Responsibilities Design and optimize overall risk strategy for the decentralized exchange (DEX), including but not limited to trading behavior identification, liquidity risk, and price manipulation risk Build on-chain data-driven risk models to identify abnormal trades, MEV attacks, volume inflation, and arbitrage risks Design and iterate on the risk indicator framework (e.g., abnormal slippage, depth changes, pool health) Collaborate with product and engineering teams to implement risk strategies as real-time monitoring and automated risk systems Continuously track changes in the DEX ecosystem (AMM mechanisms, aggregators, cross-chain bridges, etc.) to proactively identify emerging risks Participate in post-mortems of major risk incidents and optimize strategy response mechanisms Requirements Bachelor's degree or above; finance, computer science, or mathematics majors preferred3+ years of experience in risk strategy, quantitative analysis, or on-chain data analysis Familiar with DEX mechanisms (AMM, order book DEX, liquidity pools, impermanent loss, etc.) Familiar with on-chain analytics tools (Dune, Nansen, Flipside, etc.) or proficient in SQL/Python Deep understanding of MEV, arbitrage, and flash loan attacks Strong data modeling and risk identification capabilities