Insurance Broker jobs in United Kingdom

Perpl is a high-performance, orderbook-based perpetual DEX built on Monad, a next-gen EVM-compatible L1 designed for parallel execution. We're building the infrastructure to support CEX-grade trading experiences in a fully decentralized, transparent environment.

Our mission is to create the most performant and capital-efficient trading venue on-chain. Backed by leading investors, Perpl is entering a key phase of deployment and growth, and we are expanding our internal trading operations to help bootstrap liquidity and stabilize the protocol in its earliest stages.

Perpl is seeking an Internal Quantitative Trader to design, implement, and operate delta-neutral market making strategies across Perpl’s orderbook and vault system. This is a foundational role within our protocol trading team that will focus on providing consistent, risk-managed liquidity while targeting modest returns. You will play a critical part in supporting Perpl's early user experience, helping us build resilient and efficient markets from launch.

• Design and implement automated market making strategies that remain delta-neutral across volatile conditions
• Actively manage capital allocations and position risk across Perpl's internal trading vaults
• Monitor and adjust inventory, exposure, and quote behavior based on market conditions
• Calibrate pricing, spread, and inventory management logic to meet target return/risk parameters
• Analyze performance and iterate on models to improve efficiency, reduce adverse selection, and manage slippage
• Collaborate with engineering and product teams to integrate strategy logic with vault and execution infrastructure
• Maintain robust monitoring and alerting systems to ensure uptime, accuracy, and risk controls
• Produce internal reports on liquidity provision, risk metrics, and trading outcomes

• 3+ years of experience in quantitative trading or systematic market making, ideally in crypto or FX
• Strong understanding of delta-neutral hedging, inventory risk, and capital efficiency in derivatives markets
• Proficiency in Python and/or Rust for strategy development and backtesting
• Familiarity with perpetual futures, CLOB mechanics, and AMM vs orderbook tradeoffs
• Experience managing risk across volatile, low-liquidity environments
• Strong analytical skills and comfort working directly with execution data, tick data, and P&l decomposition
• Self-directed, execution-focused, and aligned with the ethos of decentralized finance

• Experience operating internal trading books or protocol-aligned liquidity programs
• Familiarity with LP vault architectures, automated rebalancing, or strategy delegation
• Prior experience in delta-neutral strategies involving on-chain and centralized venues
• Exposure to the Monad architecture or high-performance EVM chains
• Comfort with simulation environments and stress-testing liquidity scenarios

• Shape the liquidity layer of a next-gen on-chain derivatives exchange
• High-impact, zero-to-one role in a lean and fast-paced trading environment
• Autonomy to implement strategies with real capital and measurable outcomes
• Competitive base compensation with upside through performance incentives and token alignment
• Remote-flexible team with a culture of experimentation, rigor, and first-principles design