Quant Researcher

Quant Researcher London Engineering Hybrid Full-time Summary Perpl is a high-performance, orderbook-based perpetuals DEX launching on Monad. We're backed by top crypto-native investors and building the next evolution of on-chain trading-one that combines CEX-level performance with DeFi composability and transparency. Our mission is to bring the speed, efficiency, and capital depth of traditional finance on-chain, without compromise. Built on Monad, the first high-throughput EVM chain with parallel execution, Perpl enables traders and LPs to operate in a fully permissionless, transparent environment with zero slippage and deep liquidity. The Opportunity Perpl is seeking a Quantitative Researcher to join its London-based team. In this role, you will:

• Design and implement quantitative trading models for both market making and directional strategies in on-chain perpetuals markets
• Apply statistical techniques to develop short-term alpha signals, with time horizons ranging from milliseconds to minutes
• Lead research efforts to improve signal generation, execution logic, and strategy robustness through extensive backtesting
• Analyze orderbook and transaction-level data across a range of trading pairs and market conditions to identify inefficiencies
• Run agent-based simulations to evaluate market structure and the behavior of LP vaults
• Collaborate with protocol engineering and smart contract teams to optimize vault mechanics and trading systems
• Improve and maintain internal research infrastructure in Python and optionally in C++

Qualifications Required

• Bachelor's or higher degree in Mathematics, Statistics, Computer Science, Physics, Engineering, or a related quantitative field
• Advanced proficiency in Python for data analysis, research, and prototyping
• Strong foundation in probability theory, statistics, and time series analysis
• Demonstrated ability to work with large datasets and derive actionable insights from noisy financial data
• High agency and self-direction, with a bias toward shipping and iteration
• Interest in decentralized finance, trading systems, and market structure

Quant Trading Track

• Experience designing and deploying market-making or directional trading strategies in a production setting
• Familiarity with high-frequency or medium-frequency strategy development, especially on CLOBs

Quant Research Track

• Experience developing machine learning models or statistical pipelines for financial data
• Experience with backtesting frameworks, model retraining pipelines, or research tooling

Preferred

• Prior experience in market making or quantitative trading, particularly in crypto or DeFi
• Familiarity with smart contract mechanics and decentralized exchanges
• Knowledge of C++ or Rust
• Track record in quantitative competitions (e.g., math olympiads, Kaggle, trading competitions)
• Exposure to Monad or other high-performance EVM-compatible chains

Why Join Perpl

• Opportunity to shape the future of on-chain trading on a novel, high-performance EVM L1
• High-impact role with direct influence on protocol design and capital strategy
• Fast-paced, collaborative culture with no legacy systems or bureaucracy
• Competitive compensation with significant token upside
• Flexible work environment with a primary office in London; relocation support available for strong candidates

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