asset class

Founding Engineer (DeFi)

posted by: spj_bot

Founding Engineer (Trading Infrastructure)

Location: New York, London (Office)

Compensation: Competitive

We are building the next generation of global trading infrastructure. Designed for sub-millisecond execution and institutional depth, our platform powers spot, perpetuals, and prediction markets on a unified liquidity engine. Built by a team of Wall Street veterans and crypto-native engineers, we are moving beyond the limitations of current exchanges to create a high-performance network that spans across asset classes with zero compromise.

As a Founding Engineer, you will be a core architect of our trading ecosystem. This is a high-leverage role where you will be trusted with substantial autonomy to make foundational design decisions. Working directly with the founders, you will bridge the gap between high-finance performance and decentralized innovation to deliver a best-in-class trading experience.

Key Responsibilities:

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Quantitative Trading Analyst

posted by: spj_bot

Quantitative Trading Analyst (Risk Architecture)

Location: Porto

Hybrid | Full-time

Compensation: $150K - $175K

Our client is a high-growth financial technology firm on a mission to democratize access to global markets. By leveraging blockchain technology, the organization is replacing traditional, opaque brokerage models with a transparent, permissionless trading stack. This infrastructure allows users with digital wallets to trade stocks, commodities, currencies, and digital assets with full transparency and verifiable, auditable code. Having secured over $27.9M in funding from premier venture capital firms—including General Catalyst, Jump, LocalGlobe, and Susquehanna (SIG)—the company is positioned at the forefront of the Decentralized Finance (DeFi) movement.

The organization is seeking a Quantitative Trading Analyst to architect and upgrade the risk management engine securing the protocol. This role serves as the critical bridge between Traditional Finance (TradFi) derivatives and DeFi market structures. The mandate involves rigorously quantifying protocol risk and designing systems that facilitate high-leverage trading of real-world assets while mathematically ensuring protocol solvency.

Key Responsibilities

Job Skills

numpy professional mathematical models risk management security policy stocks scipy microstructure solidity financial engineering integration adapt data querying high frequency trading automated market designing systems sql stochastic simulation optimize mathematical market maker transparency bridge high performance financial technology engine architecture m career development finance open interest mathematics statistics python high frequency managed securely arbitrage digital asset blockchain risk systems global markets catalyst pandas asset class audit risk derivatives edge technology liquidation collaborative economics mechanism design infrastructure venture capital brokerage parameters value at risk applicable data solvency stress testing derivative e engine securing analyst risk track
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Data Scientist

posted by: spj_bot

Data Scientist - DeFi Quantitative Research

Location: Remote - US, Canada and would consider candidates based in Puerto Rico

Compensation: $150K - $200K

We are a Series B quantitative research and optimization company that leads the field in DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance and currently manage risk and incentives covering over $42 billion in customer TVL. We are seeking experienced Data Scientists to help new and established protocols better understand and optimize the systems they've built.

In this role, you will work directly with the premier and most innovative DeFi protocols, developing expert-level knowledge of the mechanisms that underpin the industry. This requires a strong ability to perform in-depth quantitative research, manage client engagements end-to-end, and translate complex data insights into clear, actionable value.

Responsibilities:

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