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Quantitative Developer

Job not on LinkedIn

đź•’ February 25

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

đźź  Senior

đź–Ą Software Engineer

đź‘» Ghost score 54%

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Logo of Falcon Finance

Falcon Finance

11 - 50 employees

Founded 2024

₿ Crypto

đź’¸ Finance

🔥 Funding within the last year

đź’° $10M Series unknown on 2025-11

Crypto • Finance

Falcon Finance is a crypto-native DeFi platform that issues an overcollateralized synthetic dollar (USDf) and a yield-bearing token (sUSDf). Users can mint USDf by depositing eligible liquid assets, stake USDf to receive sUSDf that implements diversified, institutional-grade trading strategies, and lock sUSDf for fixed-term staking to amplify returns. The platform targets traders, crypto projects, exchanges and retail platforms with tools for liquidity unlocking, treasury management, and yield generation while emphasizing transparency, security, and resilient yield performance.

đź“‹ Description

• Build infrastructure for agent-powered systems that automate research, signal generation, and strategy management. • Develop scalable, real-time data pipelines across CEXs, DEXs, and on-chain sources. • Enable LLM-driven tooling and intelligent orchestration for crypto-native workflows. • Work closely with researchers to implement signals, portfolio models, and execution logic. • Integrate exchange APIs and blockchain data into a unified research and production environment. • Design systems that are robust, modular, and built for multi-strategy, multi-venue deployment. • Build dashboards and internal tools for portfolio analytics, scenario testing, and attribution.

🎯 Requirements

• Strong software engineering skills (Python preferred); experience with ML ops or distributed systems is advantageous. • Background in research agent tooling, cloud-native infrastructure, or data-intensive backtesting systems. • Solid understanding of crypto trading systems (spot, perpetuals, options) and multi-venue connectivity. • Demonstrated ability to deliver production-grade systems supporting live trading environments. • Experience with blockchain data parsing or exchange integrations. • Familiarity with smart contract interaction, intent-based execution, or autonomous research infrastructure. • Hands-on experience in crypto trading environments or building infrastructure for live strategy deployment.

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