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Quantitative Trading Analyst

posted by: spj_bot

Quantitative Trading Analyst (Risk Architecture)

Location: New York, NY (Full-Time)

Category: Finance / Quantitative Trading

Compensation: $140K - $300K

We are on a mission to democratize access to global markets by enabling anyone with a digital wallet to trade stocks, commodities, currencies, and crypto with total transparency. We are replacing the traditional, opaque brokerage model with a permissionless, on-chain trading stack where every transaction is verifiable via open-source code. Backed by $27.9M+ in funding from premier investors including General Catalyst, Jump, Susquehanna (SIG), and Alliance DAO, we are scaling an elite team to build the future of On-Chain Real World Assets (RWA).

We are seeking a Quantitative Trading Analyst to architect and upgrade the risk management engine securing our protocol. In this role, you will bridge the gap between Traditional Finance (TradFi) derivatives and DeFi market structures. Your mandate is to quantify protocol risk rigorously, designing systems that support high-leverage trading while mathematically ensuring absolute protocol solvency.

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DeFi Analyst - Lending

posted by: spj_bot

DeFi Analyst - Risk Management & Market Safety

Location: Preference for NYC but can be USA or Europe based

Compensation: $120K - $150K

Join a company building technology that makes decentralized markets safer and more accessible. Our advanced risk management systems, oracles, and AI models secure billions in value and are trusted by leading protocols like Aave, GMX, dYdX, Venus, and Jupiter.

Reporting directly to the Lending Lead, we are looking for a talented DeFi Analyst to join our team and help shape the future of decentralized finance by delivering crucial insights and strategic recommendations to our customers.

The DeFi Analyst will leverage our simulation platform and quantitative methodologies to analyze complex datasets, model protocol risks, and provide actionable insights that directly impact market safety and capital efficiency.

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