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Quantitative Markets Engineer

At pod network · Europe and UK | North America East Coast (Remote); New York City Area (Remote); UK

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Where you can work from

Open to North America, the United Kingdom and the United States

“Europe and UK | North America East Coast (Remote)”

From the location.

“New York City Area (Remote)”

From the location.

“UK”

From the job board field.

Which countries count as North America?

Canada, United States.

Not everyone includes Antigua and Barbuda, Bahamas, Barbados, Belize, Costa Rica, Cuba, Dominica, Dominican Republic, El Salvador, Grenada, Guatemala, Haiti, Honduras, Jamaica, Mexico, Nicaragua, Panama, Puerto Rico, Puerto Rico, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and Grenadines, Trinidad and Tobago, so for those we say “Unclear”.

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Posted
16 October 2025
First seen by us
11 October 2026
Last checked
6 hours ago

Job description

From pod network’s job post, as they wrote it.

Pod Network is rebuilding the world's markets from first principles - a global, always-on venue where execution is fast, fair, and provably free of the MEV and manipulation that distort today's exchanges. We're looking for someone who thinks in markets: order books, derivatives, risk, and liquidity. You'll design how our markets actually work and build the primitives that make them tradeable.

About the Role

Read the full description

You'll own the trading and markets layer at the heart of Pod - the order book, perpetuals engine, risk and margin systems, leverage logic, and the financial primitives built on top. This is a markets-first engineering role: your edge is a deep understanding of market microstructure, derivatives, and market making, paired with the ability to turn that knowledge into working code. You'll set the parameters that govern live markets, build and run Pod's internal market maker, and partner with external market makers to bootstrap liquidity across new venues.

What You'll Do

* Improve and maintain Pod's core trading modules: order book, perpetuals engine, risk engine, and leverage/margin systems.

* Configure and tune market parameters - funding, fees, tick/lot sizes, margin tiers, liquidation thresholds - as you launch and operate new markets.

* Design and ship novel on-chain financial primitives: vaults, proprietary/protocol AMMs, prediction markets, and other derivatives.

* Build and operate Pod's internal market maker, and partner with external market makers to deepen liquidity.

* Monitor live markets for health, risk, and anomalies, iterating on parameters and safeguards in response to real flow.

* Work closely with research on incentive design, batch auction mechanics, and settlement models.

Qualifications

Must-have:

* Deep understanding of market microstructure: order books, matching, derivatives (especially perpetuals), margin, liquidation, and funding mechanics.

* Hands-on experience in market making, quant trading, or designing/operating exchange and trading systems.

* Ability to translate markets knowledge into production code (e.g. Python, Rust, C++, or Go) and reason about correctness and edge cases under live trading conditions.

Bonus:

* DeFi / on-chain trading experience: AMMs, perp DEXs, vault strategies, prediction markets.

* Experience with low-latency or high-frequency trading systems.

* Blockchains, consensus, or distributed systems.

What We Offer

* Ownership of one of the most consequential surfaces at Pod, with direct impact on how global markets clear.

* Competitive salary plus meaningful upside.

* A high-impact role in an ambitious, fast-moving team working alongside strong researchers and top market makers.

* Travel opportunities and thought-leadership visibility in the crypto community.

About Pod Network

We are building Pod Network, a Layer-1 for open markets. Orders clear in frequent batch auctions, so the best price wins, not the fastest connection. Anyone can launch a market, its rules enforced by code, and anyone, anywhere can trade on it 24/7. We are backed by a16z crypto, 1kx, BBF, and Lemniscap.

Apply on pod network (opens in a new tab)

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