analyst risk

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 Market Analyst

posted by: spj_bot

DeFi Market Analyst - Risk & Innovation

Location: Remote - Preference for NYC - Will accept Remote Europe & USA to work EST

Compensation: $120K - $150K

We are a technology company that builds cutting-edge risk management systems, oracles, and AI models to make markets safer and more accessible. Our platform is trusted by leading protocols in decentralized finance (DeFi), securing and managing billions of dollars in assets. We are seeking a talented DeFi Market Analyst to join our team, reporting directly to the Innovation Lead, to help shape the future of decentralized finance.

As a DeFi Market Analyst, you will be crucial in expanding our trading capabilities, optimizing incentive programs, and providing actionable quantitative insights. This role requires a strong blend of market research, quantitative analysis, and operational efficiency to improve execution quality across our platform.

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