O pozici
AlgoQuant Asset Management is a multi-strategy digital asset manager allocating capital across 25+ internal and external quantitative trading pods. Founded in 2018, we have evolved into an institutional platform combining trading edge with strong governance and advanced technology, serving family offices and institutional investors globally.
Co budeš dělat
- Research and develop systematic trading strategies across DeFi protocols — AMMs, lending markets, perpetuals, yield vaults, and cross-chain venues
- Build and validate alpha signals from on-chain data: liquidity flows, wallet behaviour, MEV dynamics, funding rates, and protocol-level incentives
- Analyse smart contract mechanics and tokenomics to identify structural edges
- Run rigorous backtests and simulations, accounting for on-chain-specific issues: gas costs, slippage, block timing, and data availability
- Collaborate with engineers to deploy strategies into live capital
- Monitor live performance and iterate rapidly on results
- Contribute to shared research infrastructure, on-chain data pipelines, and tooling
Koho hledáme
- Strong mathematical or scientific background — top-decile graduates or postgraduates in maths, physics, computer science, or equivalent
- Deep, hands-on familiarity with DeFi protocols and on-chain market structure — you have spent meaningful time in these markets, not just read about them
- Experience working with on-chain data sources (e.g. The Graph, Dune, raw node data) and building research pipelines from them
- Strong Python programming; Solidity familiarity or smart contract auditing experience a plus
- Statistical rigour — a paranoid eye for lookahead bias, data leakage, and overfitting in on-chain research
- Self-directed and high-agency — comfortable owning research without hand-holding
- For junior candidates: strong research signal through projects, open-source contributions, or on-chain trading experiments
- For senior candidates: a live, attributable track record in DeFi or on-chain systematic trading
- Asia or US timezone strongly preferred for live market coverage
