY $140,000.00-$175,000.00 2 weeks ago New York, NY $150,000.00-$175,000.00 2 weeks ago New York, NY $167,200.00-$200,000.00 2 weeks ago New York, NY $185,000.00-$195,000.00 2 months ago Scientist II, Real World Data Science - Translational Research
New York, NY $133,000.00-$163,000.00 2 weeks ago Data Scientist – Predictive Modeling (Property Insurance)
Kingston, NY $90,000.00-$120,000.00 2 weeks ago New York City Metropolitan Area $150,000.00-$205,000.00 1 month ago New York City Metropolitan Area $80.00-$90.00 2 weeks ago New York, NY $150,000.00-$175,000.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Quant Trader- Dragonfly Portfolio
role at
Dragonfly 1 day ago Be among the first 25 applicants Join to apply for the
Quant Trader- Dragonfly Portfolio
role at
Dragonfly Dragonfly is a crypto-native Venture Capital and research firm with $2B+ in assets under management and 160+ portfolio companies (see list). Our Talent team works to support the recruiting efforts of the companies within our portfolio by connecting them with talented potential candidates. We are actively hiring
Quant Traders.
This is
not a listing for an internal role at Dragonfly . This posting is for us to connect you directly with one or more of the companies in our portfolio that are actively hiring for quant trading roles. If this description doesn’t match your background exactly but you’re a trader excited about crypto, we encourage you to apply; we may have other opportunities that are a better fit.
What We’re Looking For
3+ years of experience in quantitative trading or systematic market making, ideally in crypto or FX Strong understanding of delta-neutral hedging, inventory risk, and capital efficiency in derivatives markets Proficiency in Python and/or Rust for strategy development and backtesting Familiarity with perpetual futures, CLOB mechanics, and AMM vs orderbook tradeoffs Experience managing risk across volatile, low-liquidity environments Strong analytical skills and comfort working directly with execution data, tick data, and P&L decomposition Self-directed, execution-focused, and aligned with the ethos of decentralized finance
Depending On The Team, You Could Be
Design and implement automated market-making strategies that remain delta-neutral across volatile conditions Actively manage capital allocations and position risk across Perpl's internal trading vaults Monitor and adjust inventory, exposure, and quote behavior based on market conditions Calibrate pricing, spread, and inventory management logic to meet target return/risk parameters Analyze performance and iterate on models to improve efficiency, reduce adverse selection, and manage slippage Collaborate with engineering and product teams to integrate strategy logic with vault and execution infrastructure Maintain robust monitoring and alerting systems to ensure uptime, accuracy, and risk controls Produce internal reports on liquidity provision, risk metrics, and trading outcomes
Process
We’ll confidentially match you with portfolio companies aligned with your background, skill set, and interests. If mutual interest exists between you and a team, we’ll facilitate a warm introduction. If there isn’t a match today, we’ll keep you top of mind for future opportunities.
Our portfolio companies are globally distributed, hiring for remote, hybrid, and in-person roles worldwide. They’re building across the entire crypto ecosystem—including DeFi, CeFi, infrastructure, L1s and L2s, creator and consumer applications, NFTs, ZK, Crypto x AI, and more.
All candidate submissions are strictly confidential. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Finance and Sales Industries Venture Capital and Private Equity Principals Referrals increase your chances of interviewing at Dragonfly by 2x Get notified about new Quantitative Trader jobs in
New York City Metropolitan Area . Quant Developer for Systematic Trading team
Jersey City, NJ $100,000.00-$135,000.00 1 week ago New York, NY $140,000.00-$175,000.00 2 weeks ago New York, NY $150,000.00-$175,000.00 2 weeks ago New York, NY $167,200.00-$200,000.00 2 weeks ago New York, NY $185,000.00-$195,000.00 2 months ago Scientist II, Real World Data Science - Translational Research
New York, NY $133,000.00-$163,000.00 2 weeks ago Data Scientist – Predictive Modeling (Property Insurance)
Kingston, NY $90,000.00-$120,000.00 2 weeks ago New York City Metropolitan Area $150,000.00-$205,000.00 1 month ago New York City Metropolitan Area $80.00-$90.00 2 weeks ago New York, NY $150,000.00-$175,000.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr