We9re hiring a Quantitative Researcher to help scale Paxos Labs9s DeFi risk analysis capabilities.
Who we9re looking forThe team at Paxos Labs builds DeFi infrastructure that reimagines the way on-chain liquidity strategies are handled. Strategies and risk management are delegated to sophisticated actors who act from compute done in a data rich offchain environment-all the while maintaining on-chain constraints that enforce user safety.
We are looking for a motivated quantitative researcher that can
aptly research and deploy extensive knowledge across TradFi and DeFi to execute state-of-the-art risk curation and yield optimization across the DeFi ecosystem.
Most importantly, we are looking for researchers with interests in the following:- Quantitative Risk Analysis
- TradFi Trading Strategies
- DeFi Trading Strategies
Responsibilities- Manage a portfolio of yield generating opportunities across protocols and chain, closely collaborating with our DeFi engineers on execution.
- Manage algorithm design and backtesting to produce actionable insights for DeFi portfolio management.
- Create frameworks for risk analysis and portfolio optimization.
- Monitor data, forecast risk, and design triggers to enter opportunistic strategies or exit black swan events before anyone else in the market.
Qualifications- Deep Knowledge on Risk Management. Financial and statistical concepts to measure risk and optimal portfolio management.
- Deep Knowledge on DeFi Protocols. Internal mechanisms of many if not most of these protocols:
- Liquid staking protocols (Lido, EtherFi, Kinetiq)
- AMMs (Uniswap, Balancer)
- Lending protocols (Aave, Morpho Blue, Maple, Term Finance)
- Perp DEXs (Hyperliquid, Lighter, GMX).
- Auctions/RFQs/Routers (CoW Protocol, UniswapX, 1inch Fusion, Hashflow)
- Familiarity with Data Engineering
- Experience with managing a book in TradFi or DeFi across equities, tokens, loan books, or other types of strategies.
- Experience applying rigorous statistical methods to portfolio analysis.
LocationWe are a heavily in-person team working in New York City. We prize effective in-person coordination that allows us to move fast. We also consider remote work on a case by case basis.
Once we receive your application, we9ll be in touch if we are interested.
