DeFi Quant Engineer
LO:TECH is a capital markets firm for the onchain world, providing digital-asset market making, institutional-grade market data, analytics, and execution services. It serves institutional clients, trading firms, funds, banks, researchers, and token projects.
About LO:TECH
LO:TECH is a London-based trading business focused on onchain and digital-asset capital markets. Its proprietary high-frequency trading technology and infrastructure support liquidity provision across centralized and decentralized venues, agency execution algorithms, and institutional market-data services. The company provides live and historical tick-level crypto and prediction-market data through APIs, CSVs, websocket streams, and replay services, alongside transparent market-making dashboards and tailored enterprise data plans. Its clients include token projects, quantitative researchers, funds, banks, and other institutional market participants.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will extend onchain and offchain connectivity across AMMs, order-book venues, and centralised exchanges. You will optimise pricing, execution, data-ingestion, and network pathways for low-latency trading. You will develop and validate intelligent liquidity strategies, trade monitoring, and real-time risk controls.
Requirements
- Advanced degree in mathematics, statistics, physics, computer science, or a similar field
- 2+ years of applied programming experience in Rust and Solidity
- Onchain markets intuition
- Experience building low-latency, high-throughput systems for onchain data processing or trading
- Experience writing high-performance, multithreaded, and asynchronous code
- Experience developing scalable distributed systems and services interacting with L1 and L2 networks
- Understanding of database systems, SQL, and state/query modelling
- Experience with Linux/Unix, AWS, Git, Docker, and DevOps workflows
Responsibilities
- Extend and improve onchain and offchain connectivity across AMMs, order-book venues, and centralised exchanges
- Fine-tune and benchmark pricing and execution engines
- Optimise data-ingestion and network pathways for low-latency market data access
- Design, develop, and validate intelligent liquidity strategy components
- Develop trade-monitoring and real-time risk controls