Quantitative Development Engineer

Remote

About the role

Job Responsibilities：

「Agent Leverage & AI Integration」 Structure trade execution logic into high-fidelity API interfaces and well-defined safe-operating-bounds that AI agents can act within reliably. You don't just use AI tools — you architect the guardrails that let agents execute at speed without blowing up the book.
「Full Cycle Research & System Ownership」 Own the entire strategy lifecycle — from hypothesis formation and data exploration, through back-testing and validation, to production deployment and post-trade analysis. You don't hand off; you own outcomes end-to-end. Continuously monitor live system performance (latency, slippage, fill rates) and drive capital efficiency improvements proactively.
「Strategy Validation & Back-testing」 Engineer rigorous back-testing frameworks on historical tick-level data. Stress-test perpetual strategies across diverse market regimes before capital is deployed. The bar isn't "it works in backtests" — it's "it survives production."
「Deep Data Engineering」 Work with large-scale, complex datasets to surface non-obvious patterns and translate them into concrete system improvements. Communicate technical findings clearly across engineers, PMs, and stakeholders — clarity of insight matters as much as depth of analysis.
「Perp Risk & Dynamic Hedging」 Build and maintain automated risk systems: real-time margin monitoring, dynamic delta hedging, and exposure management. Operate effectively in high-pressure environments — when something breaks at 3am, you diagnose and resolve it.
「DeFi & On-Chain Innovation」 Stay ahead of CeFi/DeFi developments. Integrate emerging mechanisms — smart contract interactions, automated on-chain protocols, new liquidity venues — into systematic trading algorithms before the market prices them in.

Qualifications：

「Quantitative Foundation」 Strong academic background in Mathematics, Physics, Statistics, Computer Science, or a related field. Master's or PhD preferred — but demonstrated research output and production systems matter more than credentials.
「Full Cycle Track Record」 Proven experience taking quantitative strategies from ideation to live production. Not just research — you've deployed, monitored, and iterated on live systems. Experience managing risk across multi-asset portfolios.
「Technical Stack」 Advanced Python and SQL; C++ or Rust for latency-sensitive applications. You write production-grade code, not just research notebooks.
「System & Architectural Judgment」 Experience optimizing live trading infrastructure for latency, throughput, and execution quality. You can reason about where the bottleneck is — network, compute, contract, or logic — and fix it at the right layer.
「Blockchain Depth」 Solid understanding of smart contract mechanics (Solidity/Rust), DeFi primitives (DEXs, AMMs, lending protocols), and on-chain data analysis. Comfortable reading raw transactions and reasoning about protocol-level edge cases.
「Learning Velocity」 The DeFi landscape changes weekly. New protocols, new risk vectors, new alpha surfaces. You experiment fast, update your priors, and don't get attached to yesterday's playbook.
「Ownership Under Pressure」 High-stakes, real-time environment. You drive outcomes, not tasks — when something is blocking the system, you find it and fix it regardless of whose "scope" it falls in.

How to Apply:

Send your resume, GitHub link to at [email protected], Use subject: "DEX Dev Engineer Application - [Your Name]".