Quantitative Strategy Researcher (DEX Arbitrage)

Job Title: Quantitative Strategy Researcher (DEX Arbitrage)Location: Fully Remote

Employment Type: Full-Time

Reports To: Head of Quantitative Research / CIO

About the Company

Our client is an institutional-grade digital asset quantitative trading firm with 10+ years of live trading experience across traditional and crypto markets. Their core team comprises alumni from Goldman Sachs, Citadel, Morgan Stanley, and other tier-1 institutions, with 85%+ holding master’s or doctoral degrees in mathematics, financial engineering, and computer science. The firm operates under a Cayman Islands SPC fund structure and manages assets at scale for global institutional investors, family offices, and high-net-worth clients. Their proprietary trading and risk management infrastructure runs at millisecond-level response times, backed by 100+ sub-strategies per major strategy class and 1,000+ effective factors.

Role Overview

We are looking for a Quantitative Strategy Researcher focused on DEX arbitrage opportunities. This role sits at the intersection of on-chain microstructure research and systematic strategy development. You will be responsible for identifying, modeling, and validating structural arbitrage opportunities across emerging on-chain liquidity venues, and collaborating with execution engineers to bring strategies to production.

Key Responsibilities

• Conduct systematic research on the microstructure of emerging on-chain liquidity layers, including order-book-based perpetual DEXs (e.g., Trade.xyz, Aster, Vertex, Paradex). Quantify their incentive mechanisms, slippage models, market-making windows, and capacity limits.

• Analyze L1/L2 order book data and on-chain data to identify DEX-CEX quote latency, cross-protocol spreads, and structural arbitrage opportunities. Formulate actionable strategy hypotheses.

• Build alpha signal models across dimensions including price impact functions, funding rate divergence, liquidity dynamics, and order flow analysis.

• Independently own the full research lifecycle of each strategy: hypothesis generation, backtesting framework design, capacity estimation, parameter optimization, post-launch P&L attribution, and alpha decay monitoring.

• Collaborate with execution engineers to translate strategy logic into deployable execution specifications. Define quantitative evaluation criteria for execution quality (slippage budgets, signal response time windows, etc.).

Hard Requirements

• Verifiable live track record in on-chain arbitrage or market-making strategies. Must be able to clearly articulate strategy logic, capacity, risk exposure, and actual P&L performance.

• Deep understanding of at least one DEX mechanism’s pricing logic (order-book-based perpetual DEX), sufficient to identify exploitable structural inefficiencies.

• Ability to independently handle data processing, backtesting framework development, and signal validation without relying on others’ data infrastructure.

• Able to read and understand smart contract logic and assess how on-chain interactions impact strategy latency and effectiveness.

Nice-to-Haves

• Hands-on research experience with newer DEX protocols such as Trade.xyz, Aster, Paradex, or Lighter, including their market structure and order mechanics.

• Familiarity with protocol-level incentive mechanisms such as Hyperliquid HIP-1/HIP-3.

• Understanding of structural on-chain opportunities including funding rate arbitrage, calendar spread trades, and liquidation-triggered mechanics.

量化策略研究员（DEX 套利方向）

工作形式： 全职远程

岗位职责

● 系统研究新兴链上流动性层的微观结构，包括 Trade.xyz、Aster、Vertex、Paradex 等订单簿型 Perp DEX，量化其激励机制、滑点模型、做市窗口和容量上限

● 分析 L1/L2 订单簿数据与链上数据，识别 DEX-CEX 报价延迟、跨协议价差和结构性套利机会，提出可执行的策略假设

● 构建 alpha 信号模型：价格影响函数、资金费率偏差、流动性、订单流等方向均在范围内

● 独立完成策略全生命周期的研究侧工作：假设提出、回测框架设计、容量评估、参数优化、上线后 PnL 归因分解与Alpha 衰减监控

● 与执行工程师协作，将策略逻辑转化为可落地的执行规范，对执行质量提出量化评估标准（滑点预算、信号响应时间窗口等）

硬性要求

● 有可验证的链上套利或做市策略实盘经历，能清晰描述策略逻辑、容量、风险敞口和实际 PnL 表现

● 熟悉至少一类 DEX 机制的定价逻辑：订单簿型 Perp DEX，理解深度到能识别可利用的结构性偏差

● 能独立完成数据处理、回测框架搭建和信号验证，不依赖他人的数据基础设施

● 能读懂合约逻辑，理解链上交互对策略时效性的实际影响

加分项

● 实际研究过 Trade.xyz、Aster、Paradex 或 Lighter 等较新 DEX 协议的市场结构

● 熟悉 Hyperliquid HIP-1/HIP-3 等协议激励机制

● 了解资金费率套利、跨期价差、清算触发机制等链上结构性机会