Risk Analyst | Vaults

3 days ago Be among the first 25 applicants P2P.org is the largest institutional staking provider with a TVL of over $10B and a market share exceeding 20% in restaking. We are continually focused on researching and improving our infrastructure to extract maximum APR while enhancing security. For instance, in ETH and SOL, our NRR is on average 10% higher than the market, and in DOT, it's 20% higher. We also place significant focus and resources on launching new networks such as TON, Avail, Monad, Babylon, Story, Berachain, and others, along with yield products. From restaking, where we are the largest operator with a 20+% market share, to yield aggregators on stablecoins. Our clients include BitGo, Copper, Crypto.com, Ledger, ByBit, Bitget, OKX, HTX, Bitvavo, SBI, and others, who choose us for our client-centric approach and extensive product line from unified API to widgets and custom dApps. We are also actively expanding our product line, exploring RWA, data, yield, and service products for banks, exchanges, custodians, and wallets. P2P.org unites talented individuals globally ️Despite our distributed team, we share a passion for decentralized finance - a fairer system for all. We code, learn, create, and connect to shape finance's future P2P.org boasts a strong reputation and network. We prioritize customer satisfaction and, as tech enthusiasts, develop innovative solutions that bolster our brand. You will Research and design algorithmic yield strategies for stablecoin and crypto vaults, targeting risk-adjusted yield optimization through leverage, protocol stacking, and dynamic rebalancing. Quantitatively assess protocol-specific and systemic risks, including smart contract vulnerabilities, liquidity depth, slippage, oracle dependencies, and market volatility impacts across integrated DeFi protocols Develop probabilistic and scenario-based models to quantify tail risks, VaR, and protocol failure impact; implement Monte Carlo simulations and agent-based modeling to evaluate strategy robustness across historical and synthetic conditions. Perform stress tests based on extreme market events, flash loan attacks, and stablecoin depegs to validate strategy durability. Work closely with smart contract and backend engineers to productionize models, automate rebalancing logic, and integrate risk controls directly into vault infrastructure. Ensure strategy logic is safely and efficiently deployed on-chain. You have Bachelor’s or Master’s degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Engineering, or Financial Engineering. 2–4 years of experience in a quantitative research, trading, or risk modeling role — preferably in crypto, DeFi, traditional finance, or fintech. Strong proficiency in Python for quantitative research (e.g. pandas, numpy, scipy, statsmodels, plotly, etc.). Experience developing and validating models for financial forecasting, portfolio optimization, or risk simulation. Familiarity with techniques like Monte Carlo simulations, time-series modeling, and statistical backtesting. Solid understanding of DeFi primitives (e.g. AMMs, lending/borrowing, stablecoins, LSTs, vaults, yield farming). At P2P.org we have a team of experts with their own unique approach and ownership culture. Together we gain experience and make dreams come trueFully remote Full-time Contractor (Indefinite-term Consultancy Agreement)Competitive salary level in $ (we can also pay in Crypto)Well-being program Mental Health care program Compensation for education, including Foreign Language & professional growth courses Equipment & co-working reimbursement program Overseas conferences, community immersion Positive and friendly communication culture P2P.org is committed to providing equal opportunities. All applicants will be considered without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, veteran status, or disability. Seniority level Entry level Employment type Full-time Job function Finance and Sales Industries IT Services and IT Consulting Referrals increase your chances of interviewing at P2P.org by 2x #J-18808-Ljbffr