Quantitative Researcher
Falcon Finance operates a universal-collateralization protocol for minting USDf, an overcollateralized synthetic dollar, and generating yield through sUSDf.
Maintainer signals as of 9/25/2026
Funding history
Projects
About Falcon Finance
Falcon Finance, operated by Falcon Digital Limited, is a crypto-native universal-collateralization and synthetic-dollar protocol. Users deposit eligible stablecoins, cryptocurrencies, and selected tokenized real-world assets to mint USDf, then may stake USDf into sUSDf, a yield-bearing ERC-4626 asset. Falcon also offers Falcon Card for spending USDf and provides go-to-market, distribution, and rewards services for fUSD, an institutional digital dollar issued by Anchorage Digital Bank.
Skills
About the Role
You will design and test trading signals, research centralized and decentralized markets, and identify tradable inefficiencies. You will develop research automation tools, incorporate market-structure data into predictive models, build portfolio and risk frameworks, and work with developers to move research into production.
Requirements
- Advanced degree in a quantitative discipline or equivalent systematic strategy research experience
- Time-series modeling, statistical learning, or portfolio management and asset allocation background
- Understanding of crypto markets, perpetual futures, and exchange microstructure
- Python
- Experience with complex datasets
- AI or agent-based tooling for research automation and signal generation
- Familiarity with centralized and decentralized trading venues
- Live crypto strategy development or production-level research deployment experience
Responsibilities
- Design and test trading signals using market microstructure, flow dynamics, and token-level data
- Research centralized and decentralized markets for tradable patterns, inefficiencies, and cross-venue dynamics
- Build and refine agent-based tools for research automation, signal analysis, and strategy prototyping
- Incorporate funding, open interest, volume profiles, and market-structure data into predictive models
- Develop portfolio allocation models and risk frameworks for capital deployment and strategy sizing
- Collaborate with developers to transition research outputs into production systems
- Track developments in on-chain analytics, blockchain data science, DeFi, and agent-based trading